反向散射节点差异化的UAV位置与波束联合优化方法

By calculating the priority weight of each tag and performing joint optimization of UAV position and beam, the problems of low resource utilization efficiency and insufficient information timeliness in UAV-assisted backscatter communication systems are solved, realizing the priority transmission of high-value data and improving system performance.

CN122160733BActive Publication Date: 2026-07-17NANJING UNIV OF POSTS & TELECOMM

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
NANJING UNIV OF POSTS & TELECOMM
Filing Date
2026-05-08
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing UAV-assisted backscatter communication systems ignore tag differences during resource allocation and channel optimization, resulting in low resource utilization efficiency, high latency for some tags, and insufficient timeliness of system information, making it difficult to meet differentiated service quality requirements.

Method used

By executing steps S1 to S4 using computer equipment, the priority weight of each tag is calculated and the joint optimization of UAV position and beam is performed. The block coordinate descent method is used to iteratively solve the receiving beam, transmitting beam and hovering position, optimize the system weighted channel capacity, and dynamically adjust resource allocation to meet the transmission needs of high-value data.

Benefits of technology

It improves system resource utilization efficiency, reduces tag data transmission latency, enhances system information freshness and communication performance, and is suitable for backscatter IoT scenarios of different scales.

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Abstract

本发明公开了一种反向散射节点(Tag)差异化的UAV位置与波束联合优化方法,包括:无人机在其当前悬停位置接收各Tag上传的数据序列,并从中提取缓存状态信息;结合各Tag缓存状态信息中的缓存数据量以及最大反向散射通信速率,计算每个Tag的优先级权重;基于每个Tag的优先级权重,以最大化系统加权信道容量为目标,对所述无人机的接收波束、发送波束以及悬停位置进行联合优化;无人机使用优化后的发送波束激活各Tag,并接收各Tag通过反向散射方式上传的环境感知数据。本发明能够感知并利用不同Tag的差异化需求,提升资源分配合理性与系统整体效能,有效降低高权重Tag的数据传输时延,并改善系统信息新鲜度性能。
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