mytec/rfcp

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RFCP - RF Coverage Planning Tool

Technical Specification v3.0 (Final)

Project: RF Coverage Planner
Version: 3.0 (PWA/Offline-First/Manual Input)
Target URL: https://rfcp.eliah.one
Repository: https://git.eliah.one/mytec/rfcp.git
Created: 2025-01-30
Author: Claude + Олег (mytec)
Status: 🚀 Ready for Implementation

Executive Summary

RFCP - Progressive Web Application для планування та візуалізації покриття wireless мереж (LTE, UHF/VHF) з повною підтримкою offline режиму. Інструмент надає військовим зв'язківцям гнучкий, точний засіб планування розгортання радіосистем на місцевості з урахуванням рельєфу.

Core Philosophy

"Flexibility over Presets" - Користувач вводить параметри вручну, розуміє що робить, експериментує. Ніяких жорстких обмежень на обладнання.

Key Features

📴 100% Offline Capable - працює без інтернету після першого завантаження
🎛️ Manual Input First - повна гнучкість параметрів, без прив'язки до конкретного обладнання
📱 Mobile-First - оптимізовано для планшетів та телефонів
🗺️ High-Res Terrain - 30m SRTM elevation data для точних розрахунків
🔐 Optional Auth - MAS OAuth для синхронізації між пристроями
📦 Smart Download - terrain on-demand для 2-3 областей (~800MB-1.2GB)
⚡ Fast - всі RF розрахунки в браузері (Web Workers)
🌐 Universal - LTE (MVP) → UHF/VHF (v1.1+)

Target Users

Військові зв'язківці (планування tactical LTE/radio networks)
Телеком інженери (proof-of-concept deployments)
UMTC infrastructure планувальники
Amateur radio operators (майбутнє)

Architecture Overview

High-Level Architecture

┌─────────────────────────────────────────────────────┐
│              Browser / Mobile Device                 │
│  ┌───────────────────────────────────────────────┐  │
│  │         RFCP PWA Application                  │  │
│  │                                               │  │
│  │  ┌──────────────┐      ┌──────────────────┐ │  │
│  │  │   UI Layer   │      │   Service Worker │ │  │
│  │  │   (React)    │◄────►│  (Offline Cache) │ │  │
│  │  │              │      │                  │ │  │
│  │  │ - Manual     │      │ - Map tiles      │ │  │
│  │  │   Input UI   │      │ - App assets     │ │  │
│  │  │ - Dynamic    │      │ - Terrain data   │ │  │
│  │  │   Bands      │      │                  │ │  │
│  │  └──────────────┘      └──────────────────┘ │  │
│  │         │                                    │  │
│  │  ┌──────▼───────────────────────────────┐   │  │
│  │  │      RF Calculation Engine           │   │  │
│  │  │      (TypeScript + Web Workers)      │   │  │
│  │  │                                       │   │  │
│  │  │  - Universal FSPL (any frequency)    │   │  │
│  │  │  - Terrain loss (30m SRTM)           │   │  │
│  │  │  - Sector antenna patterns           │   │  │
│  │  │  - Multi-site aggregation            │   │  │
│  │  └──────────────────────────────────────┘   │  │
│  │         │                                    │  │
│  │  ┌──────▼───────────────────────────────┐   │  │
│  │  │      Offline Storage                 │   │  │
│  │  │  - IndexedDB (Terrain + Configs)     │   │  │
│  │  │  - LocalStorage (Settings)           │   │  │
│  │  └──────────────────────────────────────┘   │  │
│  └───────────────────────────────────────────────┘  │
└─────────────────────────────────────────────────────┘
              │ (Optional Network Connection)
              ▼
┌─────────────────────────────────────────────────────┐
│           Backend API (FastAPI) - Optional          │
│  ┌─────────────────┐      ┌────────────────────┐   │
│  │  MAS OAuth      │      │  Terrain Data CDN  │   │
│  │  Integration    │      │  (30m SRTM files)  │   │
│  └─────────────────┘      └────────────────────┘   │
│  ┌──────────────────────────────────────────────┐  │
│  │  Config Sync (for multi-device users)        │  │
│  └──────────────────────────────────────────────┘  │
└─────────────────────────────────────────────────────┘

Technology Stack

Frontend (PWA Core)

Core Framework:
  - React: 18.x (with TypeScript)
  - TypeScript: 5.x
  - Vite: 5.x (build tool)
  - Tailwind CSS: 3.x

Mapping Libraries:
  - Leaflet: 1.9.x (map rendering)
  - React-Leaflet: 4.x
  - Leaflet.heat: 0.2.x (heatmap visualization)

Offline Capabilities:
  - Workbox: 7.x (Service Worker management)
  - Dexie.js: 4.x (IndexedDB wrapper)
  - localforage: 1.x (fallback storage)

State Management:
  - Zustand: 4.x (lightweight state)
  - React Query: 5.x (server state, optional)

RF Calculations:
  - Pure TypeScript (no dependencies)
  - Web Workers for parallel processing
  - Custom SRTM parser (30m resolution)

UI Components:
  - Headless UI (accessible components)
  - Heroicons (icons)
  - React Hook Form (forms)
  - React Range (sliders)

Backend (Optional/Supplementary)

API Framework:
  - FastAPI: 0.110.x
  - Python: 3.11+
  - Uvicorn: ASGI server

Authentication:
  - matrix-auth-server OAuth client
  - JWT token validation

Data Storage:
  - SQLite (config backups)
  - File system (30m SRTM tiles)

CDN/Static Files:
  - Caddy reverse proxy
  - Pre-processed SRTM tiles

Infrastructure

Hosting:
  - VPS-A (Germany) or dedicated container
  - Caddy 2.x (reverse proxy + TLS)
  - Docker + Docker Compose

Domain:
  - rfcp.eliah.one

Monitoring:
  - Uptime Kuma integration

Data Models

TypeScript Types (Frontend)

// types/site.ts
export interface Site {
  // Identity
  id: string;                  // UUID
  name: string;                // User-defined name
  
  // Location
  lat: number;                 // Latitude
  lon: number;                 // Longitude
  height: number;              // meters above ground (1-100)
  
  // RF Parameters (all manually editable)
  power: number;               // dBm (10-50)
  gain: number;                // dBi (0-25)
  frequency: number;           // MHz (400-6000, user can enter any value)
  
  // Antenna Configuration
  antennaType: 'omni' | 'sector';
  azimuth?: number;            // degrees (0-360), for sector only
  beamwidth?: number;          // degrees (30-120), for sector only
  
  // UI/Display
  color: string;               // hex color for map marker
  visible: boolean;            // show/hide on map
  
  // User Metadata (optional, free-text)
  notes?: string;              // e.g., "ZTE B8200 + Huawei APX4518R0"
  equipment?: string;          // free-form equipment description
  
  // Timestamps
  createdAt: Date;
  updatedAt: Date;
}

// types/coverage.ts
export interface CoveragePoint {
  lat: number;
  lon: number;
  rsrp: number;                // dBm (calculated signal strength)
  siteId: string;              // which site provides this coverage
}

export interface CoverageResult {
  points: CoveragePoint[];
  calculationTime: number;     // milliseconds
  totalPoints: number;
  bounds: LatLngBounds;
  settings: CoverageSettings;
}

export interface CoverageSettings {
  radius: number;              // km (calculation radius)
  resolution: number;          // meters (grid resolution)
  rsrpThreshold: number;       // dBm (minimum signal to display)
}

// types/terrain.ts
export interface TerrainTile {
  region: string;              // e.g., "ukraine-east"
  bounds: {
    north: number;
    south: number;
    east: number;
    west: number;
  };
  resolution: 30;              // arc-seconds (30m SRTM)
  data: Int16Array;            // elevation data
  width: number;               // tile width in pixels
  height: number;              // tile height in pixels
  downloadedAt: number;        // timestamp
  sizeBytes: number;           // compressed size
}

// types/frequency.ts
export interface FrequencyBand {
  value: number;               // MHz
  name: string;                // e.g., "Band 3"
  range: string;               // e.g., "1710-1880 MHz"
  type: 'LTE' | 'UHF' | 'VHF' | '5G' | 'Custom';
  characteristics: {
    range: 'short' | 'medium' | 'long';
    penetration: 'poor' | 'fair' | 'good' | 'excellent';
    typical: string;           // use case description
  };
}

// types/project.ts
export interface ProjectConfig {
  id: string;
  name: string;
  description?: string;
  sites: Site[];
  mapCenter: [number, number];
  mapZoom: number;
  coverageSettings: CoverageSettings;
  createdAt: Date;
  updatedAt: Date;
  syncedAt?: Date;             // for cloud sync
}

// types/settings.ts
export interface AppSettings {
  // UI
  theme: 'light' | 'dark' | 'auto';
  language: 'uk' | 'en';
  
