Joint Design of Power Allocation and Beamforming for IRS-Assisted Millimeter-Wave Communication System With Imperfect CSI

IF 7.7 2区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

IEEE Transactions on Mobile Computing Pub Date : 2025-02-25 DOI:10.1109/TMC.2025.3545413

Xiangbin Yu;Chenghong Yang;Jiawei Bai;Kezhi Wang;Yun Rui;Xiaoyu Dang

{"title":"Joint Design of Power Allocation and Beamforming for IRS-Assisted Millimeter-Wave Communication System With Imperfect CSI","authors":"Xiangbin Yu;Chenghong Yang;Jiawei Bai;Kezhi Wang;Yun Rui;Xiaoyu Dang","doi":"10.1109/TMC.2025.3545413","DOIUrl":null,"url":null,"abstract":"In this paper, the joint power allocation (PA), passive beamforming (BF) and hybrid BF (HBF) including digital and analogue BFs are designed for an intelligent reflecting surface (IRS)-assisted millimeter-Wave (mmWave) communication system with imperfect channel state information (CSI) and multiple mobile users to optimize the weighted sum rate (WSR) and energy efficiency (EE). The achievable WSR and EE of the IRS-mmWave system are first derived based on imperfect cascaded CSI for performance optimization. Then, the non-convex constrained problem is formulated to maximize the WSR, where the PA, HBF, phase and amplitude of IRS elements are jointly optimized. Given PA and passive BF (PBF), closed-form suboptimal HBF is obtained for each iteration. Also, given HBF and PBF, using the block coordinate descent (BCD) methods, closed-form PA is derived. Moreover, the phase and amplitude of IRS elements are derived for PBF design during each iteration. With the obtained HBF, the digital and analogue BFs are also derived. Based on this, joint schemes of PA, HBF and PBF are developed. Besides, an efficient iterative algorithm based upon the alternating optimization (AO), weighted minimum mean-square error (WMMSE) and Dinkelbach methods are presented for EE maximization and the suboptimal solution is obtained. Correspondingly, the energy-efficient design for joint PA, HBF and PBF is provided. Simulation results verify the proposed solutions.","PeriodicalId":50389,"journal":{"name":"IEEE Transactions on Mobile Computing","volume":"24 7","pages":"6566-6582"},"PeriodicalIF":7.7000,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Mobile Computing","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10902605/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}

引用次数: 0

Abstract

In this paper, the joint power allocation (PA), passive beamforming (BF) and hybrid BF (HBF) including digital and analogue BFs are designed for an intelligent reflecting surface (IRS)-assisted millimeter-Wave (mmWave) communication system with imperfect channel state information (CSI) and multiple mobile users to optimize the weighted sum rate (WSR) and energy efficiency (EE). The achievable WSR and EE of the IRS-mmWave system are first derived based on imperfect cascaded CSI for performance optimization. Then, the non-convex constrained problem is formulated to maximize the WSR, where the PA, HBF, phase and amplitude of IRS elements are jointly optimized. Given PA and passive BF (PBF), closed-form suboptimal HBF is obtained for each iteration. Also, given HBF and PBF, using the block coordinate descent (BCD) methods, closed-form PA is derived. Moreover, the phase and amplitude of IRS elements are derived for PBF design during each iteration. With the obtained HBF, the digital and analogue BFs are also derived. Based on this, joint schemes of PA, HBF and PBF are developed. Besides, an efficient iterative algorithm based upon the alternating optimization (AO), weighted minimum mean-square error (WMMSE) and Dinkelbach methods are presented for EE maximization and the suboptimal solution is obtained. Correspondingly, the energy-efficient design for joint PA, HBF and PBF is provided. Simulation results verify the proposed solutions.

查看原文本刊更多论文

不完全CSI下红外辅助毫米波通信系统的功率分配与波束形成联合设计

针对不完全信道状态信息（CSI）和多个移动用户的智能反射面辅助毫米波通信系统，设计了联合功率分配（PA）、无源波束形成（BF）和混合波束形成（HBF），包括数字波束形成和模拟波束形成，以优化加权和速率（WSR）和能效（EE）。首先推导了irs -毫米波系统可实现的WSR和EE，并基于非完美级联CSI进行了性能优化。然后，建立非凸约束问题，以最大WSR为目标，对IRS单元的PA、HBF、相位和振幅进行联合优化。在给定PA和被动BF （PBF）的情况下，每次迭代得到封闭形式的次优BF。同时，在给定HBF和PBF的情况下，利用块坐标下降（BCD）方法，推导出闭合形式的PA。此外，在每次迭代过程中，推导出了用于PBF设计的IRS单元相位和幅值。利用所得的HBF，推导了数字和模拟bf。在此基础上，提出了PA、HBF和PBF的联合方案。在此基础上，提出了一种基于交替优化（AO）、加权最小均方误差（WMMSE）和Dinkelbach方法的高效迭代算法，实现了EE的最大化，并得到了次优解。相应地，给出了PA、HBF和PBF联合的节能设计。仿真结果验证了所提出的解决方案。

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

IEEE Transactions on Mobile Computing 工程技术-电信学

CiteScore

12.90

自引率

2.50%

发文量

403

审稿时长

6.6 months

期刊介绍： IEEE Transactions on Mobile Computing addresses key technical issues related to various aspects of mobile computing. This includes (a) architectures, (b) support services, (c) algorithm/protocol design and analysis, (d) mobile environments, (e) mobile communication systems, (f) applications, and (g) emerging technologies. Topics of interest span a wide range, covering aspects like mobile networks and hosts, mobility management, multimedia, operating system support, power management, online and mobile environments, security, scalability, reliability, and emerging technologies such as wearable computers, body area networks, and wireless sensor networks. The journal serves as a comprehensive platform for advancements in mobile computing research.