Joint Placement and Beamforming Design for IRS-Enhanced Multiuser MISO Systems
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所属单位：School of Computer Science and Information Engineering, Hefei University of Technology
发表刊物：IEEE Transactions on Commuincation
项目来源：the Fundamental ResearchFunds for the Central Universities of China under Grant JZ2021HGTB0081
关键字：Intelligent reflecting surfaces, joint placement and beamforming design, reflective beamforming, local region optimization.
摘要：The fundamental intelligent reflecting surface (IRS) deployment problem is studied for IRS-aided downlink multi-user communication system, where IRSs are arranged to be deployed in a specific area for enhancing the desired signal and suppressing interference. Specifically, we aim to maximize the minimum achievable rate over all locations in a specific area by jointly optimizing the transmit beamforming at the access point (AP) as well as the placement and reflective beamforming at the IRS. The formulated problem is non-convex and thus difficult to be solved directly. To draw essential insights, we first consider the single-user case and the optimal solution is derived in closed-form. The result shows that the optimal locations are in the connecting line between the AP and user, and the IRSs can be optimally deployed along the connecting line. Besides, a hybrid offline and online design scheme is developed for the multi-user case, where an area discretization strategy and deep neural network (DNN)-based curve fitting technique are proposed for optimizing the IRS locations in the offline manner. Then, an online iterative algorithm is presented to solve the transmit and received beamformig vectors, respectively. Numerical results show that the performance gain is increased by optimizing the IRS locations.
合写作者：Wenqi Ding,Yibo Yi,Yongming Huang
第一作者：Wei Huang
论文类型：期刊论文
通讯作者：Caihong Kai
学科门类：工学
文献类型：J
卷号：70
期号：10
页面范围：6678-6692
ISSN号：1558-0857
是否译文：否
发表时间：2022-08-08
收录刊物：SCI、EI