5G: Transforming Connectivity in Communications, Media, and Information Services

import asyncio
import json
import time
from datetime import datetime, timedelta
from typing import Dict, List, Optional
from dataclasses import dataclass
from enum import Enum

class NetworkSliceType(Enum):
    EMBB = "enhanced_mobile_broadband"  # High-speed data
    URLLC = "ultra_reliable_low_latency"  # Critical communications
    MMTC = "massive_machine_type"  # IoT devices

@dataclass
class NetworkMetrics:
    timestamp: datetime
    latency_ms: float
    throughput_mbps: float
    packet_loss_rate: float
    jitter_ms: float
    signal_strength_dbm: float
    connected_devices: int

@dataclass
class ApplicationRequirement:
    name: str
    max_latency_ms: float
    min_throughput_mbps: float
    max_packet_loss: float
    slice_type: NetworkSliceType
    priority_level: int

class FiveGNetworkMonitor:
    def __init__(self):
        self.network_slices = {}
        self.performance_history = []
        self.connected_applications = {}
        self.sla_thresholds = {}
        self.alerts = []
        
        # Define application requirements for media services
        self.application_requirements = {
            'live_4k_streaming': ApplicationRequirement(
                'Live 4K Video Streaming',
                max_latency_ms=50.0,
                min_throughput_mbps=25.0,
                max_packet_loss=0.001,
                slice_type=NetworkSliceType.EMBB,
                priority_level=8
            ),
            'vr_gaming': ApplicationRequirement(
                'VR Gaming',
                max_latency_ms=20.0,
                min_throughput_mbps=100.0,
                max_packet_loss=0.0001,
                slice_type=NetworkSliceType.URLLC,
                priority_level=9
            ),
            'iot_sensors': ApplicationRequirement(
                'IoT Sensor Network',
                max_latency_ms=1000.0,
                min_throughput_mbps=0.1,
                max_packet_loss=0.01,
                slice_type=NetworkSliceType.MMTC,
                priority_level=5
            ),
            'cloud_gaming': ApplicationRequirement(
                'Cloud Gaming',
                max_latency_ms=10.0,
                min_throughput_mbps=50.0,
                max_packet_loss=0.0001,
                slice_type=NetworkSliceType.URLLC,
                priority_level=9
            ),
            'ar_media': ApplicationRequirement(
                'Augmented Reality Media',
                max_latency_ms=15.0,
                min_throughput_mbps=75.0,
                max_packet_loss=0.0005,
                slice_type=NetworkSliceType.URLLC,
                priority_level=8
            )
        }
    
    def create_network_slice(self, slice_id: str, slice_type: NetworkSliceType, 
                           bandwidth_mbps: float, applications: List[str]):
        """Create a dedicated network slice for specific applications"""
        slice_config = {
            'slice_id': slice_id,
            'type': slice_type,
            'allocated_bandwidth': bandwidth_mbps,
            'applications': applications,
            'created_at': datetime.now(),
            'status': 'active',
            'performance_guarantees': self._calculate_slice_guarantees(applications),
            'current_utilization': 0.0
        }
        
        self.network_slices[slice_id] = slice_config
        return slice_config
    
    def _calculate_slice_guarantees(self, applications: List[str]) -> Dict:
        """Calculate performance guarantees based on application requirements"""
        if not applications:
            return {}
        
        app_reqs = [self.application_requirements.get(app) for app in applications if app in self.application_requirements]
        if not app_reqs:
            return {}
        
        return {
            'max_latency_ms': min(req.max_latency_ms for req in app_reqs),
            'min_throughput_mbps': max(req.min_throughput_mbps for req in app_reqs),
            'max_packet_loss': min(req.max_packet_loss for req in app_reqs),
            'priority_level': max(req.priority_level for req in app_reqs)
        }
    
    async def monitor_network_performance(self, slice_id: str) -> NetworkMetrics:
        """Monitor real-time network performance for a specific slice"""
        # Simulate network measurements (in production, integrate with actual 5G APIs)
        await asyncio.sleep(0.1)  # Simulate measurement time
        
        metrics = NetworkMetrics(
            timestamp=datetime.now(),
            latency_ms=self._simulate_latency(slice_id),
            throughput_mbps=self._simulate_throughput(slice_id),
            packet_loss_rate=self._simulate_packet_loss(slice_id),
            jitter_ms=self._simulate_jitter(slice_id),
            signal_strength_dbm=self._simulate_signal_strength(),
            connected_devices=self._get_connected_device_count(slice_id)
        )
        
