Passive Beamforming and Information Transfer Design for Reconfigurable Intelligent Surfaces Aided Multiuser MIMO Systems

波束赋形 多输入多输出 计算机科学 信道状态信息 电信线路 频道(广播) 信息传递 消息传递 因子图 算法 双线性插值 数学优化 计算机工程 理论计算机科学 解码方法 无线 电信 分布式计算 数学 计算机视觉
作者
Wenjing Yan,Xiaojun Yuan,Zhen-Qing He,Xiaoyan Kuai
出处
期刊:IEEE Journal on Selected Areas in Communications [Institute of Electrical and Electronics Engineers]
卷期号:38 (8): 1793-1808 被引量:200
标识
DOI:10.1109/jsac.2020.3000811
摘要

This paper investigates the passive beamforming and information transfer (PBIT) technique for multiuser multiple-input multiple-output (Mu-MIMO) systems with the aid of reconfigurable intelligent surfaces (RISs), where the RISs enhance the primary communication via passive beamforming (P-BF) and at the same time deliver additional information by the on-off reflecting modulation (in which the RIS information is carried by the on/off state of each reflecting element). For the P-BF design, we propose to maximize the achievable user sum rate of the RIS-aided Mu-MIMO channel and formulate the problem as a two-step stochastic program. A sample average approximation (SAA) based iterative algorithm is developed for the efficient P-BF design of the considered scheme. To strike a balance between complexity and performance, we further propose a simplified P-BF algorithm by approximating the stochastic program as a deterministic alternating optimization problem. For the receiver design, the signal detection at the receiver is a bilinear estimation problem since the RIS information is multiplicatively modulated onto the reflected signals of the reflecting elements. To solve this bilinear estimation problem, we develop a turbo message passing (TMP) algorithm in which the factor graph associated with the problem is divided into two modules: one for the estimation of the user signals and the other for the estimation of the on-off state of each RIS element. The two modules are executed iteratively to yield a near-optimal low-complexity solution. Furthermore, we extend the design of the Mu-MIMO PBIT scheme from single-RIS to multi-RIS, by leveraging the similarity between the single-RIS and multi-RIS system models. Extensive simulation results are provided to demonstrate the advantages of our P-BF and receiver designs.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
科研通AI5应助WZ0904采纳,获得10
刚刚
叶未晞yi发布了新的文献求助10
1秒前
ipeakkka发布了新的文献求助10
2秒前
Jzhang应助迷人的映雁采纳,获得10
2秒前
2秒前
zzz完成签到,获得积分10
3秒前
3秒前
小安发布了新的文献求助10
3秒前
4秒前
叶未晞yi完成签到,获得积分10
6秒前
科研通AI5应助科研通管家采纳,获得10
6秒前
传奇3应助科研通管家采纳,获得10
6秒前
Akim应助科研通管家采纳,获得30
6秒前
科研通AI5应助科研通管家采纳,获得10
7秒前
kilig应助科研通管家采纳,获得10
7秒前
7秒前
华仔应助科研通管家采纳,获得30
7秒前
7秒前
科研通AI5应助科研通管家采纳,获得10
7秒前
博ge发布了新的文献求助10
9秒前
10秒前
葶儿发布了新的文献求助10
10秒前
hgcyp完成签到,获得积分10
15秒前
ysh完成签到,获得积分10
15秒前
15秒前
17秒前
17秒前
18秒前
wang完成签到,获得积分10
19秒前
Jzhang应助Yimim采纳,获得10
20秒前
沐风发布了新的文献求助20
21秒前
汉关发布了新的文献求助10
23秒前
23秒前
葶儿完成签到,获得积分10
23秒前
安详中蓝完成签到 ,获得积分10
24秒前
呆萌士晋发布了新的文献求助10
24秒前
24秒前
26秒前
呆头发布了新的文献求助10
28秒前
若水发布了新的文献求助200
29秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
Luis Lacasa - Sobre esto y aquello 700
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527990
求助须知:如何正确求助?哪些是违规求助? 3108173
关于积分的说明 9287913
捐赠科研通 2805882
什么是DOI,文献DOI怎么找? 1540119
邀请新用户注册赠送积分活动 716941
科研通“疑难数据库(出版商)”最低求助积分说明 709824