Low-cost intelligent reflecting surface aided Terahertz multiuser massive MIMO: design and analysis

作     者：Guanghua YU Xiaoming CHEN Xiaodan SHAO Caijun ZHONG Guanghua YU;Xiaoming CHEN;Xiaodan SHAO;Caijun ZHONG

作者机构：College of Information Science and Electronic Engineering Zhejiang University 

出 版 物：《Science China(Information Sciences)》 (中国科学:信息科学(英文版))

年 卷 期：2021年第64卷第10期

页      面：73-87页

核心收录：

学科分类：0810[工学-信息与通信工程] 0808[工学-电气工程] 08[工学] 0804[工学-仪器科学与技术] 080402[工学-测试计量技术及仪器] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by National Key R&D Program of China (Grant No. 2020YFB1805703) National Natural Science Foundation of China (Grant No. 61871344) Zhejiang Provincial Natural Science Foundation of China (Grant No. LR20F010002) 

主　　题：THz communication IRS massive MIMO precoding error coverage enhancement 

摘      要：Terahertz(THz) multiuser massive multiple-input multiple-output(MIMO) has been envisioned as a promising technique to support massive connectivity in next-generation wireless networks. However,due to ultra-high frequency band, the path attenuation of THz channels is extremely severe, resulting in limited wireless coverage. In this paper, we propose an intelligent reflecting surface(IRS)-assisted THz multiuser massive MIMO technique to enhance coverage. First, we design an IRS-assisted THz communication framework with a low-cost sub-connected hybrid precoding architecture, including uplink data transmission and downlink data transmission. In particular, precoding errors due to the limitations of physical devices and environments are taken into consideration. Then, we derive the closed-form expressions for uplink and downlink spectral efficiencies, and reveal the impacts of system parameters. Finally, we conduct extensive simulations to verify the effectiveness of the proposed IRS-assisted THz multiuser massive MIMO technique.