Journal
IEEE WIRELESS COMMUNICATIONS LETTERS
Volume 9, Issue 12, Pages 2035-2039Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LWC.2020.3011596
Keywords
Array signal processing; Signal to noise ratio; Optimization; Multicast communication; Downlink; Complexity theory; Wireless communication; Intelligent reflecting surface; passive beamforming; signal-to-noise ratio balancing
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Funding
- National Natural Science Foundation of China [61671364, 61941118]
- Outstanding Young Research Fund of Shaanxi Province [2018JC-003]
- Innovation Team Research Fund of Shaanxi Province [2019TD-013]
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In this letter, we design passive beamforming in an intelligent reflecting surface (IRS) assisted multiple-user wireless network. Two different scenarios are considered, namely, multicasting and multi-user downlink transmission. We optimize the passive beamforming vector of the IRS to maximize the smallest signal-to-noise ratio of the users in both scenarios. Based on the alternating direction method of multipliers algorithm, a low complexity method is designed to iteratively solve the established problem. In each iteration of the proposed method, the solution is in closed form, and thus the computation complexity is low. Numerical results are presented to show the efficiency of the proposed method.
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