D2D Resource Collision Avoidance via SA Decoding and Selective Sensing
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Solution Overview
Problem
In 5G communication systems, device-to-device (D2D) communication faces challenges in resource collision avoidance, particularly in vehicle-to-everything (V2X) communications, where high density of vehicles leads to increased collision probability, affecting latency and throughput.
Innovation Solution
The method involves a vehicle user equipment (UE) performing channel sensing by receiving scheduling assignment information, decoding it to identify available resources, and skipping channel sensing on subframes used by other UEs, thereby avoiding resource collisions through energy sensing and congestion level management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If device-to-device communication is implemented in high-density vehicle networks, then communication coverage and connectivity are improved, but resource collision probability increases
Solution Approach 1:
The system performs preliminary channel sensing and scheduling assignment decoding before actual data transmission. UEs decode SA information from other UEs to identify their transmission resources in advance, and perform energy sensing to detect additional potential transmissions. This preliminary action allows the system to identify and avoid resource collisions before they occur, resolving the contradiction between maintaining high connectivity and reducing collision probability.
2Measurement precision
If channel sensing operations are performed on all subframes, then resource collision detection accuracy is improved, but communication latency increases
Solution Approach 1:
The system applies different sensing strategies to different subframes based on local conditions. Channel sensing is performed on subframes where collisions are likely (identified through SA decoding), while skipping sensing on subframes where resources are already determined to be available. This localized approach maintains high detection accuracy for critical subframes while reducing overall latency by avoiding unnecessary sensing operations on other subframes.
3Manufacturing precision
If energy sensing operations are performed to identify available resources, then resource allocation accuracy is improved, but system complexity increases
Solution Approach 1:
The system performs energy sensing selectively rather than comprehensively on all resources. UE decode SA information to identify resources already allocated to other UEs, then perform energy sensing only on remaining resources to detect additional potential transmissions. This partial action approach achieves sufficient resource allocation accuracy by focusing sensing efforts where needed, while reducing system complexity by avoiding exhaustive sensing of all possible resources.
Data Source
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AI summary
The present disclosure relates to a pre-5th-Generation (5G) or 5G communication system to be provided for supporting higher data rates Beyond 4th-Generation (4G) communication system such as Long Term Evolution (LTE). An apparatus and a method of a first user equipment (UE) in a wireless communication network. The apparatus comprising a transceiver; and at least one processor operably coupled to the transceiver, and configured to receive, from a base station, control information including information of reserved resources, perform a power sensing operation on subframes except for at least one subframe in which a transmission from the first UE occurs, determine available resources by excluding the reserved resources and at least one subframe with sensed power higher than a threshold, perform a transmission from the first UE on the available resources.