        # Store metrics for historical analysis
        self.performance_history.append({
            'slice_id': slice_id,
            'metrics': metrics
        })
        
        # Check SLA compliance
        await self._check_sla_compliance(slice_id, metrics)
        
        return metrics
    
    def _simulate_latency(self, slice_id: str) -> float:
        """Simulate latency measurements based on slice type"""
        slice_info = self.network_slices.get(slice_id)
        if not slice_info:
            return 50.0
        
        base_latency = {
            NetworkSliceType.URLLC: 1.0,
            NetworkSliceType.EMBB: 10.0,
            NetworkSliceType.MMTC: 100.0
        }.get(slice_info['type'], 20.0)
        
        # Add some random variation
        import random
        return base_latency + random.uniform(-base_latency * 0.2, base_latency * 0.3)
    
    def _simulate_throughput(self, slice_id: str) -> float:
        """Simulate throughput measurements"""
        slice_info = self.network_slices.get(slice_id)
        if not slice_info:
            return 100.0
        
        allocated = slice_info['allocated_bandwidth']
        utilization = slice_info['current_utilization']
        
        # Available throughput decreases with utilization
        available = allocated * (1 - utilization * 0.8)
        
        import random
        return max(0, available + random.uniform(-allocated * 0.1, allocated * 0.05))
    
    def _simulate_packet_loss(self, slice_id: str) -> float:
        """Simulate packet loss measurements"""
        slice_info = self.network_slices.get(slice_id)
        if not slice_info:
            return 0.001
        
        base_loss = {
            NetworkSliceType.URLLC: 0.00001,
            NetworkSliceType.EMBB: 0.0001,
            NetworkSliceType.MMTC: 0.001
        }.get(slice_info['type'], 0.0005)
        
        import random
        return max(0, base_loss + random.uniform(-base_loss * 0.5, base_loss * 2.0))
    
    def _simulate_jitter(self, slice_id: str) -> float:
        """Simulate jitter measurements"""
        latency = self._simulate_latency(slice_id)
        import random
        return latency * 0.1 + random.uniform(0, latency * 0.05)
    
    def _simulate_signal_strength(self) -> float:
        """Simulate signal strength"""
        import random
        return random.uniform(-85, -60)  # dBm range for 5G
    
    def _get_connected_device_count(self, slice_id: str) -> int:
        """Get number of connected devices for slice"""
        slice_info = self.network_slices.get(slice_id)
        if not slice_info:
            return 0
        
        # Simulate device count based on slice type
        base_devices = {
            NetworkSliceType.URLLC: 100,
            NetworkSliceType.EMBB: 1000,
            NetworkSliceType.MMTC: 10000
        }.get(slice_info['type'], 500)
        
        import random
        return random.randint(int(base_devices * 0.7), int(base_devices * 1.3))
    
    async def _check_sla_compliance(self, slice_id: str, metrics: NetworkMetrics):
        """Check if performance meets SLA requirements"""
        slice_info = self.network_slices.get(slice_id)
        if not slice_info or 'performance_guarantees' not in slice_info:
            return
        
        guarantees = slice_info['performance_guarantees']
        violations = []
        
        # Check latency
        if metrics.latency_ms > guarantees.get('max_latency_ms', float('inf')):
            violations.append(f"Latency {metrics.latency_ms}ms exceeds SLA {guarantees['max_latency_ms']}ms")
        
        # Check throughput
        if metrics.throughput_mbps < guarantees.get('min_throughput_mbps', 0):
            violations.append(f"Throughput {metrics.throughput_mbps}Mbps below SLA {guarantees['min_throughput_mbps']}Mbps")
        
