An effective capacity optimization method for unmanned aerial vehicle assisted wireless power supply communication system

CN116709377BActive Publication Date: 2026-07-24CHONGQING UNIV OF POSTS & TELECOMM
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHONGQING UNIV OF POSTS & TELECOMM
Filing Date
2023-04-18
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

In existing UAV-assisted wireless power supply communication systems, the limited capacity of node buffer queues leads to data packet backlog or loss of important services, resulting in low resource utilization and insufficient consideration of the impact of service latency on data transmission.

Method used

By jointly optimizing the 3D deployment location of UAVs, wireless power transmission time, and information transmission time, a wireless power supply and communication system model under quality of service constraints is constructed. Half-duplex mode and probabilistic line-of-sight and non-probabilistic line-of-sight links are used for modeling. Continuous convex optimization techniques are used to approximate the non-convex optimization problem into a convex optimization problem, and the effective capacity of the system is maximized.

Benefits of technology

It effectively reduced the impact of service latency on data transmission, prevented data packet loss, improved system resource utilization, and ensured the timely transmission of important services.

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Abstract

The present application relates to a kind of unmanned aerial vehicle assisted wireless power supply communication system effective capacity optimization method, belong to wireless communication field.The method is: first, establish single unmanned aerial vehicle to ground sensor node wireless energy transmission service, provide energy for node;Second, in order to meet the quality of service of different nodes needs, study the influence of each node wireless information transmission time on effective capacity;Finally, by joint optimization deployment unmanned aerial vehicle 3D flight position, unmanned aerial vehicle wireless energy transmission time and node wireless information transmission time to maximize the sum of the effective capacity of node.The present application can solve the problem of sensor node energy limited, and prevent the loss of node data buffer important service, to improve the effective utilization of resources.
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