Subchannel List Updates for Real-Time V2X Resource Selection
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Solution Overview
Problem
In Mode 2 (NR-V2X) and Mode 4 (LTE-V2X) communication, the resource selection process consumes significant CPU cycles and may miss hard real-time timelines due to the processing of entire sensing information at the time of resource selection trigger.
Innovation Solution
A communication device stores a subchannel list with RX RSRP and bitmap, receives sensing information, and updates the list to autonomously select resources by processing only the necessary information, reducing CPU load and ensuring timely resource selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the entire sensing information is processed at the time of resource selection trigger, then the resource selection can be made based on complete information, but the resource selection consumes significant CPU cycles and may miss hard real-time timelines
Solution Approach 1:
The patent applies preliminary action by pre-processing and storing sensing information in a compressed format (subchannel list with RSRP and bitmap) before the resource selection trigger occurs. This allows the system to have sensing information ready in advance, eliminating the need to process entire sensing information at the trigger moment, thus meeting real-time deadlines while maintaining selection accuracy.
2Reliability
If the entire sensing information is processed at the time of resource selection trigger, then comprehensive resource evaluation can be performed, but the CPU cycles required increase significantly
Solution Approach 1:
The patent extracts only the essential elements from the complete sensing information, storing them in a compact subchannel list format that contains RSRP values and bitmap representations. This extraction approach maintains the reliability needed for accurate resource selection while dramatically reducing the CPU cycles required for processing, as only the extracted essential data needs to be evaluated at resource selection time.
3Productivity
If sensing information is processed in advance and stored in compressed format, then CPU cycles are reduced and real-time deadlines are met, but the processing complexity of the storage structure increases
Solution Approach 1:
The patent changes the parameters of sensing information representation by transforming detailed sensing data into a standardized format with specific parameters (RSRP values and bitmaps). This parameter transformation enables efficient storage and rapid retrieval, improving resource selection speed while the standardized nature of the transformed parameters actually reduces processing complexity compared to handling raw sensing information.
Data Source
AI summary
An embodiment of the invention provides a communication device comprising at least one storage device and at least one processing circuit. The at least one storage device is configured to store instructions, and the at least one processing circuit is configured to execute the instructions to: store a subchannel list for a slot in a selection window or a future reception (RX) window, wherein the subchannel list comprises a RX reference signal received power (RSRP) and a bitmap; receive at least one sensing information for the slot from other communication device; and update the RX RSRP and the bitmap according to the at least one sensing information.