        # Check packet loss
        if metrics.packet_loss_rate > guarantees.get('max_packet_loss', 1.0):
            violations.append(f"Packet loss {metrics.packet_loss_rate} exceeds SLA {guarantees['max_packet_loss']}")
        
        if violations:
            alert = {
                'timestamp': datetime.now(),
                'slice_id': slice_id,
                'type': 'SLA_VIOLATION',
                'severity': 'HIGH',
                'violations': violations,
                'current_metrics': metrics
            }
            self.alerts.append(alert)
            await self._trigger_auto_remediation(slice_id, violations)
    
    async def _trigger_auto_remediation(self, slice_id: str, violations: List[str]):
        """Trigger automatic remediation for SLA violations"""
        remediation_actions = []
        
        for violation in violations:
            if 'Latency' in violation:
                remediation_actions.append('Enable edge computing for slice')
                remediation_actions.append('Increase slice priority')
            elif 'Throughput' in violation:
                remediation_actions.append('Allocate additional bandwidth')
                remediation_actions.append('Load balance traffic')
            elif 'Packet loss' in violation:
                remediation_actions.append('Switch to backup infrastructure')
                remediation_actions.append('Optimize routing paths')
        
        print(f"Auto-remediation triggered for slice {slice_id}: {remediation_actions}")
        # In production, implement actual remediation logic
    
    def optimize_slice_allocation(self) -> Dict:
        """Optimize bandwidth allocation across network slices"""
        optimization_results = {
            'timestamp': datetime.now(),
            'optimizations': [],
            'projected_improvements': {}
        }
        
        # Analyze recent performance data
        recent_data = [entry for entry in self.performance_history 
                      if entry['metrics'].timestamp > datetime.now() - timedelta(hours=1)]
        
        slice_performance = {}
        for entry in recent_data:
            slice_id = entry['slice_id']
            if slice_id not in slice_performance:
                slice_performance[slice_id] = []
            slice_performance[slice_id].append(entry['metrics'])
        
        # Identify optimization opportunities
        for slice_id, metrics_list in slice_performance.items():
            avg_utilization = sum(m.throughput_mbps for m in metrics_list) / len(metrics_list)
            avg_latency = sum(m.latency_ms for m in metrics_list) / len(metrics_list)
            
            slice_info = self.network_slices.get(slice_id)
            if not slice_info:
                continue
            
            allocated_bandwidth = slice_info['allocated_bandwidth']
            utilization_rate = avg_utilization / allocated_bandwidth
            
            if utilization_rate > 0.8:  # High utilization
                optimization_results['optimizations'].append({
                    'slice_id': slice_id,
                    'action': 'increase_bandwidth',
                    'current_allocation': allocated_bandwidth,
                    'recommended_allocation': allocated_bandwidth * 1.2,
                    'reason': f'High utilization: {utilization_rate:.1%}'
                })
            elif utilization_rate < 0.3:  # Low utilization
                optimization_results['optimizations'].append({
                    'slice_id': slice_id,
                    'action': 'reduce_bandwidth',
                    'current_allocation': allocated_bandwidth,
                    'recommended_allocation': allocated_bandwidth * 0.8,
                    'reason': f'Low utilization: {utilization_rate:.1%}'
                })
        
        return optimization_results
    
    def generate_performance_report(self, hours: int = 24) -> Dict:
        """Generate comprehensive performance report"""
        cutoff_time = datetime.now() - timedelta(hours=hours)
        recent_data = [entry for entry in self.performance_history 
                      if entry['metrics'].timestamp > cutoff_time]
        
        if not recent_data:
            return {'error': 'No performance data available for the specified period'}
        
        # Aggregate metrics by slice
        slice_stats = {}
        for entry in recent_data:
            slice_id = entry['slice_id']
            metrics = entry['metrics']
            
            if slice_id not in slice_stats:
                slice_stats[slice_id] = {
                    'latency_samples': [],
                    'throughput_samples': [],
                    'packet_loss_samples': [],
                    'jitter_samples': []
                }
            
            slice_stats[slice_id]['latency_samples'].append(metrics.latency_ms)
            slice_stats[slice_id]['throughput_samples'].append(metrics.throughput_mbps)
            slice_stats[slice_id]['packet_loss_samples'].append(metrics.packet_loss_rate)
            slice_stats[slice_id]['jitter_samples'].append(metrics.jitter_ms)
        
