Optimization of Downlink Power Allocation in NOMA-OTFS Based Cross-Domain Vehicular Networks

Hao Xu, Zhiquan Bai, Jinqiu Zhao, Dejie Ma, Bangwei He, Kyungsup Kwak
{"title":"Optimization of Downlink Power Allocation in NOMA-OTFS Based Cross-Domain Vehicular Networks","authors":"Hao Xu, Zhiquan Bai, Jinqiu Zhao, Dejie Ma, Bangwei He, Kyungsup Kwak","doi":"10.23919/ICACT60172.2024.10471949","DOIUrl":null,"url":null,"abstract":"Orthogonal time frequency space (OTFS) and non-orthogonal multiple access (NOMA) are pivotal for enhancing the transmission performance of vehicular communications. This paper delves into the downlink power allocation of a NOMA-OTFS system with a frequency domain linear equalizer (FD-LE), where a high-speed user in delay-Doppler domain and multiple low-speed time-frequency domain NOMA users coexist. Considering the fairness of NOMA users, we optimize the minimum rate of the low-speed users, constrained by the quality of service (QoS) of the high-speed user. To address this problem, we propose an iterative power allocation optimization (IP-AO) strategy and obtain an accurate optimal solution based on the auxiliary variables by transforming the original non-convex problem into a convex one. Moreover, we derive a closed-form solution for the optimal power allocation (OPA). Simulation results validate the superiority of our schemes over traditional power allocation methods in maximizing the minimum user rate in the NOMA-OTFS vehicular system.","PeriodicalId":518077,"journal":{"name":"2024 26th International Conference on Advanced Communications Technology (ICACT)","volume":"32 2","pages":"01-06"},"PeriodicalIF":0.0000,"publicationDate":"2024-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2024 26th International Conference on Advanced Communications Technology (ICACT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ICACT60172.2024.10471949","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Orthogonal time frequency space (OTFS) and non-orthogonal multiple access (NOMA) are pivotal for enhancing the transmission performance of vehicular communications. This paper delves into the downlink power allocation of a NOMA-OTFS system with a frequency domain linear equalizer (FD-LE), where a high-speed user in delay-Doppler domain and multiple low-speed time-frequency domain NOMA users coexist. Considering the fairness of NOMA users, we optimize the minimum rate of the low-speed users, constrained by the quality of service (QoS) of the high-speed user. To address this problem, we propose an iterative power allocation optimization (IP-AO) strategy and obtain an accurate optimal solution based on the auxiliary variables by transforming the original non-convex problem into a convex one. Moreover, we derive a closed-form solution for the optimal power allocation (OPA). Simulation results validate the superiority of our schemes over traditional power allocation methods in maximizing the minimum user rate in the NOMA-OTFS vehicular system.
基于 NOMA-OTFS 的跨域车载网络中的下行链路功率分配优化
正交时频空间(OTFS)和非正交多址(NOMA)对提高车载通信的传输性能至关重要。本文深入研究了带有频域线性均衡器(FD-LE)的 NOMA-OTFS 系统的下行链路功率分配,在该系统中,一个延迟多普勒域的高速用户和多个低速时频域 NOMA 用户共存。考虑到 NOMA 用户的公平性,我们优化了低速用户的最低速率,但受制于高速用户的服务质量(QoS)。为解决这一问题,我们提出了迭代功率分配优化(IP-AO)策略,并通过将原始非凸问题转化为凸问题,获得了基于辅助变量的精确最优解。此外,我们还推导出了最优功率分配 (OPA) 的闭式解。仿真结果验证了我们的方案在最大化 NOMA-OTFS 车辆系统的最小用户速率方面优于传统的功率分配方法。
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