  // Units
  units: 'metric';             // only metric for now
  
  // Defaults
  defaultFrequency: number;    // MHz
  defaultPower: number;        // dBm
  defaultHeight: number;       // meters
  defaultGain: number;         // dBi
  
  // Features
  autoDownloadTerrain: boolean;
  enableCloudSync: boolean;
  
  // Map
  mapTileServer: string;
  defaultMapZoom: number;
}

IndexedDB Schema (Dexie)

// db/schema.ts
import Dexie, { Table } from 'dexie';

export interface DBTerrainTile {
  region: string;              // primary key
  bounds: {
    north: number;
    south: number;
    east: number;
    west: number;
  };
  resolution: 30;
  data: ArrayBuffer;           // compressed elevation data
  width: number;
  height: number;
  downloadedAt: number;
  sizeBytes: number;
}

export interface DBProjectConfig {
  id: string;                  // primary key (UUID)
  name: string;
  data: string;                // JSON serialized ProjectConfig
  createdAt: number;
  updatedAt: number;
  syncedAt?: number;
}

export class RFCPDatabase extends Dexie {
  terrain!: Table<DBTerrainTile, string>;
  projects!: Table<DBProjectConfig, string>;

  constructor() {
    super('rfcp-db');
    this.version(1).stores({
      terrain: 'region, downloadedAt',
      projects: 'id, updatedAt, syncedAt'
    });
  }
}

export const db = new RFCPDatabase();

Frequency Bands & Configuration

Common Frequency Bands (Reference Data)

// constants/frequencies.ts
export const COMMON_FREQUENCIES: FrequencyBand[] = [
  // LTE Bands
  {
    value: 800,
    name: 'Band 20',
    range: '791-862 MHz',
    type: 'LTE',
    characteristics: {
      range: 'long',
      penetration: 'excellent',
      typical: 'Rural coverage, deep building penetration'
    }
  },
  {
    value: 1800,
    name: 'Band 3',
    range: '1710-1880 MHz',
    type: 'LTE',
    characteristics: {
      range: 'medium',
      penetration: 'good',
      typical: 'Urban/suburban, most common in Ukraine'
    }
  },
  {
    value: 1900,
    name: 'Band 2',
    range: '1850-1990 MHz',
    type: 'LTE',
    characteristics: {
      range: 'medium',
      penetration: 'good',
      typical: 'North America, some military equipment'
    }
  },
  {
    value: 2600,
    name: 'Band 7',
    range: '2500-2690 MHz',
    type: 'LTE',
    characteristics: {
      range: 'short',
      penetration: 'fair',
      typical: 'High capacity urban, shorter range'
    }
  },
  
  // Future: UHF/VHF (v1.1)
  {
    value: 150,
    name: 'VHF High',
    range: '136-174 MHz',
    type: 'VHF',
    characteristics: {
      range: 'long',
      penetration: 'excellent',
      typical: 'Tactical radio, emergency services'
    }
  },
  {
    value: 450,
    name: 'UHF',
    range: '400-470 MHz',
    type: 'UHF',
    characteristics: {
      range: 'medium',
      penetration: 'good',
      typical: 'Military tactical radio, PMR446'
    }
  },
  
  // Future: 5G NR (v1.2)
  {
    value: 3500,
    name: 'Band 42/43 (n78)',
    range: '3400-3800 MHz',
    type: '5G',
    characteristics: {
      range: 'short',
      penetration: 'poor',
      typical: '5G NR, high bandwidth'
    }
  }
];

export function getFrequencyInfo(frequency: number): FrequencyBand | null {
  // Find closest match
  return COMMON_FREQUENCIES.find(band => 
    Math.abs(band.value - frequency) < 50
  ) || null;
}

export function getWavelength(frequencyMHz: number): string {
  const wavelengthMeters = 300 / frequencyMHz;
  if (wavelengthMeters >= 1) {
    return `${wavelengthMeters.toFixed(2)} m`;
  } else {
    return `${(wavelengthMeters * 100).toFixed(1)} cm`;
  }
}

RF Propagation Models

Free Space Path Loss (FSPL) - Universal

/**
 * Calculate Free Space Path Loss
 * Works with ANY frequency (LTE, UHF, VHF, 5G)
 * 
 * @param distanceKm - Distance in kilometers
 * @param frequencyMHz - Frequency in megahertz
 * @returns Path loss in dB
 */
export function calculateFSPL(distanceKm: number, frequencyMHz: number): number {
  if (distanceKm <= 0) return 0;
  
  // FSPL(dB) = 20×log₁₀(d) + 20×log₁₀(f) + 32.45
  // This formula is universal for all RF frequencies
  return 20 * Math.log10(distanceKm) 
       + 20 * Math.log10(frequencyMHz) 
       + 32.45;
}

/**
 * Calculate RSRP at receiver location
 * Universal calculator - works with any user-provided parameters
 * 
 * @param site - Transmitter site configuration (user inputs)
 * @param rxLat - Receiver latitude
 * @param rxLon - Receiver longitude
 * @param terrainLoss - Additional terrain loss in dB
 * @returns RSRP in dBm
 */
export function calculateRSRP(
  site: Site,
  rxLat: number,
  rxLon: number,
  terrainLoss: number = 0
): number {
  const distanceKm = haversineDistance(
    site.lat, site.lon,
    rxLat, rxLon
  );
  
  // Free space path loss (universal formula)
  const fspl = calculateFSPL(distanceKm, site.frequency);
  
  // Link budget calculation
  // RSRP = P_tx + G_tx - FSPL - TerrainLoss - SectorLoss
  let rsrp = site.power + site.gain - fspl - terrainLoss;
  
  // Apply antenna pattern loss (for sector antennas)
  if (site.antennaType === 'sector' && site.azimuth !== undefined) {
    const bearing = calculateBearing(site.lat, site.lon, rxLat, rxLon);
    const relativeAngle = Math.abs(bearing - site.azimuth);
    const normalizedAngle = relativeAngle > 180 ? 360 - relativeAngle : relativeAngle;
    
    const patternLoss = calculateSectorPatternLoss(
      normalizedAngle, 
      site.beamwidth || 65
    );
    rsrp -= patternLoss;
  }
  
  return rsrp;
}

Terrain Loss Model (Enhanced for 30m SRTM)

/**
 * Calculate additional path loss due to terrain
 * Uses 30m resolution SRTM data for accurate results
 * Implements simplified knife-edge diffraction
 */
export function calculateTerrainLoss(
  txLat: number, 
  txLon: number, 
  txHeight: number,
  rxLat: number, 
  rxLon: number, 
  rxHeight: number = 1.5,
  terrain: TerrainManager
): number {
  // Get elevations from 30m SRTM data
  const txElevation = terrain.getElevation(txLat, txLon);
  const rxElevation = terrain.getElevation(rxLat, rxLon);
  const distance = haversineDistance(txLat, txLon, rxLat, rxLon);
  
  // Effective antenna heights above sea level
  const h1 = txHeight + txElevation;
  const h2 = rxHeight + rxElevation;
  
  // Sample terrain profile (5 points between TX and RX)
  const profilePoints = 5;
  let maxObstruction = 0;
  
  for (let i = 1; i < profilePoints; i++) {
    const ratio = i / profilePoints;
    const midLat = txLat + (rxLat - txLat) * ratio;
    const midLon = txLon + (rxLon - txLon) * ratio;
    const midElevation = terrain.getElevation(midLat, midLon);
    
    // Line-of-sight height at this point
    const losHeight = h1 + (h2 - h1) * ratio;
    
    // Obstruction height
    const obstruction = midElevation - losHeight;
    if (obstruction > maxObstruction) {
      maxObstruction = obstruction;
    }
  }
  
  if (maxObstruction > 0) {
    // Knife-edge diffraction loss (simplified)
    // More accurate with 30m resolution
    const v = maxObstruction * Math.sqrt(2 * distance / 0.3); // wavelength ~0.3m for 1GHz
    const diffraction = 6.9 + 20 * Math.log10(Math.sqrt((v - 0.1) * (v - 0.1) + 1) + v - 0.1);
    return Math.min(diffraction, 40); // Cap at 40 dB
  }
  
  return 0; // Clear line-of-sight
}

Sector Antenna Pattern

/**
 * Calculate antenna pattern loss for sector antennas
 * Based on 3GPP antenna models
 * 
 * @param angleOffBoresight - Angle from antenna boresight in degrees (0-180)
 * @param beamwidth - 3dB beamwidth in degrees
 * @returns Pattern loss in dB
 */
export function calculateSectorPatternLoss(
  angleOffBoresight: number,
  beamwidth: number = 65
): number {
  // 3GPP antenna pattern model
  const theta3dB = beamwidth / 2;
  const sideLobeLevel = 20; // dB
  
  // Main lobe
  if (angleOffBoresight <= theta3dB) {
    return 12 * Math.pow(angleOffBoresight / theta3dB, 2);
  }
  
  // Side/back lobes
  return Math.min(
    12 * Math.pow(angleOffBoresight / theta3dB, 2),
    sideLobeLevel
  );
}

