Movable Antenna-Enhanced Multiuser Communication: Jointly Optimal Discrete Antenna Positioning and Beamforming

Wu Y, Xu D, Ng DWK, Gerstacker W, Schober R (2023)

Publication Type: Conference contribution

Publication year: 2023

Journal

2016 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM)

Publisher: Institute of Electrical and Electronics Engineers Inc.

Pages Range: 7508-7513

Conference Proceedings Title: Proceedings - IEEE Global Communications Conference, GLOBECOM

Event location: Kuala Lumpur MY

ISBN: 9798350310900

DOI: 10.1109/GLOBECOM54140.2023.10437926

Abstract

Movable antennas (MAs) are a promising paradigm to enhance the spatial degrees of freedom of conventional multi-antenna systems by flexibly adapting the positions of the antenna elements within a given transmit area. In this paper, we model the motion of the MA elements as discrete movements and study the corresponding resource allocation problem for MA-enabled multiuser multiple-input single-output (MISO) communication systems. Specifically, we jointly optimize the beamforming and the MA positions at the base station (BS) for the minimization of the total transmit power while guaranteeing the minimum required signal-to-interference-plus-noise ratio (SINR) of each individual user. To obtain the globally optimal solution to the formulated resource allocation problem, we develop an iterative algorithm capitalizing on the generalized Bender's decomposition with guaranteed convergence. Our numerical results demonstrate that the proposed MA-enabled communication system can significantly reduce the BS transmit power and the number of antenna elements needed to achieve a desired performance compared to state-of-the-art techniques, such as antenna selection. Furthermore, we observe that refining the step size of the MA motion driver improves performance at the expense of a higher computational complexity.

Authors with CRIS profile

Yifei Wu Lehrstuhl für Digitale Übertragung (IDC) Wolfgang Gerstacker Lehrstuhl für Digitale Übertragung (IDC) Robert Schober Lehrstuhl für Digitale Übertragung (IDC)

Involved external institutions

University of New South Wales (UNSW) AU Australia (AU) Hong Kong University of Science and Technology (HKUST) / 香港科技大學 CN China (CN)

How to cite

APA:

Wu, Y., Xu, D., Ng, D.W.K., Gerstacker, W., & Schober, R. (2023). Movable Antenna-Enhanced Multiuser Communication: Jointly Optimal Discrete Antenna Positioning and Beamforming. In Proceedings - IEEE Global Communications Conference, GLOBECOM (pp. 7508-7513). Kuala Lumpur, MY: Institute of Electrical and Electronics Engineers Inc..

MLA:

Wu, Yifei, et al. "Movable Antenna-Enhanced Multiuser Communication: Jointly Optimal Discrete Antenna Positioning and Beamforming." Proceedings of the 2023 IEEE Global Communications Conference, GLOBECOM 2023, Kuala Lumpur Institute of Electrical and Electronics Engineers Inc., 2023. 7508-7513.

BibTeX: Download