Resource Allocation for D2D Communication Latency Reduction
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Solution Overview
Problem
Current Device-to-Device (D2D) technologies face challenges in achieving low delays for transmitting service data, particularly in scenarios requiring real-time communication, such as vehicle warning systems, due to the lack of an effective resource allocation mechanism.
Innovation Solution
A resource allocation method that includes transmitting specific service data using Semi-persistent Schedule (SPS) resource information, preconfigured resource information, and transmission resource pool information, with conditions for resource activation and release based on vehicle proximity, speed, and location, to rapidly allocate radio resources for timely data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If traditional resource allocation mechanisms are used for D2D communication, then system capacity and coverage are maintained, but communication delays increase and real-time service requirements cannot be met
Solution Approach 1:
The patent applies preliminary action by pre-configuring resource pools and establishing resource allocation rules before D2D communication occurs. The base station pre-allocates resource pools for different service types (emergency, high-reliability, normal), and UEs are configured with selection criteria in advance. When D2D communication is needed, UEs can immediately select and use appropriate resources without waiting for dynamic allocation, thereby reducing communication delay while maintaining efficient data transmission.
2Productivity
If D2D communication is enabled for high data rate services, then data rate increases and network burden decreases, but resource allocation complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the D2D resource pool into multiple sub-pools based on service types (emergency services, high-reliability services, normal services). Each sub-pool has dedicated resources and specific allocation rules. This segmentation allows the system to support high data rates for different services simultaneously while simplifying resource allocation management, as each sub-pool can be independently managed with service-specific parameters and selection criteria.
3Productivity
If dynamic resource allocation is used for each D2D transmission, then resource utilization efficiency improves, but signaling overhead and allocation delay increase
Solution Approach 1:
The patent applies periodic action by implementing semi-persistent resource allocation where resource pools are allocated periodically for specific service types. Instead of dynamic allocation for every transmission, the base station configures periodic resource pools that UEs can reuse within their validity periods. This approach maintains good resource utilization efficiency through structured allocation while significantly reducing signaling overhead and allocation delay compared to pure dynamic allocation.
Data Source
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AI summary
A method and device for resource allocation. The method comprises: transmitting to a user equipment (UE) resource allocation information used for transmitting specific service data, where the resource allocation information comprises at least one among the following pieces of information: semi-persistent scheduling resource information, preconfigured resource information, and transmission resource pool information. The described technical solution allows the UE to rapidly acquire a radio resource for transmitting the specific service data and, compared with the prior art, greatly reduces communication latency.