Signal Quality Thresholds

// constants/rsrp-thresholds.ts
export const RSRP_THRESHOLDS = {
  EXCELLENT: -70,   // > -70 dBm (very strong)
  GOOD: -85,        // -70 to -85 dBm (strong)
  FAIR: -100,       // -85 to -100 dBm (acceptable)
  POOR: -110,       // -100 to -110 dBm (marginal)
  WEAK: -120,       // -110 to -120 dBm (very weak)
  NO_SERVICE: -120  // < -120 dBm (no service)
} as const;

export function getSignalQuality(rsrp: number): string {
  if (rsrp >= RSRP_THRESHOLDS.EXCELLENT) return 'excellent';
  if (rsrp >= RSRP_THRESHOLDS.GOOD) return 'good';
  if (rsrp >= RSRP_THRESHOLDS.FAIR) return 'fair';
  if (rsrp >= RSRP_THRESHOLDS.POOR) return 'poor';
  if (rsrp >= RSRP_THRESHOLDS.WEAK) return 'weak';
  return 'no-service';
}

export const SIGNAL_COLORS = {
  excellent: '#22c55e',   // green-600
  good: '#84cc16',        // lime-500
  fair: '#eab308',        // yellow-500
  poor: '#f97316',        // orange-500
  weak: '#ef4444',        // red-500
} as const;

export function getRSRPColor(rsrp: number): string {
  return SIGNAL_COLORS[getSignalQuality(rsrp)];
}

User Interface Design

Main Application Layout

┌─────────────────────────────────────────────────────────┐
│  RFCP - RF Coverage Planner         🌐 UA  👤 Олег  ⚙️  │
├─────────────────────────────────────────────────────────┤
│                                                         │
│  ┌───────────────────────────────────────────────────┐ │
│  │                                                   │ │
│  │                                                   │ │
│  │              🗺️ Interactive Map                  │ │
│  │               (Leaflet + OSM)                    │ │
│  │                                                   │ │
│  │         Click to place base station              │ │
│  │                                                   │ │
│  │  [Heatmap overlay when calculated]               │ │
│  │                                                   │ │
│  │                                                   │ │
│  └───────────────────────────────────────────────────┘ │
│                                                         │
│  📍 Sites (3)                                    [+ Add]│
│  ┌───────────────────────────────────────────────────┐ │
│  │ 🔴 Station-1   1800 MHz  43 dBm       [Edit] [×] │ │
│  │ 🔵 Station-2   2600 MHz  30 dBm       [Edit] [×] │ │
│  │ 🟢 Station-3    800 MHz  46 dBm       [Edit] [×] │ │
│  └───────────────────────────────────────────────────┘ │
│                                                         │
│  [🧮 Розрахувати покриття]  [📥 Завантажити terrain]   │
│                                                         │
└─────────────────────────────────────────────────────────┘

Site Configuration Panel (Manual Input)

┌─────────────────────────────────────────────────────┐
│  📡 Конфігурація базової станції                    │
├─────────────────────────────────────────────────────┤
│                                                     │
│  📍 Назва станції                                   │
│  [Station-1                                      ]  │
│                                                     │
│  📍 Координати                                      │
│  Lat: [48.4647] Lon: [35.0462]  [📍 Змінити]       │
│                                                     │
│  ━━━━━━━━━━━━ Радіопараметри ━━━━━━━━━━━━          │
│                                                     │
│  ⚡ Потужність передавача (dBm)                     │
│  [════════●═══════════════════════]  43            │
│  10                                            50   │
│  💡 Типові: LimeSDR 20, BBU 43, RRU 46             │
│                                                     │
│  📶 Коефіцієнт підсилення антени (dBi)             │
│  [══════●═════════════════════════]  8             │
│  0                                             25   │
│  💡 Omni 2-8, Sector 15-18, Parabolic 20-25        │
│                                                     │
│  📻 Робоча частота                                  │
│  ┌─────────────────────────────────────────────┐   │
│  │ [800] [1800] [1900] [2600]        або:      │   │
│  │ [1800] MHz                                  │   │
│  │ ℹ️ Band 3 (1710-1880 MHz)                   │   │
│  │ λ = 16.7 cm • Medium range • Good penetr.  │   │
│  └─────────────────────────────────────────────┘   │
│                                                     │
│  ━━━━━━━━━━━ Фізичні параметри ━━━━━━━━━━━         │
│                                                     │
│  📏 Висота підвісу антени (метрів)                  │
│  [══════════●═════════════════════]  30            │
│  1                                            100   │
│  💡 Висота від землі до центру антени              │
│                                                     │
│  📡 Тип антени                                      │
│  ◉ Всенаправлена (Omni)                            │
│  ○ Секторна (Sector)                               │
│                                                     │
│  ┌─ [Sector parameters (collapsed)] ────────────┐  │
│  │  📐 Азимут (градуси)           [0]           │  │
│  │  📊 Ширина променя (градуси)   [65]          │  │
│  └───────────────────────────────────────────────┘  │
│                                                     │
│  ━━━━━━━━━━━━━ Примітки ━━━━━━━━━━━━━━            │
│                                                     │
│  📝 Обладнання / Примітки (необов'язково)          │
│  [ZTE B8200 BBU + custom omni antenna          ]  │
│  [Test deployment, field validation needed     ]  │
│                                                     │
│  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━            │
│                                                     │
│  💾 Quick Templates (optional)                      │
│  [🚀 LimeSDR]  [📡 Low BBU]  [📡 High BBU]        │
│                                                     │
│  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━            │
│                                                     │
│  [💾 Зберегти зміни]  [🗑️ Видалити станцію]       │
│                                                     │
└─────────────────────────────────────────────────────┘

Key UI Principles:

✅ Sliders with values - визуальний feedback + точний контроль
✅ Helpful hints - типові значення під полями
✅ Contextual info - band info, wavelength automatically shown
✅ Progressive disclosure - sector params hidden if omni selected
✅ Optional templates - швидкий старт, але не обов'язково
✅ Free-text notes - користувач описує свій setup

Terrain Data Management (30m SRTM)

Ukraine Terrain Regions (Updated for 30m)

// terrain/regions.ts
export const UKRAINE_REGIONS = {
  'ukraine-west': {
    name: 'Західна Україна',
    nameEn: 'Western Ukraine',
    bounds: {
      north: 52.5,
      south: 47.9,
      west: 22.1,
      east: 27.0
    },
    resolution: 30,          // meters (1 arc-second)
    size: '~400MB',          // compressed
    includes: ['Львів', 'Івано-Франківськ', 'Чернівці', 'Тернопіль', 'Луцьк']
  },
  'ukraine-center': {
    name: 'Центральна Україна',
    nameEn: 'Central Ukraine',
    bounds: {
      north: 52.5,
      south: 48.0,
      west: 27.0,
      east: 32.0
    },
    resolution: 30,
    size: '~400MB',
    includes: ['Київ', 'Вінниця', 'Житомир', 'Черкаси', 'Полтава']
  },
  'ukraine-east': {
    name: 'Східна Україна',
    nameEn: 'Eastern Ukraine',
    bounds: {
      north: 50.5,
      south: 47.0,
      west: 32.0,
      east: 40.3
    },
    resolution: 30,
    size: '~400MB',
    includes: ['Харків', 'Донецьк', 'Луганськ', 'Дніпро', 'Кривий Ріг']
  },
  'ukraine-south': {
    name: 'Південна Україна',
    nameEn: 'Southern Ukraine',
    bounds: {
      north: 48.0,
      south: 44.4,
      west: 27.0,
      east: 38.0
    },
    resolution: 30,
    size: '~400MB',
    includes: ['Одеса', 'Миколаїв', 'Херсон', 'Запоріжжя', 'Мелітополь']
  },
  'ukraine-north': {
    name: 'Північна Україна',
    nameEn: 'Northern Ukraine',
    bounds: {
      north: 52.4,
      south: 50.4,
      west: 27.0,
      east: 35.0
    },
    resolution: 30,
    size: '~300MB',
    includes: ['Чернігів', 'Суми', 'Рівне', 'Жмеринка']
  }
} as const;

export type UkraineRegion = keyof typeof UKRAINE_REGIONS;

/**
 * Determine which region contains the given coordinates
 */
export function latLonToRegion(lat: number, lon: number): UkraineRegion | null {
  for (const [region, data] of Object.entries(UKRAINE_REGIONS)) {
    const { north, south, west, east } = data.bounds;
    if (lat >= south && lat <= north && lon >= west && lon <= east) {
      return region as UkraineRegion;
    }
  }
  return null;
}

/**
 * Get total size for typical 2-3 region deployment
 */
export function getTypicalDeploymentSize(): string {
  // Most users will download 2-3 regions
  // ukraine-east (400MB) + ukraine-south (400MB) + ukraine-center (400MB)
  return '~800MB - 1.2GB for 2-3 regions';
}

Enhanced Terrain Manager (30m resolution)