        # Calculate statistics
        report = {
            'report_period': f"Last {hours} hours",
            'generated_at': datetime.now().isoformat(),
            'slice_performance': {},
            'overall_health': 'Good',
            'recommendations': []
        }
        
        for slice_id, stats in slice_stats.items():
            slice_report = {
                'average_latency_ms': sum(stats['latency_samples']) / len(stats['latency_samples']),
                'max_latency_ms': max(stats['latency_samples']),
                'average_throughput_mbps': sum(stats['throughput_samples']) / len(stats['throughput_samples']),
                'min_throughput_mbps': min(stats['throughput_samples']),
                'average_packet_loss': sum(stats['packet_loss_samples']) / len(stats['packet_loss_samples']),
                'max_packet_loss': max(stats['packet_loss_samples']),
                'average_jitter_ms': sum(stats['jitter_samples']) / len(stats['jitter_samples']),
                'sample_count': len(stats['latency_samples']),
                'sla_compliance': self._calculate_sla_compliance(slice_id, stats)
            }
            
            report['slice_performance'][slice_id] = slice_report
        
        return report
    
    def _calculate_sla_compliance(self, slice_id: str, stats: Dict) -> Dict:
        """Calculate SLA compliance percentage"""
        slice_info = self.network_slices.get(slice_id)
        if not slice_info or 'performance_guarantees' not in slice_info:
            return {'compliance_rate': 100.0, 'note': 'No SLA defined'}
        
        guarantees = slice_info['performance_guarantees']
        total_samples = len(stats['latency_samples'])
        compliant_samples = 0
        
        for i in range(total_samples):
            latency_ok = stats['latency_samples'][i] <= guarantees.get('max_latency_ms', float('inf'))
            throughput_ok = stats['throughput_samples'][i] >= guarantees.get('min_throughput_mbps', 0)
            packet_loss_ok = stats['packet_loss_samples'][i] <= guarantees.get('max_packet_loss', 1.0)
            
            if latency_ok and throughput_ok and packet_loss_ok:
                compliant_samples += 1
        
        compliance_rate = (compliant_samples / total_samples) * 100 if total_samples > 0 else 0
        
        return {
            'compliance_rate': compliance_rate,
            'compliant_samples': compliant_samples,
            'total_samples': total_samples,
            'status': 'Compliant' if compliance_rate >= 99.0 else 'Non-Compliant'
        }

# Example usage:
# monitor = FiveGNetworkMonitor()
# 
# # Create network slices for different media applications
# media_slice = monitor.create_network_slice(
#     'media_streaming_slice',
#     NetworkSliceType.EMBB,
#     500.0,  # 500 Mbps allocated
#     ['live_4k_streaming', 'ar_media']
# )
# 
# gaming_slice = monitor.create_network_slice(
#     'gaming_slice',
#     NetworkSliceType.URLLC,
#     200.0,  # 200 Mbps allocated
#     ['vr_gaming', 'cloud_gaming']
# )
# 
# # Monitor performance
# async def monitor_all_slices():
#     while True:
#         for slice_id in monitor.network_slices.keys():
#             metrics = await monitor.monitor_network_performance(slice_id)
#             print(f"Slice {slice_id}: Latency {metrics.latency_ms}ms, Throughput {metrics.throughput_mbps}Mbps")
#         await asyncio.sleep(5)
# 
# # Run monitoring
# asyncio.run(monitor_all_slices())

class FiveGCommunicationPlatform {
  constructor(apiKey, networkSliceId) {
    this.apiKey = apiKey;
    this.networkSliceId = networkSliceId;
    this.activeConnections = new Map();
    this.performanceMetrics = new Map();
    this.qualityThresholds = {
      video: { minBandwidth: 5, maxLatency: 150, maxJitter: 30 },
      audio: { minBandwidth: 0.1, maxLatency: 100, maxJitter: 20 },
      data: { minBandwidth: 1, maxLatency: 50, maxJitter: 10 }
    };
  }

  // Initialize 5G-optimized WebRTC connection
  async initializeConnection(userId, mediaType) {
    const connectionConfig = {
      iceServers: [
        { urls: 'stun:stun.5g-edge.com:3478' },
        { 
          urls: 'turn:turn.5g-edge.com:443',
          username: 'edge-user',
          credential: 'edge-pass'
        }
      ],
      // 5G-specific optimizations
      bundlePolicy: 'max-bundle',
      rtcpMuxPolicy: 'require',
      iceCandidatePoolSize: 10,
      // Enable advanced codecs for 5G
      codecPreferences: this.get5GOptimizedCodecs(mediaType)
    };

    const connection = new RTCPeerConnection(connectionConfig);
    
    // Configure for 5G ultra-low latency
    await this.configure5GOptimizations(connection, mediaType);
    
