Adaptive Sidelink Sensing Schemes for V2X Power Efficiency
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently managing resource allocation for vehicle-to-everything (V2X) communications, particularly in scenarios where terminals are out of network coverage, leading to increased power consumption and suboptimal resource selection methods.
Innovation Solution
A method and device for resource allocation in wireless communication systems that allow terminals to select from preconfigured sensing schemes, including full sensing, partial sensing, and random resource selection, to optimize resource allocation for sidelink transmissions based on configuration information received from a base station.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If terminals perform full sensing for resource allocation in sidelink communications, then resource selection reliability is improved, but power consumption increases
Solution Approach 1:
The terminal dynamically adjusts the sensing scheme based on the coverage status of the first cell and second cell. When both cells are in-coverage, full sensing is performed for high reliability. When out-of-coverage conditions occur, the terminal switches to partial sensing or random selection to reduce power consumption, making the sensing behavior adaptive to changing network conditions.
Solution Approach 2:
The patent changes the sensing parameters (sensing depth, sensing duration, resource pool selection) based on the coverage status of serving cells. The terminal configures different sensing schemes with varying levels of aggressiveness and power consumption, selecting the appropriate parameter set based on whether terminals are in-coverage or out-of-coverage, thereby optimizing the trade-off between reliability and power usage.
2Use of energy by moving object
If terminals perform random resource selection without sensing, then power consumption is reduced, but resource allocation efficiency deteriorates
Solution Approach 1:
The terminal performs partial sensing instead of full sensing when appropriate, examining only a subset of resource pools or a limited time window rather than comprehensively evaluating all available resources. This partial action reduces power consumption while maintaining acceptable resource allocation efficiency by focusing sensing efforts on the most relevant resource opportunities.
3Device complexity
If terminals use preconfigured resource pools without selection, then device complexity is reduced, but adaptability to different coverage scenarios worsens
Solution Approach 1:
The patent segments the resource pools into different categories (first resource pool, second resource pool, third resource pool) with different configurations and characteristics. Each resource pool is associated with specific coverage scenarios, allowing the terminal to select the appropriate segment based on its current situation. This segmentation provides a balance between having predefined options (low complexity) and adapting to different scenarios (high adaptability).
Data Source
AI summary
The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. A method performed by a terminal in a communication system is provided, which includes receiving, from a base station, configuration information for a resource pool; identifying one or more preconfigured sensing schemes for the resource pool based on the configuration information, wherein the one or more preconfigured sensing schemes include full sensing, partial sensing, random resource selection, or a combination of two or more of the full sensing, the partial sensing, and the random resource selection; and selecting a sensing scheme for resource selection from among the one or more preconfigured sensing schemes.