Over-the-Air Computation via 2D Movable Antenna Array

Fuente: arXiv
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Main Authors: Li, Nianzu, Wu, Peiran, Ning, Boyu, Zhu, Lipeng, Mei, Weidong
Format: Preprint
Published: 2024
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author Li, Nianzu
Wu, Peiran
Ning, Boyu
Zhu, Lipeng
Mei, Weidong
author_facet Li, Nianzu
Wu, Peiran
Ning, Boyu
Zhu, Lipeng
Mei, Weidong
contents Movable antenna (MA) has emerged as a promising technology for improving the performance of wireless communication systems, which enables local movement of the antennas to create more favorable channel conditions. In this letter, we advance its application for over-the-air computation (AirComp) network, where an access point is equipped with a two-dimensional (2D) MA array to aggregate wireless data from massive users. We aim to minimize the computation mean square error (CMSE) by jointly optimizing the antenna position vector (APV), the receive combining vector at the access point and the transmit coefficients from all users. To tackle this highly non-convex problem, we propose a two-loop iterative algorithm, where the particle swarm optimization (PSO) approach is leveraged to obtain a suboptimal APV in the outer loop while the receive combining vector and transmit coefficients are alternately optimized in the inner loop. Numerical results demonstrate that the proposed MA-enhanced AirComp network outperforms the conventional network with fixed-position antennas (FPAs).
format Preprint
id arxiv_https___arxiv_org_abs_2409_10351
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Over-the-Air Computation via 2D Movable Antenna Array
Li, Nianzu
Wu, Peiran
Ning, Boyu
Zhu, Lipeng
Mei, Weidong
Signal Processing
Movable antenna (MA) has emerged as a promising technology for improving the performance of wireless communication systems, which enables local movement of the antennas to create more favorable channel conditions. In this letter, we advance its application for over-the-air computation (AirComp) network, where an access point is equipped with a two-dimensional (2D) MA array to aggregate wireless data from massive users. We aim to minimize the computation mean square error (CMSE) by jointly optimizing the antenna position vector (APV), the receive combining vector at the access point and the transmit coefficients from all users. To tackle this highly non-convex problem, we propose a two-loop iterative algorithm, where the particle swarm optimization (PSO) approach is leveraged to obtain a suboptimal APV in the outer loop while the receive combining vector and transmit coefficients are alternately optimized in the inner loop. Numerical results demonstrate that the proposed MA-enhanced AirComp network outperforms the conventional network with fixed-position antennas (FPAs).
title Over-the-Air Computation via 2D Movable Antenna Array
topic Signal Processing
url https://arxiv.org/abs/2409.10351