Sidelink HARQ Feedback Resources for Low-Latency Reliability

The patent segments the PSFCH resource configuration from system-level to terminal-level. Each terminal device independently determines its own PSFCH resources based on feedback capacity and latency requirements, rather than using a unified system-level configuration. This segmentation reduces overall system overheads while maintaining reliable HARQ feedback for each terminal.

The patent introduces dynamic resource determination where terminal devices can flexibly select PSFCH resources based on their specific feedback capacity requirements and latency needs. The resources are dynamically allocated rather than statically configured at system level, allowing optimization of the reliability-overhead tradeoff for each terminal's specific conditions.

Each terminal device dynamically determines its PSFCH resources based on its specific latency requirements. Terminals with ultra-low latency needs can allocate resources more frequently, while others can use less frequent allocation. This dynamic approach allows the system to meet latency requirements for critical services without unnecessarily increasing overheads for all terminals.

The patent changes the parameter of PSFCH resource allocation from fixed system-level configuration to variable terminal-level configuration. Terminals can adjust their resource allocation parameters (timing, frequency) based on their specific latency requirements, enabling ultra-low latency service for critical terminals while maintaining lower overheads for others.

The patent segments the PSFCH resource allocation responsibility from system-level to terminal-level. Each terminal independently determines its own resource allocation frequency based on its specific latency requirements, rather than uniformly allocating resources for all terminals. This allows frequent allocation only where needed for ultra-low latency services, reducing overall system overheads.

The patent applies local quality by tailoring PSFCH resource allocation to each terminal's specific needs rather than applying a uniform system-wide policy. Terminals with ultra-low latency requirements receive more frequent resource allocation, while terminals with relaxed latency requirements receive less frequent allocation. This local optimization reduces total system overheads while satisfying critical latency requirements.