// terrain/manager.ts
export class TerrainManager {
  private cache = new Map<string, TerrainTile>();
  private downloading = new Map<string, Promise<TerrainTile>>();
  
  constructor(private db: RFCPDatabase) {}
  
  /**
   * Get elevation at specific coordinates
   * Uses 30m SRTM data with bilinear interpolation
   * Auto-downloads terrain if needed and online
   */
  async getElevation(lat: number, lon: number): Promise<number> {
    const region = latLonToRegion(lat, lon);
    
    if (!region) {
      console.warn('Coordinates outside Ukraine bounds');
      return 0;
    }
    
    // Check memory cache
    if (this.cache.has(region)) {
      return this.interpolateElevation(this.cache.get(region)!, lat, lon);
    }
    
    // Check IndexedDB cache
    const cached = await this.db.terrain.get(region);
    if (cached) {
      const tile = this.deserializeTile(cached);
      this.cache.set(region, tile);
      return this.interpolateElevation(tile, lat, lon);
    }
    
    // Download if online
    if (navigator.onLine) {
      console.log(`Auto-downloading terrain for ${region}`);
      await this.downloadRegion(region);
      return this.getElevation(lat, lon); // Recursive call after download
    }
    
    console.warn(`Terrain data for ${region} not available offline`);
    return 0;
  }
  
  /**
   * Download 30m SRTM terrain data for region
   * ~400MB per region
   */
  async downloadRegion(region: UkraineRegion): Promise<void> {
    // Prevent duplicate downloads
    if (this.downloading.has(region)) {
      await this.downloading.get(region);
      return;
    }
    
    const promise = this._downloadRegion(region);
    this.downloading.set(region, promise);
    
    try {
      await promise;
    } finally {
      this.downloading.delete(region);
    }
  }
  
  private async _downloadRegion(region: UkraineRegion): Promise<TerrainTile> {
    const regionData = UKRAINE_REGIONS[region];
    console.log(`Downloading 30m terrain: ${regionData.name} (~${regionData.size})`);
    
    const startTime = Date.now();
    
    const response = await fetch(`/api/terrain/${region}`);
    if (!response.ok) {
      throw new Error(`Failed to download terrain: ${response.statusText}`);
    }
    
    const buffer = await response.arrayBuffer();
    const tile = this.parseSRTM30m(buffer, region);
    
    const downloadTime = Date.now() - startTime;
    console.log(
      `Terrain downloaded: ${regionData.name} ` +
      `(${(buffer.byteLength / 1024 / 1024).toFixed(1)} MB in ${(downloadTime / 1000).toFixed(1)}s)`
    );
    
    // Save to IndexedDB
    await this.db.terrain.put({
      region,
      bounds: regionData.bounds,
      resolution: 30,
      data: buffer,
      width: tile.width,
      height: tile.height,
      downloadedAt: Date.now(),
      sizeBytes: buffer.byteLength
    });
    
    // Cache in memory
    this.cache.set(region, tile);
    
    return tile;
  }
  
  /**
   * Parse 30m SRTM binary data (1 arc-second)
   */
  private parseSRTM30m(buffer: ArrayBuffer, region: UkraineRegion): TerrainTile {
    const bounds = UKRAINE_REGIONS[region].bounds;
    const resolution = 1; // 1 arc-second (~30m)
    
    // Calculate tile dimensions
    // 1 degree = 3600 arc-seconds
    // With 1 arc-second resolution, we get 3600 pixels per degree
    const width = Math.ceil((bounds.east - bounds.west) * 3600 / resolution);
    const height = Math.ceil((bounds.north - bounds.south) * 3600 / resolution);
    
    // Parse as 16-bit signed integers (big-endian)
    // SRTM format: 2 bytes per sample
    const data = new Int16Array(buffer);
    
    // Handle byte order (SRTM is big-endian)
    if (!this.isBigEndian()) {
      for (let i = 0; i < data.length; i++) {
        data[i] = ((data[i] & 0xFF) << 8) | ((data[i] >> 8) & 0xFF);
      }
    }
    
    return {
      region,
      bounds,
      resolution: 30, // meters
      data,
      width,
      height,
      downloadedAt: Date.now(),
      sizeBytes: buffer.byteLength
    };
  }
  
  /**
   * Bilinear interpolation for smooth elevation lookup
   * Essential for 30m data to get accurate intermediate values
   */
  private interpolateElevation(
    tile: TerrainTile,
    lat: number,
    lon: number
  ): number {
    const { bounds, width, height, data } = tile;
    
    // Convert lat/lon to pixel coordinates
    const x = ((lon - bounds.west) / (bounds.east - bounds.west)) * (width - 1);
    const y = ((bounds.north - lat) / (bounds.north - bounds.south)) * (height - 1);
    
    // Get surrounding pixel indices
    const x0 = Math.floor(x);
    const x1 = Math.min(x0 + 1, width - 1);
    const y0 = Math.floor(y);
    const y1 = Math.min(y0 + 1, height - 1);
    
    // Interpolation weights
    const dx = x - x0;
    const dy = y - y0;
    
    // Get elevation at 4 corners
    const e00 = data[y0 * width + x0];
    const e10 = data[y0 * width + x1];
    const e01 = data[y1 * width + x0];
    const e11 = data[y1 * width + x1];
    
    // Handle void data (SRTM uses -32768 for no data)
    if (e00 === -32768 || e10 === -32768 || e01 === -32768 || e11 === -32768) {
      return 0; // Default to sea level for void areas
    }
    
    // Bilinear interpolation
    const e0 = e00 * (1 - dx) + e10 * dx;
    const e1 = e01 * (1 - dx) + e11 * dx;
    
    return e0 * (1 - dy) + e1 * dy;
  }
  
  /**
   * Get terrain profile between two points
   * Useful for line-of-sight analysis
   */
  async getTerrainProfile(
    lat1: number, lon1: number,
    lat2: number, lon2: number,
    numSamples: number = 50
  ): Promise<number[]> {
    const profile: number[] = [];
    
    for (let i = 0; i <= numSamples; i++) {
      const ratio = i / numSamples;
      const lat = lat1 + (lat2 - lat1) * ratio;
      const lon = lon1 + (lon2 - lon1) * ratio;
      const elevation = await this.getElevation(lat, lon);
      profile.push(elevation);
    }
    
    return profile;
  }
  
  /**
   * Get download status for all regions
   */
  async getDownloadStatus(): Promise<Record<UkraineRegion, boolean>> {
    const status: any = {};
    
    for (const region of Object.keys(UKRAINE_REGIONS) as UkraineRegion[]) {
      const cached = await this.db.terrain.get(region);
      status[region] = !!cached;
    }
    
    return status;
  }
  
  /**
   * Get total storage used by terrain data
   */
  async getStorageUsed(): Promise<number> {
    const tiles = await this.db.terrain.toArray();
    return tiles.reduce((sum, tile) => sum + tile.sizeBytes, 0);
  }
  
  /**
   * Clear terrain cache (free up space)
   */
  async clearCache(region?: UkraineRegion): Promise<void> {
    if (region) {
      await this.db.terrain.delete(region);
      this.cache.delete(region);
    } else {
      await this.db.terrain.clear();
      this.cache.clear();
    }
  }
  
  private isBigEndian(): boolean {
    const buffer = new ArrayBuffer(2);
    new DataView(buffer).setInt16(0, 256, true);
    return new Int16Array(buffer)[0] !== 256;
  }
}

RF Calculation Engine (Universal)

Core Calculator Class

// rf/calculator.ts
export class RFCalculator {
  private terrain: TerrainManager;
  
  constructor(terrain: TerrainManager) {
    this.terrain = terrain;
  }
  
  /**
   * Calculate coverage for multiple sites
   * Works with any user-provided parameters (LTE, UHF, VHF, etc.)
   * Uses Web Workers for parallel processing
   */
  async calculateCoverage(
    sites: Site[],
    bounds: LatLngBounds,
    settings: CoverageSettings
  ): Promise<CoverageResult> {
    const startTime = performance.now();
    
    // Generate grid of points to calculate
    const gridPoints = this.generateGrid(bounds, settings.resolution);
    
    console.log(
      `Calculating coverage for ${sites.length} sites, ` +
      `${gridPoints.length} points (${settings.resolution}m resolution)`
    );
    
    // Split work across multiple workers (4 parallel threads)
    const numWorkers = Math.min(4, navigator.hardwareConcurrency || 4);
    const workers = this.createWorkers(numWorkers);
    const chunks = this.chunkArray(gridPoints, numWorkers);
    
    // Calculate coverage in parallel
    const results = await Promise.all(
      chunks.map((chunk, i) => 
        this.calculateChunk(
          workers[i], 
          sites, 
          chunk, 
          settings.rsrpThreshold
        )
      )
    );
    
    // Merge results from all workers
    const allPoints = results.flat();
    
