Sum-throughput maximization for UAV-aided energy-harvesting WBANs: Hovering altitude design, power control and time allocation

IF 7.5 2区 计算机科学 Q1 TELECOMMUNICATIONS Digital Communications and Networks Pub Date : 2024-12-01 DOI:10.1016/j.dcan.2022.12.021
Rongrong Zhang , Mengyu Li , Xinglong Li , Yong Guan , Cheng'an Zhao , Huan Qi , Changquan Qiu
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Abstract

UAV-aided energy-harvesting WBANs where sensor nodes can harvest RF energy transmitted by a UAV have attracted considerable attention. However, how to maximize the sum-throughput of the sensor nodes with cross-tier interferences from satellite and cellular systems has not been addressed. In order to bridge this gap, we devote this paper to developing two schemes with the fixed or variable duration of the energy-harvesting phase. Specifically, we formulate two non-convex optimization problems corresponding to the two schemes, and transform them to tractable subproblems, and accordingly two algorithms are proposed named HA-PC-TA and UAVPC-TA. In particular, we derive the closed-form optimum transmit power and time allocation for the sensor nodes and obtain the optimum UAV's hovering altitude in HA-PC-TA. We reveal the relationship between the optimum parameters and the allowed maximum transmit power of the VAU in UAVPC-TA. Finally, the simulations are conducted to validate the effectiveness of our proposed solutions.
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无人机辅助能量采集WBAN的总吞吐量最大化:悬停高度设计、功率控制和时间分配
无人机辅助能量收集wban,其中传感器节点可以收集由无人机传输的射频能量,已经引起了相当大的关注。然而,如何在卫星和蜂窝系统的交叉层干扰下使传感器节点的总吞吐量最大化还没有得到解决。为了弥补这一差距,本文致力于开发两种固定或可变能量收集阶段持续时间的方案。具体而言,我们将两种方案对应的两个非凸优化问题,转化为可处理的子问题,并提出了HA-PC-TA和UAVPC-TA两种算法。特别地,我们导出了传感器节点的闭式最优发射功率和时间分配,并得到了HA-PC-TA中无人机的最优悬停高度。我们揭示了UAVPC-TA中VAU的最佳参数与允许最大发射功率之间的关系。最后,通过仿真验证了所提方案的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Digital Communications and Networks
Digital Communications and Networks Computer Science-Hardware and Architecture
CiteScore
12.80
自引率
5.10%
发文量
915
审稿时长
30 weeks
期刊介绍: Digital Communications and Networks is a prestigious journal that emphasizes on communication systems and networks. We publish only top-notch original articles and authoritative reviews, which undergo rigorous peer-review. We are proud to announce that all our articles are fully Open Access and can be accessed on ScienceDirect. Our journal is recognized and indexed by eminent databases such as the Science Citation Index Expanded (SCIE) and Scopus. In addition to regular articles, we may also consider exceptional conference papers that have been significantly expanded. Furthermore, we periodically release special issues that focus on specific aspects of the field. In conclusion, Digital Communications and Networks is a leading journal that guarantees exceptional quality and accessibility for researchers and scholars in the field of communication systems and networks.
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