Robust Beamforming Design and Antenna Selection for Dynamic HRIS-aided MISO System
Abstract: In this paper, we propose a dynamic hybrid active-passive reconfigurable intelligent surface (HRIS) to enhance multiple-input-single-output (MISO) communications, leveraging the property of dynamically placing active elements. Specifically, considering the impact of hardware impairments (HWIs), we investigate channel-aware configurations of the receive antennas at the base station (BS) and the active/passive elements at the HRIS to improve transmission reliability. To this end, we address the average mean-square-error (MSE) minimization problem for the HRIS-aided MISO system by jointly optimizing the BS receive antenna selection matrix, the reflection phase coefficients, the reflection amplitude matrix, and the mode selection matrix of the HRIS. To overcome the non-convexity and intractability of this problem, we first transform the binary and discrete variables into continuous ones, and then propose a penalty-based exact block coordinate descent (PEBCD) algorithm to alternately solve these subproblems. Numerical simulations demonstrate the significant superiority of our proposed scheme over conventional benchmark schemes.
- X. Zhai, Y. Cai, Q. Shi, M. Zhao, G. Y. Li, and B. Champagne, “Joint transceiver design with antenna selection for large-scale MU-MIMO mmwave systems,” IEEE Journal on Selected Areas in Communications, vol. 35, no. 9, pp. 2085–2096, 2017.
- A. F. Molisch, V. V. Ratnam, S. Han, Z. Li, S. L. H. Nguyen, L. Li, and K. Haneda, “Hybrid beamforming for massive MIMO: A survey,” IEEE Communications magazine, vol. 55, no. 9, pp. 134–141, 2017.
- S. Sanayei and A. Nosratinia, “Antenna selection in MIMO systems,” IEEE Communications magazine, vol. 42, no. 10, pp. 68–73, 2004.
- Y. Gao, H. Vinck, and T. Kaiser, “Massive MIMO antenna selection: Switching architectures, capacity bounds, and optimal antenna selection algorithms,” IEEE Transactions on Signal Processing, vol. 66, no. 5, pp. 1346–1360, 2018.
- A. M. Elbir and K. V. Mishra, “Joint antenna selection and hybrid beamformer design using unquantized and quantized deep learning networks,” IEEE Transactions on Wireless Communications, vol. 19, no. 3, pp. 1677–1688, 2019.
- Q. Wu, S. Zhang, B. Zheng, C. You, and R. Zhang, “Intelligent reflecting surface-aided wireless communications: A tutorial,” IEEE Transactions on Communications, vol. 69, no. 5, pp. 3313–3351, 2021.
- Q. Peng, Q. Wu, G. Chen, R. Liu, S. Ma, and W. Chen, “Hybrid active-passive IRS assisted energy-efficient wireless communication,” IEEE Communications Letters, 2023.
- R. P. Sankar and S. P. Chepuri, “Channel-aware placement of active and passive elements in hybrid RIS-assisted MISO systems,” IEEE Wireless Communications Letters, 2023.
- X. Yang, S. Ma, and S. Jin, “Antenna selection for asymmetrical uplink and downlink transceivers in massive MIMO systems,” IEEE Transactions on Wireless Communications, 2023.
- J. Wang, S. Gong, Q. Wu, and S. Ma, “RIS-aided MIMO systems with hardware impairments: Robust beamforming design and analysis,” IEEE Transactions on Wireless Communications, vol. 22, no. 10, pp. 6914–6929, 2023.
- S. Gong, C. Xing, H. Liu, X. Zhao, J. Wang, J. An, and T. Q. Quek, “Hardware-impaired RIS-assisted mmwave hybrid systems: Beamforming design and performance analysis,” IEEE Transactions on Communications, vol. 71, no. 4, pp. 2317–2334, 2023.
- G. Yuan and B. Ghanem, “An exact penalty method for binary optimization based on MPEC formulation,” in Proceedings of the AAAI Conference on Artificial Intelligence, vol. 31, no. 1, 2017.
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