The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
MIMO Capacity Characterization for Movable Antenna Systems
Open accessAbstract
In this paper, we propose a new multiple-input multiple-output (MIMO) communication system with movable antennas (MAs) to exploit the antenna position optimization for enhancing the capacity. Different from conventional MIMO systems with fixed-position antennas (FPAs), the proposed system can flexibly change the positions of transmit/receive MAs, such that the MIMO channel between them is reconfigured to achieve higher capacity. We aim to characterize the capacity of MA-enabled point-to-point MIMO communication systems, by jointly optimizing the positions of transmit and receive MAs as well as the covariance of transmit signals. First, we develop an efficient alternating optimization algorithm to find a locally optimal solution by iteratively optimizing the transmit covariance matrix and the position of each transmit/receive MA with the other variables being fixed. Next, we propose alternative algorithms of lower complexity for capacity maximization in the low-SNR regime and for the multiple-input single-output (MISO) and single-input multiple-output (SIMO) cases. Numerical results show that our proposed MA systems significantly improve the MIMO channel capacity compared to traditional FPA systems as well as various benchmark schemes, and useful insights are drawn into the capacity gains of MA systems.
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Cites
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A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems
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Joint Trajectory and Communication Design for Multi-UAV Enabled Wireless Networks
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Self-citationAntenna selection in MIMO systems
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Self-citation
Cited by
Modeling and Performance Analysis for Movable Antenna Enabled Wireless Communications
Zhu, L., Ma, W., & Zhang, R. (2024) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2023.3330887 · Cited by 554
Self-citationMovable-Antenna Enhanced Multiuser Communication via Antenna Position Optimization
Zhu, L., Ma, W., Ning, B., & Zhang, R. (2024) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2023.3338626 · Cited by 355
Self-citationFlexible Intelligent Metasurfaces for Enhancing MIMO Communications
An, J., Han, Z., Niyato, D., Debbah, M., Yuen, C., & Hanzo, L. (2025) · IEEE Transactions on Communications · doi:10.1109/tcomm.2025.3550318 · Cited by 34
Metadata
- Authors
- Ma, W., Zhu, L., & Zhang, R.
- Venue
- IEEE Transactions on Wireless Communications
- Published
- 2024-04
- Volume
- 23
- Issue
- 4
- Pages
- 3392-3407
- ISSN
- 1536-1276 (ISSN-L)
- 1558-2248
- OpenAlex
- W4386523965
- Cited by
- 406
- References
- 25
- FWCI
- 29.76
- Type
- journal article
- Language
- en
- Open access
- green
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