Statistical CSI based design for intelligent reflecting surface assisted MISO systems
Statistical CSI based design for intelligent reflecting surface assisted MISO systems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：2020年第63卷第12期
页 面：211-220页
核心收录：
学科分类：0810[工学-信息与通信工程] 08[工学] 081001[工学-通信与信息系统]
基 金：supported by National Key R&D Program of China (Grant No. 2019YFB1803400) the NSFC-Zhejiang Joint Fund for the Integration of Industrialization and Informatization (Grant No. U1709219) National Natural Science Foundation of China (Grant No. 61922071)
主 题：beamforming IRS MISO statistical CSI ergodic capacity
摘 要：This paper considers an intelligent reflecting surface(IRS) aided multiple-input single-output communication system, where statistical channel state information(CSI) is exploited for transmit beamforming and IRS beamforming. A tight upper bound is derived for the ergodic capacity of the system. Based on which, the joint optimization of transmit beam and IRS beam are studied. Depending on whether a line-of-sight path exists between the access point and user, two different cases, namely, Rician fading and Rayleigh fading, are separately treated. Specifically, for the Rician fading case, an iterative algorithm is proposed, which is guaranteed to converge. For the Rayleigh fading case, closed-form designs are obtained for the transmit beam and IRS beam. Simulation results show the proposed beamforming scheme achieves similar performance as the benchmark algorithm requiring instantaneous CSI.
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