    // Set up performance monitoring
    this.setupPerformanceMonitoring(connection, userId);
    
    this.activeConnections.set(userId, {
      connection: connection,
      mediaType: mediaType,
      connectedAt: new Date(),
      networkSlice: this.networkSliceId,
      qualityMetrics: {
        latency: [],
        bandwidth: [],
        packetLoss: [],
        jitter: []
      }
    });

    return connection;
  }

  get5GOptimizedCodecs(mediaType) {
    const codecPreferences = {
      video: [
        'video/AV1',     // Next-gen codec optimized for 5G
        'video/VP9',     // High efficiency for mobile
        'video/H265',    // HEVC for 4K/8K content
        'video/H264'     // Fallback compatibility
      ],
      audio: [
        'audio/opus',    // Low-latency, high-quality
        'audio/G722',    // Wideband audio
        'audio/PCMU'     // Fallback
      ]
    };

    return codecPreferences[mediaType] || [];
  }

  async configure5GOptimizations(connection, mediaType) {
    // Configure transceivers for optimal 5G performance
    const transceiver = connection.addTransceiver(mediaType, {
      direction: 'sendrecv',
      streams: [],
      sendEncodings: this.get5GSendEncodings(mediaType)
    });

    // Set codec parameters for 5G networks
    await this.setCodecParameters(transceiver, mediaType);
    
    // Enable adaptive bitrate for varying 5G conditions
    this.enableAdaptiveBitrate(transceiver);
  }

  get5GSendEncodings(mediaType) {
    if (mediaType === 'video') {
      return [
        // Multiple layers for adaptive streaming
        { 
          rid: 'high', 
          maxBitrate: 5000000,  // 5 Mbps for 4K
          maxFramerate: 60,
          scaleResolutionDownBy: 1.0
        },
        { 
          rid: 'medium', 
          maxBitrate: 2000000,  // 2 Mbps for 1080p
          maxFramerate: 30,
          scaleResolutionDownBy: 2.0
        },
        { 
          rid: 'low', 
          maxBitrate: 500000,   // 500 kbps for 720p
          maxFramerate: 15,
          scaleResolutionDownBy: 4.0
        }
      ];
    }
    
    return [{ maxBitrate: 128000 }]; // Audio default
  }

  async setCodecParameters(transceiver, mediaType) {
    const sender = transceiver.sender;
    const capabilities = RTCRtpSender.getCapabilities(mediaType);
    
    if (mediaType === 'video') {
      // Prioritize AV1 codec for 5G efficiency
      const av1Codec = capabilities.codecs.find(codec => 
        codec.mimeType.toLowerCase() === 'video/av1'
      );
      
      if (av1Codec) {
        const params = sender.getParameters();
        params.codecs = [av1Codec];
        
        // 5G-optimized parameters
        av1Codec.parameters = {
          'profile-level-id': '0',
          'tier-flag': '0',
          'complexity': 'realtime',
          'error-resilience': 'enabled'
        };
        
        await sender.setParameters(params);
      }
    }
  }

  enableAdaptiveBitrate(transceiver) {
    // Monitor network conditions and adapt bitrate
    setInterval(async () => {
      const stats = await transceiver.sender.getStats();
      const networkQuality = this.analyzeNetworkQuality(stats);
      
      if (networkQuality.recommendedBitrate) {
        await this.adjustBitrate(transceiver, networkQuality.recommendedBitrate);
      }
    }, 2000); // Check every 2 seconds
  }

  analyzeNetworkQuality(stats) {
    let recommendedBitrate = null;
    let currentBitrate = 0;
    let packetLoss = 0;
    let rtt = 0;

    stats.forEach(report => {
      if (report.type === 'outbound-rtp') {
        currentBitrate = report.targetBitrate || 0;
      }
      
      if (report.type === 'candidate-pair' && report.state === 'succeeded') {
        rtt = report.currentRoundTripTime * 1000; // Convert to ms
      }
      
      if (report.type === 'remote-inbound-rtp') {
        packetLoss = report.fractionLost || 0;
      }
    });

