Weighted Sum-Rate Maximization for Movable Antenna-Enhanced Wireless Networks

This letter investigates the weighted sum rate maximization problem in movable antenna (MA)-enhanced systems. To reduce the computational complexity, we transform it into a more tractable weighted minimum mean square error (WMMSE) problem well-suited for MA. We then adopt the WMMSE algorithm and maj...

Full description

Saved in:
Bibliographic Details
Published inIEEE wireless communications letters Vol. 13; no. 6; pp. 1770 - 1774
Main Authors Feng, Biqian, Wu, Yongpeng, Xia, Xiang-Gen, Xiao, Chengshan
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 01.06.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Adaptive arrays
Algorithms
Antennas
Beamforming
Complexity
Computational complexity
Maximization
MIMO communication
Movable antenna
Optimization
planar movement mode
Radio frequency
Transmitting antennas
Vectors
weighted sum rate maximization
Wireless networks
Online AccessGet full text

Cover

More Information
Summary:This letter investigates the weighted sum rate maximization problem in movable antenna (MA)-enhanced systems. To reduce the computational complexity, we transform it into a more tractable weighted minimum mean square error (WMMSE) problem well-suited for MA. We then adopt the WMMSE algorithm and majorization-minimization algorithm to optimize the beamforming and antenna positions, respectively. Moreover, we propose a planar movement mode, which constrains each MA to a specified area, we obtain a low-complexity closed-form solution. Numerical results demonstrate that the MA-enhanced system outperforms the conventional system. Besides, the computation time for the planar movement mode is reduced by approximately 30% at a little performance expense.
ISSN:2162-2337
2162-2345
DOI:10.1109/LWC.2024.3390428