Power wireless access power consumption optimization method and device for contention window cooperative adjustment
By building a power consumption model of a multi-access point transmission system and adjusting the competition window size using a deep Q learning algorithm, the problem of increased power consumption in a multi-access point transmission system is solved, and wireless access power consumption optimization is achieved under the guarantee of communication performance.
CN119767390APending Publication Date: 2025-04-04国网宁夏电力有限公司固原供电公司 +2
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Patent Information
- Application Number
- CN202411696226.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-25
- Publication Date
- 2025-04-04
AI Technical Summary
Technical Problem
On the basis of ensuring communication performance, how to reduce the power consumption of wireless access, especially in multi-access point transmission systems, the power consumption increases due to competition in frequency and time domains.
Method used
By building a power consumption model for a multi-access point transmission system, the power consumption impact parameters are determined, and the competition window size is adjusted using a deep Q learning algorithm to optimize wireless access power consumption.
Benefits of technology
On the basis of ensuring throughput, latency and access rate, it significantly reduces overall power consumption and improves reliable operation and control of the system.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention provides a power wireless access power consumption optimization method and device for contention window cooperative adjustment, and the method comprises the steps: constructing a power consumption model of a multi-access-point transmission system based on the sum of power consumption of all access points in the multi-access-point transmission system under a UORA process, determining power consumption influence parameters of the multi-access-point transmission system based on the power consumption model, and optimizing the power consumption of the multi-access-point transmission system based on the power consumption influence parameters. And adjusting the wireless access power consumption of the multi-access point transmission system in the subsequent transmission process based on the adjusted power consumption influence parameter. The transmission success probability of UORA in a multi-AP scene is analyzed by establishing a theoretical model, and the performance of a UORA mechanism is analyzed on the premise of considering time domain and frequency domain resource competition at the same time. According to the method, the power consumption influence parameter of the multi-access-point transmission system is determined based on the power consumption model, and the power consumption influence parameter is adjusted, so that the adjustment process of the wireless access power consumption of the multi-access-point transmission system is realized, and the overall power consumption can be reduced on the premise of ensuring reliable operation.
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