Movable Antennas Meet Intelligent Reflecting Surface: When Do We Need Movable Antennas?

Fuente: arXiv
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Main Authors: Wei, Xin, Mei, Weidong, Wu, Qingqing, Ning, Boyu, Chen, Zhi
Format: Preprint
Published: 2024
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_version_ 1866917765189730304
author Wei, Xin
Mei, Weidong
Wu, Qingqing
Ning, Boyu
Chen, Zhi
author_facet Wei, Xin
Mei, Weidong
Wu, Qingqing
Ning, Boyu
Chen, Zhi
contents Intelligent reflecting surface (IRS) and movable antenna (MA)/fluid antenna (FA) techniques have both received increasing attention in the realm of wireless communications due to their ability to reconfigure and improve wireless channel conditions. In this paper, we investigate the integration of MAs/FAs into an IRS-assisted wireless communication system. In particular, we consider the downlink transmission from a multi-MA base station (BS) to a single-antenna user with the aid of an IRS, aiming to maximize the user's received signal-to-noise ratio (SNR), by jointly optimizing the BS/IRS active/passive beamforming and the MAs' positions. Due to the similar capability of MAs and IRS for channel reconfiguration, we first conduct theoretical analyses of the performance gain of MAs over conventional fixed-position antennas (FPAs) under the line-of-sight (LoS) BS-IRS channel and derive the conditions under which the performance gain becomes more or less significant. Next, to solve the received SNR maximization problem, we propose an alternating optimization (AO) algorithm that decomposes it into two subproblems and solve them alternately. Numerical results are provided to validate our analytical results and evaluate the performance gains of MAs over FPAs under different setups.
format Preprint
id arxiv_https___arxiv_org_abs_2408_15668
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Movable Antennas Meet Intelligent Reflecting Surface: When Do We Need Movable Antennas?
Wei, Xin
Mei, Weidong
Wu, Qingqing
Ning, Boyu
Chen, Zhi
Information Theory
Signal Processing
Intelligent reflecting surface (IRS) and movable antenna (MA)/fluid antenna (FA) techniques have both received increasing attention in the realm of wireless communications due to their ability to reconfigure and improve wireless channel conditions. In this paper, we investigate the integration of MAs/FAs into an IRS-assisted wireless communication system. In particular, we consider the downlink transmission from a multi-MA base station (BS) to a single-antenna user with the aid of an IRS, aiming to maximize the user's received signal-to-noise ratio (SNR), by jointly optimizing the BS/IRS active/passive beamforming and the MAs' positions. Due to the similar capability of MAs and IRS for channel reconfiguration, we first conduct theoretical analyses of the performance gain of MAs over conventional fixed-position antennas (FPAs) under the line-of-sight (LoS) BS-IRS channel and derive the conditions under which the performance gain becomes more or less significant. Next, to solve the received SNR maximization problem, we propose an alternating optimization (AO) algorithm that decomposes it into two subproblems and solve them alternately. Numerical results are provided to validate our analytical results and evaluate the performance gains of MAs over FPAs under different setups.
title Movable Antennas Meet Intelligent Reflecting Surface: When Do We Need Movable Antennas?
topic Information Theory
Signal Processing
url https://arxiv.org/abs/2408.15668