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Energy-Efficient Resource Allocation and Antenna Selection for IRS-Assisted Multicell Downlink Networks | IEEE Journals & Magazine | IEEE Xplore

Energy-Efficient Resource Allocation and Antenna Selection for IRS-Assisted Multicell Downlink Networks


Abstract:

This letter considers a network-assisted intelligent reflecting surface (IRS) technology. We aim to adopt an energy-efficient strategy via an antenna selection (AS) frame...Show More

Abstract:

This letter considers a network-assisted intelligent reflecting surface (IRS) technology. We aim to adopt an energy-efficient strategy via an antenna selection (AS) framework that determines which base station (BS) antennas transmit the data to the user equipment. In particular, we select the best set of antennas to increase energy efficiency (EE) while reducing power consumption. Also, the network takes advantage of the IRS system to increase the coverage and overall throughput of the network. We first propose an efficient algorithm for the considered scenario based on the successive convex approximation (SCA). Then we employ the Dinkelbach method that jointly selects the best set of antennas and optimizes their beamforming. Second, by introducing the slack variable and SCA method, we propose a tight approximation to solve the passive beamforming at the IRS. Simulation results unveil the performance of the proposed method and its influence on the power consumption at each antenna’s RF chain.
Published in: IEEE Wireless Communications Letters ( Volume: 11, Issue: 6, June 2022)
Page(s): 1229 - 1233
Date of Publication: 22 March 2022

ISSN Information:


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