Differentiated Neighbor List for QoS Optimization

The patent segments the unified neighbor list into multiple differentiated neighbor lists, each tailored to specific service types (e.g., massive IoT, UAVs, critical communications). This segmentation allows each service type to have optimized neighbor selection criteria, improving QoS reliability without requiring complete system redesign, as each segment can be managed independently based on its specific requirements.

The patent applies local quality by creating neighbor lists with service-specific characteristics and optimization criteria. Each differentiated neighbor list contains neighbors selected and weighted according to the particular requirements of that service type (e.g., latency-critical for UAVs, connectivity density for massive IoT), allowing localized optimization without affecting other service types.

The patent implements self-service mechanisms where the system automatically generates, updates, and manages differentiated neighbor lists based on service type identification. The network infrastructure autonomously performs the complex tasks of neighbor selection, filtering, and optimization for each service type without requiring manual intervention, thereby maintaining ease of operation despite the increased differentiation.

The patent applies preliminary action by pre-generating and storing differentiated neighbor lists for various service types before actual handover or reselection events occur. This allows the system to have optimized neighbor lists ready in advance for different service scenarios, reducing real-time processing complexity during critical handover moments while maintaining high QoS.

The patent implements periodic action by updating differentiated neighbor lists at predetermined intervals or triggered by specific events (e.g., service type changes, mobility events) rather than continuously. This periodic update mechanism maintains adaptability to different service types while reducing unnecessary processing time and network overhead by avoiding constant updates when service requirements remain stable.

The patent applies dynamics by making the neighbor list structure and update frequency adaptive to the specific service type and current network conditions. Different service types can have different update dynamics (e.g., more frequent updates for mobile UAVs, less frequent for stationary IoT devices), allowing the system to balance adaptability with processing efficiency based on actual service requirements rather than using a fixed update schedule for all services.