    // Cleanup workers
    workers.forEach(w => w.terminate());
    
    const calculationTime = performance.now() - startTime;
    
    console.log(
      `Coverage calculated: ${allPoints.length} points in ` +
      `${(calculationTime / 1000).toFixed(2)}s`
    );
    
    return {
      points: allPoints,
      calculationTime,
      totalPoints: allPoints.length,
      bounds,
      settings
    };
  }
  
  /**
   * Generate grid of lat/lon points
   */
  private generateGrid(
    bounds: LatLngBounds,
    resolution: number // meters
  ): GridPoint[] {
    const points: GridPoint[] = [];
    
    // Convert resolution to degrees (approximate)
    const latStep = resolution / 111000; // ~111km per degree latitude
    const center = bounds.getCenter();
    const lonStep = resolution / (111000 * Math.cos(center.lat * Math.PI / 180));
    
    let lat = bounds.getSouth();
    while (lat <= bounds.getNorth()) {
      let lon = bounds.getWest();
      while (lon <= bounds.getEast()) {
        points.push({ lat, lon });
        lon += lonStep;
      }
      lat += latStep;
    }
    
    return points;
  }
  
  /**
   * Create Web Workers for parallel calculation
   */
  private createWorkers(count: number): Worker[] {
    const workers: Worker[] = [];
    for (let i = 0; i < count; i++) {
      workers.push(new Worker('/workers/rf-worker.js'));
    }
    return workers;
  }
  
  /**
   * Split array into chunks for parallel processing
   */
  private chunkArray<T>(array: T[], numChunks: number): T[][] {
    const chunks: T[][] = [];
    const chunkSize = Math.ceil(array.length / numChunks);
    
    for (let i = 0; i < array.length; i += chunkSize) {
      chunks.push(array.slice(i, i + chunkSize));
    }
    
    return chunks;
  }
  
  /**
   * Calculate coverage for a chunk of points (worker task)
   */
  private async calculateChunk(
    worker: Worker,
    sites: Site[],
    points: GridPoint[],
    rsrpThreshold: number
  ): Promise<CoveragePoint[]> {
    return new Promise((resolve, reject) => {
      const timeout = setTimeout(() => {
        reject(new Error('Worker timeout'));
      }, 30000); // 30 second timeout
      
      worker.postMessage({
        type: 'calculate',
        sites,
        points,
        rsrpThreshold
      });
      
      worker.onmessage = (e) => {
        clearTimeout(timeout);
        if (e.data.type === 'complete') {
          resolve(e.data.results);
        } else if (e.data.type === 'error') {
          reject(new Error(e.data.message));
        }
      };
      
      worker.onerror = (err) => {
        clearTimeout(timeout);
        reject(err);
      };
    });
  }
}

Web Worker Implementation

// workers/rf-worker.ts
// This runs in a separate thread for parallel processing

self.onmessage = async (e) => {
  const { type, sites, points, rsrpThreshold } = e.data;
  
  if (type === 'calculate') {
    try {
      const results: CoveragePoint[] = [];
      
      // Process each point in this chunk
      for (const point of points) {
        let bestRSRP = -Infinity;
        let bestSiteId = '';
        
        // Find best serving site for this point
        for (const site of sites) {
          const rsrp = calculatePointRSRP(site, point);
          
          if (rsrp > bestRSRP) {
            bestRSRP = rsrp;
            bestSiteId = site.id;
          }
        }
        
        // Only include points above threshold
        if (bestRSRP >= rsrpThreshold) {
          results.push({
            lat: point.lat,
            lon: point.lon,
            rsrp: bestRSRP,
            siteId: bestSiteId
          });
        }
      }
      
      self.postMessage({ type: 'complete', results });
    } catch (error) {
      self.postMessage({ 
        type: 'error', 
        message: error.message 
      });
    }
  }
};

/**
 * Calculate RSRP at a specific point
 * Universal formula - works with any frequency
 */
function calculatePointRSRP(site: any, point: any): number {
  const distance = haversineDistance(
    site.lat, site.lon,
    point.lat, point.lon
  );
  
  // Free space path loss (universal)
  const fspl = 20 * Math.log10(distance) 
             + 20 * Math.log10(site.frequency)
             + 32.45;
  
  // Link budget
  let rsrp = site.power + site.gain - fspl;
  
  // TODO: Add terrain loss (requires terrain data in worker)
  // For MVP, terrain loss will be added in Phase 4
  
  // Apply sector antenna pattern
  if (site.antennaType === 'sector' && site.azimuth !== undefined) {
    const bearing = calculateBearing(
      site.lat, site.lon,
      point.lat, point.lon
    );
    const relativeAngle = Math.abs(bearing - site.azimuth);
    const normalizedAngle = relativeAngle > 180 ? 360 - relativeAngle : relativeAngle;
    
    const patternLoss = calculateSectorPatternLoss(
      normalizedAngle,
      site.beamwidth || 65
    );
    rsrp -= patternLoss;
  }
  
  return rsrp;
}

/**
 * Haversine distance formula
 */
function haversineDistance(
  lat1: number, lon1: number,
  lat2: number, lon2: number
): number {
  const R = 6371; // Earth radius in km
  const dLat = (lat2 - lat1) * Math.PI / 180;
  const dLon = (lon2 - lon1) * Math.PI / 180;
  
  const a = Math.sin(dLat/2) * Math.sin(dLat/2) +
            Math.cos(lat1 * Math.PI / 180) * 
            Math.cos(lat2 * Math.PI / 180) *
            Math.sin(dLon/2) * Math.sin(dLon/2);
  
  const c = 2 * Math.atan2(Math.sqrt(a), Math.sqrt(1-a));
  return R * c;
}

/**
 * Calculate bearing from point A to point B
 */
function calculateBearing(
  lat1: number, lon1: number,
  lat2: number, lon2: number
): number {
  const dLon = (lon2 - lon1) * Math.PI / 180;
  const y = Math.sin(dLon) * Math.cos(lat2 * Math.PI / 180);
  const x = Math.cos(lat1 * Math.PI / 180) * Math.sin(lat2 * Math.PI / 180) -
            Math.sin(lat1 * Math.PI / 180) * Math.cos(lat2 * Math.PI / 180) * Math.cos(dLon);
  const bearing = Math.atan2(y, x) * 180 / Math.PI;
  return (bearing + 360) % 360;
}

/**
 * Sector antenna pattern loss
 */
function calculateSectorPatternLoss(
  angleOffBoresight: number,
  beamwidth: number
): number {
  const theta3dB = beamwidth / 2;
  const sideLobeLevel = 20;
  
  if (angleOffBoresight <= theta3dB) {
    return 12 * Math.pow(angleOffBoresight / theta3dB, 2);
  }
  
  return Math.min(
    12 * Math.pow(angleOffBoresight / theta3dB, 2),
    sideLobeLevel
  );
}

Development Roadmap

Phase 1: Core UI & Manual Input (Days 1-2)

Goal: Working PWA with map and flexible input UI

Tasks:

Initialize React + TypeScript + Vite project
Configure Tailwind CSS
Setup Workbox for Service Worker
Create PWA manifest.json
Implement IndexedDB schema (Dexie)
Setup Leaflet map component
Add OpenStreetMap tile layer
Implement click-to-place site marker
Create manual input form with:
- Power slider (10-50 dBm)
- Gain slider (0-25 dBi)
- Dynamic frequency input (quick buttons + custom)
- Height slider (1-100m)
- Antenna type selector (omni/sector)
- Sector parameters (azimuth, beamwidth)
- Free-text notes field
Implement frequency band info display
Add wavelength calculator
Create optional quick templates
Setup Zustand state management
Add site list panel (view/edit/delete)

Deliverables:

✅ Working PWA that can be installed
✅ Map with OSM tiles (cached offline)
✅ Can place multiple site markers
✅ Fully flexible manual input form
✅ Contextual frequency information

Testing:

npm run dev
# Open http://localhost:5173
# Click on map → marker appears
# Configure site parameters manually
# Add multiple sites
# Verify all inputs work

Phase 2: RF Calculation Engine (Days 3-4)

Goal: Working RF calculations in browser (universal)

Tasks:

Implement universal FSPL calculator
Create haversine distance function
Implement bearing calculator
Create grid generator
Implement sector antenna pattern calculator
Create Web Worker template
Implement RFCalculator class
Add multi-site coverage aggregation
Create signal quality color mapping
Add calculation progress indicator
Unit tests for RF functions
Performance optimization (target < 3s for 3 sites)

Deliverables:

✅ Can calculate coverage for single site (any frequency)
✅ Can calculate composite coverage (multiple sites)
✅ Calculations run in Web Workers (non-blocking UI)
✅ Results ready for visualization
✅ Works with user's custom parameters

Testing:

// Test universal FSPL
const fspl1800 = calculateFSPL(1.0, 1800);
const fspl150 = calculateFSPL(1.0, 150); // VHF
console.assert(fspl150 < fspl1800, 'Lower freq = less path loss');

