V2X Terminal Resource Allocation via Dynamic Sensing Periods
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Solution Overview
Problem
Current wireless communication systems face challenges in efficiently managing resource allocation and battery life for terminals, particularly in scenarios where terminals have varying power levels and service priorities, which affects data transmission reliability and efficiency.
Innovation Solution
A method where terminals and base stations dynamically adjust resource allocation based on remaining power levels, allowing terminals with low power to use shorter sensing periods and prioritize data transmission opportunities, while those with higher power levels can use longer sensing periods or random selection schemes, optimizing resource usage and battery life.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If terminals with low power levels use standard sensing periods, then sensing accuracy is maintained, but battery life is depleted faster
Solution Approach 1:
The sensing period is made dynamic rather than fixed, allowing terminals to adjust the duration based on their remaining power levels. Terminals with low power use shorter sensing periods while those with sufficient power use standard periods, optimizing the balance between sensing accuracy and energy conservation
Solution Approach 2:
The sensing period parameter is changed based on the terminal's power state. The system modifies the time duration parameter of the sensing operation according to remaining power levels, transforming a static parameter into a variable one that adapts to terminal conditions
2Device complexity
If resource allocation is standardized for all terminals, then system simplicity is maintained, but transmission reliability for low-power terminals deteriorates
Solution Approach 1:
Resource allocation is customized locally for each terminal based on its power level rather than applying a uniform standard. Low-power terminals receive prioritized resource allocation with shorter sensing periods, while other terminals use standard allocation, creating localized optimizations without complete system redesign
Solution Approach 2:
The terminal population is segmented into different groups based on power levels, with low-power terminals receiving specialized resource allocation. This segmentation allows differentiated treatment that improves reliability for vulnerable terminals while maintaining overall system organization
3Measurement precision
If terminals perform continuous sensing, then resource selection accuracy is improved, but energy consumption increases
Solution Approach 1:
Instead of requiring full continuous sensing for all terminals, the system applies partial sensing action proportional to power availability. Low-power terminals perform reduced sensing with shorter durations, accepting some reduction in selection accuracy to prevent excessive energy loss
Solution Approach 2:
Sensing is performed periodically rather than continuously, with the period duration adjusted based on power levels. This allows terminals to conserve energy by sensing only at intervals rather than maintaining constant sensing operations
Data Source
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AI summary
The present disclosure relates to a communication technique for converging IoT technology with a 5G communication system for supporting a higher data transmission rate beyond a 4G system, and a system therefor. The present disclosure may be applied to an intelligent service on the basis of 5G communication technology and IoT-related technology. In addition, a method of a terminal in a wireless communication system, the method comprising: receiving, from a base station, a radio resource control, RRC, message including information on a normal resource pool for transmitting a V2X message; receiving, from the base station, information on an exceptional resource pool; selecting a resource, for transmitting the V2X message, from the normal resource pool or the exceptional resource pool based on a sensing result on the normal resource pool; and transmitting the V2X message based on the resource selected from the normal resource pool or the exceptional resource pool.