    // 5G network should handle high bitrates with low latency
    if (rtt < 20 && packetLoss < 0.01) {
      // Excellent 5G conditions - increase bitrate
      recommendedBitrate = Math.min(currentBitrate * 1.2, 8000000);
    } else if (rtt > 100 || packetLoss > 0.05) {
      // Poor conditions - reduce bitrate
      recommendedBitrate = Math.max(currentBitrate * 0.8, 500000);
    }

    return {
      rtt,
      packetLoss,
      currentBitrate,
      recommendedBitrate,
      networkQuality: rtt < 50 && packetLoss < 0.02 ? 'excellent' : 'degraded'
    };
  }

  async adjustBitrate(transceiver, targetBitrate) {
    const sender = transceiver.sender;
    const params = sender.getParameters();
    
    if (params.encodings && params.encodings.length > 0) {
      params.encodings[0].maxBitrate = targetBitrate;
      await sender.setParameters(params);
      
      console.log(`Bitrate adjusted to ${targetBitrate} bps for 5G optimization`);
    }
  }

  setupPerformanceMonitoring(connection, userId) {
    // Monitor connection quality every second
    const monitoringInterval = setInterval(async () => {
      if (connection.connectionState === 'closed') {
        clearInterval(monitoringInterval);
        return;
      }

      const stats = await connection.getStats();
      const metrics = this.extractPerformanceMetrics(stats);
      
      // Store metrics for analysis
      const userConnection = this.activeConnections.get(userId);
      if (userConnection) {
        this.updateQualityMetrics(userConnection, metrics);
        
        // Check quality thresholds and trigger optimizations
        await this.checkQualityThresholds(userId, metrics);
      }
    }, 1000);
  }

  extractPerformanceMetrics(stats) {
    const metrics = {
      timestamp: Date.now(),
      audio: { latency: 0, bandwidth: 0, packetLoss: 0, jitter: 0 },
      video: { latency: 0, bandwidth: 0, packetLoss: 0, jitter: 0 }
    };

    stats.forEach(report => {
      const mediaType = report.mediaType;
      
      if (report.type === 'inbound-rtp' && mediaType) {
        metrics[mediaType].bandwidth = report.bytesReceived || 0;
        metrics[mediaType].jitter = (report.jitter || 0) * 1000; // Convert to ms
        metrics[mediaType].packetLoss = report.packetsLost || 0;
      }
      
      if (report.type === 'candidate-pair' && report.state === 'succeeded') {
        const rtt = (report.currentRoundTripTime || 0) * 1000;
        metrics.audio.latency = rtt;
        metrics.video.latency = rtt;
      }
    });

    return metrics;
  }

  updateQualityMetrics(userConnection, metrics) {
    // Store last 60 seconds of metrics (rolling window)
    const maxSamples = 60;
    
    ['audio', 'video'].forEach(mediaType => {
      const mediaMetrics = userConnection.qualityMetrics;
      
      ['latency', 'bandwidth', 'packetLoss', 'jitter'].forEach(metric => {
        if (!mediaMetrics[metric]) mediaMetrics[metric] = [];
        
        mediaMetrics[metric].push(metrics[mediaType][metric]);
        
        // Keep only recent samples
        if (mediaMetrics[metric].length > maxSamples) {
          mediaMetrics[metric] = mediaMetrics[metric].slice(-maxSamples);
        }
      });
    });
  }

  async checkQualityThresholds(userId, metrics) {
    const userConnection = this.activeConnections.get(userId);
    const mediaType = userConnection.mediaType;
    const thresholds = this.qualityThresholds[mediaType];
    
    const currentMetrics = metrics[mediaType];
    
    // Check if metrics violate thresholds
    const violations = [];
    
    if (currentMetrics.latency > thresholds.maxLatency) {
      violations.push(`High latency: ${currentMetrics.latency}ms`);
    }
    
    if (currentMetrics.jitter > thresholds.maxJitter) {
      violations.push(`High jitter: ${currentMetrics.jitter}ms`);
    }
    
    if (violations.length > 0) {
      await this.triggerQualityOptimization(userId, violations);
    }
  }

  async triggerQualityOptimization(userId, violations) {
    console.log(`Quality optimization triggered for user ${userId}:`, violations);
    
    const userConnection = this.activeConnections.get(userId);
    