// Test coverage calculation
const calculator = new RFCalculator(terrain);
const result = await calculator.calculateCoverage(
  [customSite], // User's parameters
  bounds,
  { radius: 5, resolution: 100, rsrpThreshold: -120 }
);
console.log(`Calculated ${result.points.length} points`);

Phase 3: Heatmap Visualization (Days 5-6)

Goal: Beautiful coverage heatmap on map

Tasks:

Integrate Leaflet.heat plugin
Convert coverage points to heatmap format
Implement color gradient mapping (RSRP → color)
Add heatmap layer to map
Create legend component with RSRP ranges
Add toggle heatmap visibility
Implement zoom-dependent detail levels
Add loading spinner during calculation
Optimize rendering for 5000+ points
Add "Download as PNG" feature

Deliverables:

✅ Colorful heatmap overlay on map
✅ Legend showing RSRP ranges and colors
✅ Smooth performance with large datasets
✅ Toggle to show/hide heatmap
✅ Visual feedback during calculation

Testing:

// Visual test
// 1. Place site with power=43 dBm, freq=1800 MHz
// 2. Calculate coverage
// 3. Should see green circle near site (~2km radius)
// 4. Yellow/orange further away (~3-5km)
// 5. Red at edges (~5-7km)
// 6. Toggle heatmap on/off smoothly
// 7. Performance: rendering < 2s for 3 sites

Phase 4: Terrain Integration (Days 7-9)

Goal: Real 30m terrain data in calculations

Tasks:

Implement enhanced TerrainManager class
Create 30m SRTM parser (1 arc-second)
Add byte-order handling (big-endian)
Implement bilinear interpolation
Add region detection (lat/lon → region)
Implement terrain loss calculation
Add terrain profile generation
Create terrain download UI
Implement auto-download on map pan
Add download progress indicator (with size display)
Store terrain in IndexedDB
Handle offline terrain access
Add storage management UI
Test with real Ukraine terrain

Deliverables:

✅ Can download 30m terrain regions (~400MB each)
✅ Terrain data persists offline
✅ Elevation lookup works with bilinear interpolation
✅ Coverage calculations consider terrain (more accurate)
✅ Storage management (view usage, clear cache)

Testing:

// Download terrain
const terrain = new TerrainManager(db);
await terrain.downloadRegion('ukraine-east'); // ~400MB, 30-60s

// Check elevation accuracy
const dnipro = await terrain.getElevation(48.4647, 35.0462);
console.log(`Dnipro elevation: ${dnipro}m`); // Should be ~50-70m

// Check storage
const used = await terrain.getStorageUsed();
console.log(`Storage used: ${(used / 1024 / 1024).toFixed(0)} MB`);

// Test offline
// Go offline
// Pan to Dnipro
// Should still get elevation data from IndexedDB

Phase 5: Multi-Site & UX Polish (Days 10-11)

Goal: Production-ready MVP

Tasks:

Support multiple sites on map (tested with 5+ sites)
Add site list panel with thumbnails
Implement site color coding
Add calculation settings panel (radius, resolution)
Implement site drag-to-reposition
Add keyboard shortcuts (Delete, Esc, etc.)
Create user guide overlay (first-time experience)
Mobile responsive design
Touch gestures for mobile (pinch-zoom, pan)
Add error handling & toast notifications
Implement undo/redo for site changes
Add project save/load functionality
Export coverage as PNG/GeoJSON
Performance optimization
Internationalization (Ukrainian/English)

Deliverables:

✅ Can manage 5+ sites easily
✅ Intuitive UI, works on mobile/tablet
✅ Polished user experience
✅ Helpful onboarding
✅ Bilingual support

Phase 6: Backend & Auth (Days 12-13)

Goal: Optional cloud sync

Tasks:

Create FastAPI backend project
Implement terrain CDN endpoints
Setup 30m SRTM data preprocessing
Add MAS OAuth integration
Create config sync API
Implement JWT auth middleware
Setup SQLite for config storage
Create docker-compose.yml
Configure Caddy reverse proxy
Add background sync in Service Worker
Test multi-device sync

Deliverables:

✅ Backend API running
✅ Can login with MAS
✅ Configs sync across devices
✅ Terrain downloads work via CDN

Phase 7: Deployment (Days 14-15)

Goal: Live at rfcp.eliah.one

Tasks:

Setup domain DNS (rfcp.eliah.one)
Deploy backend to VPS-A
Deploy frontend with Caddy
Configure SSL/TLS
Upload 30m SRTM terrain data
Test from external network
Test on mobile devices (iOS/Android)
Create offline installer ZIP
Write user documentation
Setup monitoring (Uptime Kuma)
Create backup procedures
Performance testing
Security audit

Deliverables:

✅ Live at https://rfcp.eliah.one
✅ Works on desktop/mobile/tablet
✅ Offline installer available (~200MB base + terrain)
✅ Documentation complete (Ukrainian/English)
✅ Monitoring active

Post-MVP Roadmap

v1.1 - UHF/VHF Support (Week 4-5) 🎯

Goal: Add tactical radio frequency planning

New Features:

VHF frequencies (30-300 MHz)
- VHF Low (30-50 MHz) - long range
- VHF High (136-174 MHz) - tactical radio
- FM broadcast (88-108 MHz)
UHF frequencies (300-3000 MHz)
- UHF (400-470 MHz) - military tactical
- PMR446 (446 MHz) - personal radio
- Amateur radio bands
Enhanced propagation models:
- Longley-Rice (VHF/UHF specific)
- ITU-R P.1546 (broadcasting)
Frequency-specific characteristics:
- Ground wave propagation (VHF low)
- Ionospheric reflection (HF)
- Tropospheric scatter
New UI elements:
- "Radio Type" selector (LTE/VHF/UHF/Amateur)
- Band-specific presets
- Propagation mode selector

Technical Implementation:

// Extended frequency support
export const RADIO_TYPES = {
  'lte': {
    name: 'LTE (4G)',
    freqRange: [700, 2700],
    propagationModel: 'FSPL + terrain'
  },
  'vhf': {
    name: 'VHF Radio',
    freqRange: [30, 300],
    propagationModel: 'Longley-Rice'
  },
  'uhf': {
    name: 'UHF Radio',
    freqRange: [300, 3000],
    propagationModel: 'Longley-Rice'
  },
  'amateur': {
    name: 'Amateur Radio',
    freqRange: [1.8, 30000], // HF to SHF
    propagationModel: 'Mixed'
  }
};

Use Cases:

✅ Planning tactical radio networks (VHF 150 MHz)
✅ UHF repeater placement (450 MHz)
✅ Amateur radio link planning
✅ Emergency services coordination

v1.2 - Advanced Features (Week 6-7)

Features:

Okumura-Hata propagation model (urban areas)
COST 231 extension (dense urban)
3D sector antenna visualization
Interference calculation between sites
Best server boundary display
Handover zone visualization
Link budget calculator
Export to KML/KMZ (Google Earth)
PDF report generation
CSV import/export
Real RF measurements overlay

v2.0 - Advanced Platform (Month 3+)

Features:

3D terrain visualization (Three.js)
Drive test integration
Network optimization algorithms
Machine learning coverage prediction
Multi-technology support (5G NR)
Collaborative planning (WebRTC)
Cost estimation
Weather effects modeling
Real-time spectrum monitoring

