Movable-Antenna Enhanced Multiuser Communication via Antenna Position Optimization
By Lipeng Zhu, Wenyan Ma, Boyu Ning, Rui Zhang. IEEE Transactions on Wireless Communications, 2023
417 citations recorded by the source corpus.
Movable antenna (MA) is a promising technology to improve wireless communication performance by varying the antenna position in a given finite area at the transceivers to create more favorable channel conditions. In this paper, we investigate the MA-enhanced multiple-access channel (MAC) for the uplink transmission from multiple users each equipped with a single MA to a base station (BS) with a fixed-position antenna (FPA) array. A field-response based channel model is used to characterize the multi-path channel between the antenna array of the BS and each user’s MA with a flexible position. To evaluate the MAC performance gain provided by MAs, we formulate an optimization problem for minimizing the total transmit power of users, subject to a minimum-achievable-rate requirement for each user, where the positions of MAs and the transmit powers of users, as well as the receive combining matrix of the BS are jointly optimized. To solve this non-convex optimization problem involving intricately coupled variables, we develop two algorithms based on zero-forcing (ZF) and minimum mean square error (MMSE) combining methods, respectively. Specifically, for each algorithm, the combining matrix of the BS and the total transmit power of users are expressed as a function of the MAs’ position vectors, which are then optimized by using the proposed multi-directional descent (MDD) framework. It is shown that the proposed ZF-based and MMSE-based MDD algorithms can converge to high-quality suboptimal solutions with low computational complexities. Simulation results demonstrate that the proposed solutions for MA-enhanced multiple access systems can significantly decrease the total transmit power of users as compared to conventional FPA systems employing antenna selection under both perfect and imperfect field-response information.
Subfields: Aerospace Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/b4c58ff76d4b6a817bf3e7300d58beafaaf26de9
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Citations in the corpus
- Modeling and Performance Analysis for Movable Antenna Enabled Wireless Communications (2022, methodology): “The above advantages of the MA system allow for utilizing wireless channel spatial DoFs more efficiently, thus leading to improved communication performance [12], [13], [14].”
- MIMO Capacity Characterization for Movable Antenna Systems (2022, methodology): “Existing studies have validated the great potentials of MA-enabled wireless communications [1], [26], [27], [28].”
- Fluid Antenna Systems Enabling 6G: Principles, Applications, and Research Directions (2024, neutral): “Channel modeling is of great importance to the investigation of FAS, and below are the two main approaches: • F1: Field response-based channel modeling [2, Section II-E] [3]—”
- A Tutorial on Fluid Antenna System for 6G Networks: Encompassing Communication Theory, Optimization Methods and Hardware Designs (2024, background): “For other SNRs or more complicated problems, various approaches such as alternating optimization, generalized Bender decomposition, genetic algorithms, penalty methods, and other relaxation techniques can be used to address the challenges [160], [161], [162], [163], [164], [165].”
- Movable Antennas for Wireless Communication: Opportunities and Challenges (2023, methodology): “Preliminary studies have shown that MA systems can achieve a considerable performance gain over FPA systems by moving antennas in regions with size of only a few wavelengths [2], [13], [14].”