    // Implement 5G-specific optimizations
    if (violations.some(v => v.includes('latency'))) {
      // Switch to edge computing node
      await this.switchToEdgeNode(userId);
    }
    
    if (violations.some(v => v.includes('jitter'))) {
      // Prioritize traffic in 5G slice
      await this.increasePriority(userId);
    }
  }

  async switchToEdgeNode(userId) {
    // Request switch to nearest 5G edge computing node
    const response = await fetch('/api/5g/edge-switch', {
      method: 'POST',
      headers: {
        'Authorization': `Bearer ${this.apiKey}`,
        'Content-Type': 'application/json'
      },
      body: JSON.stringify({
        userId: userId,
        networkSlice: this.networkSliceId,
        requestType: 'edge_optimization'
      })
    });
    
    if (response.ok) {
      console.log(`Edge node switch initiated for user ${userId}`);
    }
  }

  async increasePriority(userId) {
    // Request increased QoS priority in 5G network slice
    const response = await fetch('/api/5g/qos-priority', {
      method: 'POST',
      headers: {
        'Authorization': `Bearer ${this.apiKey}`,
        'Content-Type': 'application/json'
      },
      body: JSON.stringify({
        userId: userId,
        networkSlice: this.networkSliceId,
        priorityLevel: 'high',
        duration: 300 // 5 minutes
      })
    });
    
    if (response.ok) {
      console.log(`QoS priority increased for user ${userId}`);
    }
  }

  // Generate quality of experience report
  generateQoEReport(userId) {
    const userConnection = this.activeConnections.get(userId);
    if (!userConnection) return null;
    
    const metrics = userConnection.qualityMetrics;
    
    const report = {
      userId: userId,
      sessionDuration: Date.now() - userConnection.connectedAt.getTime(),
      mediaType: userConnection.mediaType,
      networkSlice: userConnection.networkSlice,
      averageMetrics: {},
      qualityScore: 0
    };
    
    // Calculate averages
    ['latency', 'bandwidth', 'packetLoss', 'jitter'].forEach(metric => {
      if (metrics[metric] && metrics[metric].length > 0) {
        const sum = metrics[metric].reduce((a, b) => a + b, 0);
        report.averageMetrics[metric] = sum / metrics[metric].length;
      }
    });
    
    // Calculate quality score (0-100)
    const thresholds = this.qualityThresholds[userConnection.mediaType];
    let score = 100;
    
    if (report.averageMetrics.latency > thresholds.maxLatency) {
      score -= 30;
    }
    if (report.averageMetrics.jitter > thresholds.maxJitter) {
      score -= 20;
    }
    if (report.averageMetrics.packetLoss > 0.01) {
      score -= 25;
    }
    
    report.qualityScore = Math.max(0, score);
    
    return report;
  }

  // Clean up connection
  async disconnectUser(userId) {
    const userConnection = this.activeConnections.get(userId);
    if (userConnection) {
      userConnection.connection.close();
      this.activeConnections.delete(userId);
      
      // Generate final QoE report
      const finalReport = this.generateQoEReport(userId);
      console.log('Final QoE Report:', finalReport);
    }
  }

  // Get platform status
  getPlatformStatus() {
    return {
      activeConnections: this.activeConnections.size,
      networkSlice: this.networkSliceId,
      averageQuality: this.calculateAverageQuality(),
      timestamp: new Date().toISOString()
    };
  }

  calculateAverageQuality() {
    const connections = Array.from(this.activeConnections.values());
    if (connections.length === 0) return 0;
    
    const qualityScores = connections.map(conn => {
      // Calculate quality score for each connection
      return this.generateQoEReport(Array.from(this.activeConnections.keys()).find(key => 
        this.activeConnections.get(key) === conn
      ))?.qualityScore || 0;
    });
    
    return qualityScores.reduce((sum, score) => sum + score, 0) / qualityScores.length;
  }
}

// Example usage:
// const platform = new FiveGCommunicationPlatform('api-key-123', 'media-slice-001');
// 
// // Initialize connection for video call
// const connection = await platform.initializeConnection('user-123', 'video');
// 
// // Set up media streams
// const localStream = await navigator.mediaDevices.getUserMedia({
//   video: { width: 1920, height: 1080 },
//   audio: { echoCancellation: true, noiseSuppression: true }
// });
// 
// localStream.getTracks().forEach(track => {
//   connection.addTrack(track, localStream);
// });
// 
// // Monitor platform status
// setInterval(() => {
//   console.log('Platform Status:', platform.getPlatformStatus());
// }, 10000);