File Structure

rfcp/
├── .github/
│   └── workflows/
│       └── deploy.yml
│
├── frontend/
│   ├── public/
│   │   ├── icons/                  # PWA icons
│   │   ├── workers/
│   │   │   └── rf-worker.js        # RF calculation worker
│   │   ├── manifest.json           # PWA manifest
│   │   ├── offline.html            # Offline fallback
│   │   └── robots.txt
│   │
│   ├── src/
│   │   ├── components/
│   │   │   ├── map/
│   │   │   │   ├── Map.tsx         # Main map component
│   │   │   │   ├── SiteMarker.tsx  # Site marker
│   │   │   │   ├── Heatmap.tsx     # Heatmap layer
│   │   │   │   └── Legend.tsx      # Signal legend
│   │   │   ├── panels/
│   │   │   │   ├── SiteForm.tsx    # Manual input form
│   │   │   │   ├── SiteList.tsx    # Sites list
│   │   │   │   ├── Settings.tsx    # Settings panel
│   │   │   │   ├── TerrainPanel.tsx # Terrain management
│   │   │   │   └── FrequencySelector.tsx # Dynamic freq input
│   │   │   └── ui/
│   │   │       ├── Button.tsx
│   │   │       ├── Input.tsx
│   │   │       ├── Slider.tsx
│   │   │       ├── Select.tsx
│   │   │       └── Toast.tsx
│   │   │
│   │   ├── rf/
│   │   │   ├── calculator.ts       # Main RF calculator
│   │   │   ├── fspl.ts            # Universal FSPL
│   │   │   ├── terrain-loss.ts    # Terrain calculations
│   │   │   ├── antenna-pattern.ts # Sector patterns
│   │   │   └── utils.ts           # Haversine, bearing, etc.
│   │   │
│   │   ├── terrain/
│   │   │   ├── manager.ts         # TerrainManager (30m)
│   │   │   ├── regions.ts         # Ukraine regions
│   │   │   ├── parser.ts          # SRTM parser
│   │   │   └── interpolation.ts   # Bilinear interpolation
│   │   │
│   │   ├── store/
│   │   │   ├── sites.ts           # Sites state (Zustand)
│   │   │   ├── settings.ts        # Settings state
│   │   │   ├── coverage.ts        # Coverage state
│   │   │   └── auth.ts            # Auth state
│   │   │
│   │   ├── db/
│   │   │   ├── schema.ts          # IndexedDB schema
│   │   │   └── migrations.ts      # DB migrations
│   │   │
│   │   ├── api/
│   │   │   ├── client.ts          # API client
│   │   │   ├── terrain.ts         # Terrain endpoints
│   │   │   ├── sync.ts            # Sync endpoints
│   │   │   └── auth.ts            # Auth endpoints
│   │   │
│   │   ├── types/
│   │   │   ├── site.ts
│   │   │   ├── coverage.ts
│   │   │   ├── terrain.ts
│   │   │   ├── frequency.ts
│   │   │   └── index.ts
│   │   │
│   │   ├── constants/
│   │   │   ├── frequencies.ts     # Common bands
│   │   │   ├── rsrp-thresholds.ts
│   │   │   └── colors.ts
│   │   │
│   │   ├── utils/
│   │   │   ├── geo.ts             # Geographic utilities
│   │   │   ├── colors.ts          # Color utilities
│   │   │   ├── format.ts          # Formatters
│   │   │   └── validation.ts      # Input validation
│   │   │
│   │   ├── hooks/
│   │   │   ├── useRFCalculator.ts
│   │   │   ├── useTerrain.ts
│   │   │   ├── useOffline.ts
│   │   │   └── useFrequencyInfo.ts
│   │   │
│   │   ├── i18n/
│   │   │   ├── uk.json            # Ukrainian
│   │   │   └── en.json            # English
│   │   │
│   │   ├── App.tsx
│   │   ├── main.tsx
│   │   ├── service-worker.ts      # Service Worker
│   │   └── vite-env.d.ts
│   │
│   ├── tests/
│   │   ├── unit/
│   │   │   ├── fspl.test.ts
│   │   │   ├── haversine.test.ts
│   │   │   ├── terrain.test.ts
│   │   │   └── antenna-pattern.test.ts
│   │   └── integration/
│   │       ├── calculator.test.ts
│   │       └── terrain-manager.test.ts
│   │
│   ├── .gitignore
│   ├── package.json
│   ├── tsconfig.json
│   ├── vite.config.ts
│   ├── tailwind.config.js
│   └── README.md
│
├── backend/
│   ├── app/
│   │   ├── __init__.py
│   │   ├── main.py                # FastAPI app
│   │   ├── config.py              # Configuration
│   │   │
│   │   ├── api/
│   │   │   ├── __init__.py
│   │   │   ├── terrain.py         # Terrain CDN endpoints
│   │   │   ├── sync.py            # Sync endpoints
│   │   │   └── auth.py            # MAS OAuth
│   │   │
│   │   ├── services/
│   │   │   ├── terrain.py         # Terrain service
│   │   │   ├── sync.py            # Sync service
│   │   │   └── auth.py            # Auth service
│   │   │
│   │   ├── models/
│   │   │   └── config.py          # Pydantic models
│   │   │
│   │   └── db/
│   │       └── database.py        # SQLite setup
│   │
│   ├── data/
│   │   └── terrain/               # 30m SRTM files
│   │       ├── ukraine-west.hgt
│   │       ├── ukraine-center.hgt
│   │       ├── ukraine-east.hgt
│   │       ├── ukraine-south.hgt
│   │       └── ukraine-north.hgt
│   │
│   ├── scripts/
│   │   ├── download-srtm.py       # Download SRTM data
│   │   └── preprocess-terrain.py # Preprocess for web
│   │
│   ├── tests/
│   │   ├── test_terrain.py
│   │   └── test_sync.py
│   │
│   ├── .gitignore
│   ├── requirements.txt
│   ├── Dockerfile
│   └── README.md
│
├── docs/
│   ├── README.md                  # Project overview
│   ├── USAGE-uk.md                # User guide (Ukrainian)
│   ├── USAGE-en.md                # User guide (English)
│   ├── API.md                     # API documentation
│   └── DEPLOYMENT.md              # Deployment guide
│
├── docker-compose.yml
├── Caddyfile
├── .gitignore
├── LICENSE
└── RFCP-TechSpec-v3.0.md          # This file

Performance Targets

Load Time

Initial page load (online): < 3 seconds
Initial page load (offline, cached): < 1 second
Service Worker registration: < 500ms
PWA installation prompt: < 2 seconds after load

Calculation Performance

Single site, 5km radius, 100m resolution: < 1 second
Three sites, 5km radius, 100m resolution: < 2.5 seconds
Five sites, 10km radius, 100m resolution: < 8 seconds
With 30m terrain data: +20% calculation time (acceptable)

Rendering Performance

Heatmap render (1000 points): < 500ms
Heatmap render (5000 points): < 1.5 seconds
Heatmap render (10000 points): < 3 seconds
Map pan/zoom: 60 FPS (smooth)

Memory Usage

Base app: < 100MB
With 3 sites calculated: < 200MB
With 30m terrain loaded (1 region): < 600MB
With 30m terrain loaded (3 regions): < 1.5GB

Storage

Base app cache: ~15MB
30m terrain per region: ~400MB
User projects: < 1MB each
Total max storage: ~1.5GB (for 3 regions)

Network

Terrain download speed: depends on connection (30-60s for 400MB on 4G)
API response time: < 500ms
OAuth flow: < 2 seconds

Security & Privacy

PWA Security

Service Worker scope limited to origin
Content Security Policy (CSP) headers
No eval() or inline scripts
HTTPS required for production
Subresource Integrity (SRI) for CDN assets

Data Privacy

All calculations client-side (no data sent to server)
Terrain data cached locally
Optional cloud sync requires authentication
User projects encrypted in IndexedDB (future)
No analytics or tracking

Authentication

OAuth 2.0 with MAS
JWT tokens with short expiry (1 hour)
Refresh token rotation
No password storage
Logout clears all tokens

Network Security

TLS 1.3 required
HSTS enabled
Certificate pinning (future)
Rate limiting on API (100 req/hour)
CORS properly configured

Testing Strategy

Unit Tests

// tests/unit/fspl.test.ts
import { describe, it, expect } from 'vitest';
import { calculateFSPL } from '@/rf/fspl';

describe('Universal FSPL Calculator', () => {
  it('calculates correct path loss at 1km, 1800MHz', () => {
    const fspl = calculateFSPL(1.0, 1800);
    expect(fspl).toBeCloseTo(92.5, 1);
  });
  
  it('calculates correct path loss for VHF (150 MHz)', () => {
    const fspl = calculateFSPL(1.0, 150);
    expect(fspl).toBeCloseTo(71.0, 1);
  });
  
  it('lower frequency = less path loss', () => {
    const fspl150 = calculateFSPL(5.0, 150);
    const fspl1800 = calculateFSPL(5.0, 1800);
    expect(fspl150).toBeLessThan(fspl1800);
  });
  
  it('handles zero distance', () => {
    const fspl = calculateFSPL(0, 1800);
    expect(fspl).toBe(0);
  });
});

Integration Tests

// tests/integration/calculator.test.ts
import { describe, it, expect, beforeAll } from 'vitest';
import { RFCalculator } from '@/rf/calculator';
import { TerrainManager } from '@/terrain/manager';

describe('RF Calculator Integration', () => {
  let calculator: RFCalculator;
  
  beforeAll(() => {
    const terrain = new TerrainManager(db);
    calculator = new RFCalculator(terrain);
  });
  
  it('calculates coverage for single LTE site', async () => {
    const lteSite: Site = {
      id: '1',
      name: 'Test LTE',
      lat: 48.0,
      lon: 35.0,
      height: 30,
      power: 43,
      gain: 8,
      frequency: 1800,
      antennaType: 'omni',
      // ... other fields
    };
    
    const result = await calculator.calculateCoverage(
      [lteSite],
      testBounds,
      { radius: 5, resolution: 100, rsrpThreshold: -120 }
    );
    
    expect(result.points.length).toBeGreaterThan(0);
    expect(result.calculationTime).toBeLessThan(2000);
  });
  
  it('calculates coverage for custom frequency', async () => {
    const customSite: Site = {
      // ... LTE site params
      frequency: 450, // UHF
    };
    
    const result = await calculator.calculateCoverage([customSite], bounds, settings);
    expect(result.points.length).toBeGreaterThan(0);
  });
});

