Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
169 tokens/sec
GPT-4o
7 tokens/sec
Gemini 2.5 Pro Pro
45 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
38 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Flexible Precoding for Multi-User Movable Antenna Communications (2402.18847v1)

Published 29 Feb 2024 in cs.IT, eess.SP, and math.IT

Abstract: This letter rethinks traditional precoding in multi-user wireless communications with movable antennas (MAs). Utilizing MAs for optimal antenna positioning, we introduce a sparse optimization (SO)-based approach focusing on regularized zero-forcing (RZF). This framework targets the optimization of antenna positions and the precoding matrix to minimize inter-user interference and transmit power. We propose an off-grid regularized least squares-based orthogonal matching pursuit (RLS-OMP) method for this purpose. Moreover, we provide deeper insights into antenna position optimization using RLS-OMP, viewed from a subspace projection angle. Overall, our proposed flexible precoding scheme demonstrates a sum rate that exceeds more than twice that of fixed antenna positions.

Definition Search Book Streamline Icon: https://streamlinehq.com
References (17)
  1. R. He, B. Ai, G. Wang, M. Yang, C. Huang, and Z. Zhong, “Wireless channel sparsity: Measurement, analysis, and exploitation in estimation,” IEEE Wireless Communications, vol. 28, no. 4, pp. 113–119, 2021.
  2. S. Yang, C. Xie, D. Wang, and Z. Zhang, “Fast multibeam training for mmwave mimo systems with subconnected hybrid beamforming architecture,” IEEE Systems Journal, vol. 17, no. 2, pp. 2939–2949, 2023.
  3. C. Huang, A. Zappone, G. C. Alexandropoulos, M. Debbah, and C. Yuen, “Reconfigurable intelligent surfaces for energy efficiency in wireless communication,” IEEE Transactions on Wireless Communications, vol. 18, no. 8, pp. 4157–4170, 2019.
  4. Q. Wu and R. Zhang, “Intelligent reflecting surface enhanced wireless network via joint active and passive beamforming,” IEEE Transactions on Wireless Communications, vol. 18, no. 11, pp. 5394–5409, 2019.
  5. H. Lu and Y. Zeng, “Near-field modeling and performance analysis for multi-user extremely large-scale mimo communication,” IEEE Communications Letters, vol. 26, no. 2, pp. 277–281, 2022.
  6. S. Yang, W. Lyu, Z. Hu, Z. Zhang, and C. Yuen, “Channel estimation for near-field xl-ris-aided mmwave hybrid beamforming architectures,” IEEE Transactions on Vehicular Technology, vol. 72, no. 8, pp. 11 029–11 034, 2023.
  7. L. Zhu, W. Ma, and R. Zhang, “Movable antennas for wireless communication: Opportunities and challenges,” IEEE Communications Magazine, pp. 1–7, 2023.
  8. K. K. Wong, A. Shojaeifard, K.-F. Tong, and Y. Zhang, “Performance limits of fluid antenna systems,” IEEE Communications Letters, vol. 24, no. 11, pp. 2469–2472, 2020.
  9. M. Gharavi-Alkhansari and A. Gershman, “Fast antenna subset selection in mimo systems,” IEEE Transactions on Signal Processing, vol. 52, no. 2, pp. 339–347, 2004.
  10. B. Fuchs, “Synthesis of sparse arrays with focused or shaped beampattern via sequential convex optimizations,” IEEE Transactions on Antennas and Propagation, vol. 60, no. 7, pp. 3499–3503, 2012.
  11. S. Yang, B. Liu, Z. Hong, and Z. Zhang, “Low-complexity sparse array synthesis based on off-grid compressive sensing,” IEEE Antennas and Wireless Propagation Letters, vol. 21, no. 12, pp. 2322–2326, 2022.
  12. K.-K. Wong and K.-F. Tong, “Fluid antenna multiple access,” IEEE Transactions on Wireless Communications, vol. 21, no. 7, pp. 4801–4815, 2022.
  13. H. Qin, W. Chen, Z. Li, Q. Wu, N. Cheng, and F. Chen, “Antenna Positioning and Beamforming Design for Fluid-Antenna Enabled Multi-user Downlink Communications,” arXiv e-prints, p. arXiv:2311.03046, Nov. 2023.
  14. L. Zhu, W. Ma, and R. Zhang, “Modeling and performance analysis for movable antenna enabled wireless communications,” IEEE Transactions on Wireless Communications, pp. 1–1, 2023.
  15. L. Zhu, W. Ma, B. Ning, and R. Zhang, “Movable-antenna enhanced multiuser communication via antenna position optimization,” IEEE Transactions on Wireless Communications, pp. 1–1, 2023.
  16. X. Pi, L. Zhu, Z. Xiao, and R. Zhang, “Multiuser Communications with Movable-Antenna Base Station Via Antenna Position Optimization,” arXiv e-prints, p. arXiv:2308.05546, Aug. 2023.
  17. X. Lai, T. Wu, J. Yao, C. Pan, M. Elkashlan, and K.-K. Wong, “On performance of fluid antenna system using maximum ratio combining,” IEEE Communications Letters, vol. 28, no. 2, pp. 402–406, 2024.
Citations (23)

Summary

We haven't generated a summary for this paper yet.