Sum Rate Maximization for UAV Assisted NOMA Backscatter Communication System

Xueqing Gan, Yuke Jiang, Yufan Wang, Duan Hong, Zheng-qiang Wang
{"title":"Sum Rate Maximization for UAV Assisted NOMA Backscatter Communication System","authors":"Xueqing Gan, Yuke Jiang, Yufan Wang, Duan Hong, Zheng-qiang Wang","doi":"10.1109/WCCCT56755.2023.10052259","DOIUrl":null,"url":null,"abstract":"In this paper, we study a sum-rate maximization resource allocation algorithm for an unmanned aerial vehicle (UAV) assisted non-orthogonal multiple access (NOMA) backscatter communication system. Considering the energy collection time, gateway amplification factor, and UAV position constraints, sum rate maximization resource allocation model is established. Since the proposed problem is a non-convex problem that is difficult to solve directly, the original problem is decomposed into three subproblems using block coordinate descent (BCD) method to design efficient iterative algorithm to achieve the final sum-rate maximization. Simulation results show that the algorithm has better performance than the benchmark algorithms.","PeriodicalId":112978,"journal":{"name":"2023 6th World Conference on Computing and Communication Technologies (WCCCT)","volume":"129 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 6th World Conference on Computing and Communication Technologies (WCCCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCCCT56755.2023.10052259","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

In this paper, we study a sum-rate maximization resource allocation algorithm for an unmanned aerial vehicle (UAV) assisted non-orthogonal multiple access (NOMA) backscatter communication system. Considering the energy collection time, gateway amplification factor, and UAV position constraints, sum rate maximization resource allocation model is established. Since the proposed problem is a non-convex problem that is difficult to solve directly, the original problem is decomposed into three subproblems using block coordinate descent (BCD) method to design efficient iterative algorithm to achieve the final sum-rate maximization. Simulation results show that the algorithm has better performance than the benchmark algorithms.
无人机辅助NOMA反向散射通信系统的和速率最大化
研究了一种用于无人机辅助非正交多址(NOMA)反向散射通信系统的和速率最大化资源分配算法。考虑能量收集时间、网关放大因子和无人机位置约束,建立了和率最大化的资源分配模型。由于所提问题是一个难以直接求解的非凸问题,采用分块坐标下降法(BCD)将原问题分解为三个子问题,设计高效的迭代算法以实现最终的和率最大化。仿真结果表明,该算法比基准算法具有更好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信