E2E Tests

// tests/e2e/coverage-flow.spec.ts
import { test, expect } from '@playwright/test';

test('complete coverage calculation flow with manual input', async ({ page }) => {
  await page.goto('http://localhost:5173');
  await page.waitForSelector('.leaflet-container');
  
  // Click on map to place site
  await page.click('.leaflet-container', {
    position: { x: 400, y: 300 }
  });
  
  // Fill in manual parameters
  await page.fill('input[name="name"]', 'Test Station');
  await page.getByLabel('Потужність передавача').fill('43');
  await page.getByLabel('Коефіцієнт антени').fill('8');
  
  // Select frequency
  await page.click('button:has-text("1800")');
  
  await page.getByLabel('Висота антени').fill('30');
  
  // Save site
  await page.click('button:has-text("Зберегти")');
  
  // Calculate coverage
  await page.click('button:has-text("Розрахувати покриття")');
  
  // Wait for heatmap
  await page.waitForSelector('.leaflet-heatmap-layer', {
    timeout: 10000
  });
  
  // Verify heatmap is visible
  const heatmap = await page.locator('.leaflet-heatmap-layer');
  await expect(heatmap).toBeVisible();
});

Deployment

Prerequisites

# VPS requirements
- Ubuntu 22.04 LTS
- 4GB RAM (for terrain processing)
- 30GB disk space (20GB for terrain data)
- Docker + Docker Compose installed
- Domain configured (rfcp.eliah.one)

Deployment Steps

# 1. Clone repository
git clone https://git.eliah.one/mytec/rfcp.git
cd rfcp

# 2. Configure environment
cp .env.example .env
nano .env

# 3. Download and preprocess 30m SRTM terrain data
cd backend
python scripts/download-srtm.py    # Downloads raw SRTM
python scripts/preprocess-terrain.py # Converts to optimized format
cd ..

# 4. Build containers
docker-compose build

# 5. Start services
docker-compose up -d

# 6. Check status
docker-compose ps
curl https://rfcp.eliah.one/health
curl https://rfcp.eliah.one/api/terrain/ukraine-east # Should return 400MB file

Docker Compose

version: '3.8'

services:
  frontend:
    build:
      context: ./frontend
      dockerfile: Dockerfile
    environment:
      - NODE_ENV=production
      - VITE_API_URL=https://rfcp.eliah.one/api
    restart: unless-stopped

  backend:
    build:
      context: ./backend
      dockerfile: Dockerfile
    environment:
      - ENVIRONMENT=production
      - MAS_URL=https://mas.umtc.dev
      - DATABASE_URL=sqlite:///data/rfcp.db
    volumes:
      - ./backend/data:/app/data
      - terrain_data:/app/data/terrain
    restart: unless-stopped

  caddy:
    image: caddy:2-alpine
    ports:
      - "80:80"
      - "443:443"
    volumes:
      - ./Caddyfile:/etc/caddy/Caddyfile
      - caddy_data:/data
      - caddy_config:/config
    restart: unless-stopped

volumes:
  caddy_data:
  caddy_config:
  terrain_data:

Caddyfile

rfcp.eliah.one {
    # Frontend
    reverse_proxy frontend:5173
    
    # Backend API
    reverse_proxy /api/* backend:8000
    
    # Security headers
    header {
        Strict-Transport-Security "max-age=31536000; includeSubDomains; preload"
        X-Content-Type-Options "nosniff"
        X-Frame-Options "DENY"
        Referrer-Policy "strict-origin-when-cross-origin"
        Content-Security-Policy "default-src 'self'; script-src 'self' 'wasm-unsafe-eval'; style-src 'self' 'unsafe-inline'; img-src 'self' data: https://*.openstreetmap.org; worker-src 'self' blob:; connect-src 'self' https://rfcp.eliah.one"
    }
    
    # Cache static assets
    @static {
        path *.js *.css *.woff2 *.png *.jpg *.svg
    }
    header @static Cache-Control "public, max-age=31536000"
    
    # Service Worker - no cache
    @sw {
        path /service-worker.js
    }
    header @sw Cache-Control "no-cache"
    
    # Terrain data - long cache
    @terrain {
        path /api/terrain/*
    }
    header @terrain Cache-Control "public, max-age=7776000" # 90 days
}

Success Metrics

MVP Success Criteria

✅ Technical:

PWA installable on mobile/desktop/tablet
Works offline after initial load
Coverage calculation < 3 seconds (3 sites, 5km, 100m)
Heatmap renders smoothly (< 2s for 5000 points)
Supports 5+ sites simultaneously
30m terrain integration working
Manual input fully functional

✅ User Experience:

Intuitive UI (no tutorial needed for basic tasks)
Works on 4G tablet
Terrain data downloads automatically
Can save and load projects
Bilingual support (UK/EN)
Helpful contextual info (band info, wavelength)

✅ Deployment:

Live at https://rfcp.eliah.one
99% uptime
Accessible from military networks
Offline installer available (~200MB + terrain)

KPIs

Performance: 95% of calculations complete in < 3s
Adoption: 20+ active users in first month
Reliability: < 1 critical bug per week post-launch
Offline Usage: 60%+ of sessions offline
Terrain Downloads: Average 2-3 regions per user

Open Questions & Next Steps

Questions Answered ✅

✅ Terrain detail: 30m SRTM (1 arc-second)
✅ Frequency bands: Band 3, 7, 20, 2 + dynamic input (any 400-6000 MHz)
✅ Input method: Manual input > equipment presets
✅ Equipment parameters: Not critical for MVP, add later
✅ RF measurements: v1.1 feature (CSV import)
✅ Languages: Ukrainian + English only

Next Actions

Initialize Project ✅
- Git repo created
- TechSpec finalized
- Start Phase 1 implementation
Phase 1 Start (Tomorrow)
- Setup React + TypeScript + Vite
- Configure Tailwind
- Create manual input UI
- Integrate Leaflet map
Ongoing
- Weekly progress reviews
- Adjust roadmap based on feedback
- Test on real devices (tablets)

Contact & Support

Project Lead: Олег (mytec)
Repository: https://git.eliah.one/mytec/rfcp
Documentation: https://git.eliah.one/mytec/rfcp/wiki
Issues: https://git.eliah.one/mytec/rfcp/issues
Deployment: https://rfcp.eliah.one

Document Version: 3.0 (Final)
Last Updated: 2025-01-30
Status: 🚀 Ready for Development
Next Action: Phase 1 Implementation - Manual Input UI

Changes from v2.0:

✅ 30m SRTM resolution (vs 90m)
✅ Manual input UI (vs equipment presets)
✅ Dynamic frequency input (vs fixed dropdown)
✅ Removed equipment database
✅ Added UHF/VHF roadmap (v1.1)
✅ Enhanced terrain manager for 30m data
✅ Updated UI mockups for manual input
✅ Clarified typical deployment (2-3 regions)

72 KiB Raw Blame History Unescape Escape

RFCP - RF Coverage Planning Tool

Technical Specification v3.0 (Final)

Executive Summary

Core Philosophy

Key Features

Target Users

Architecture Overview

High-Level Architecture

Technology Stack

Frontend (PWA Core)

Backend (Optional/Supplementary)

Infrastructure

Data Models

TypeScript Types (Frontend)

IndexedDB Schema (Dexie)

Frequency Bands & Configuration

Common Frequency Bands (Reference Data)

RF Propagation Models

Free Space Path Loss (FSPL) - Universal

Terrain Loss Model (Enhanced for 30m SRTM)

Sector Antenna Pattern

Signal Quality Thresholds

User Interface Design

Main Application Layout

Site Configuration Panel (Manual Input)

Terrain Data Management (30m SRTM)

Ukraine Terrain Regions (Updated for 30m)

Enhanced Terrain Manager (30m resolution)

RF Calculation Engine (Universal)

Core Calculator Class

Web Worker Implementation

Development Roadmap

Phase 1: Core UI & Manual Input (Days 1-2)

Phase 2: RF Calculation Engine (Days 3-4)

Phase 3: Heatmap Visualization (Days 5-6)

Phase 4: Terrain Integration (Days 7-9)

Phase 5: Multi-Site & UX Polish (Days 10-11)

Phase 6: Backend & Auth (Days 12-13)

Phase 7: Deployment (Days 14-15)

Post-MVP Roadmap

v1.1 - UHF/VHF Support (Week 4-5) 🎯

v1.2 - Advanced Features (Week 6-7)

v2.0 - Advanced Platform (Month 3+)

File Structure

Performance Targets

Load Time

Calculation Performance

Rendering Performance

Memory Usage

Storage

Network

Security & Privacy

PWA Security

Data Privacy

Authentication

Network Security

Testing Strategy

Unit Tests

Integration Tests

E2E Tests

Deployment

Prerequisites

Deployment Steps

Docker Compose

Caddyfile

Success Metrics

MVP Success Criteria

KPIs

Open Questions & Next Steps

Questions Answered ✅

Next Actions

Contact & Support

72 KiB

Raw Blame History