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Bidirectional Approximate Message Passing for RIS-Assisted Multi-User MISO Communications

Conference Paper


Abstract


  • Reconfigurable intelligent surfaces (RISs) have been recently considered as a promising candidate for energy-efficient solutions in future wireless networks. Their dynamic and low-power configuration enables coverage extension, massive connectivity, and low-latency communications. Due to a large number of unknown variables referring to the RIS unit elements and the transmitted signals, channel estimation and signal recovery in RIS-based systems are the ones of the most critical technical challenges. To address this problem, we focus on the RIS-assisted multi-user wireless communication system and present a joint channel estimation and signal recovery algorithm in this paper. Specifically, we propose a bidirectional approximate message passing algorithm that applies the Taylor series expansion and Gaussian approximation to simplify the sum-product algorithm in the formulated problem. Our simulation results show that the proposed algorithm shows the superiority over a state-of-art benchmark method. We also provide insights on the impact of different RIS parameter settings on the proposed algorithms.

Publication Date


  • 2021

Citation


  • Wei, L., Huang, C., Guo, Q., Zhang, Z., Debbah, M., & Yuen, C. (2021). Bidirectional Approximate Message Passing for RIS-Assisted Multi-User MISO Communications. In IEEE Vehicular Technology Conference Vol. 2021-September. doi:10.1109/VTC2021-Fall52928.2021.9625232

Scopus Eid


  • 2-s2.0-85122719144

Volume


  • 2021-September

Issue


Place Of Publication


Abstract


  • Reconfigurable intelligent surfaces (RISs) have been recently considered as a promising candidate for energy-efficient solutions in future wireless networks. Their dynamic and low-power configuration enables coverage extension, massive connectivity, and low-latency communications. Due to a large number of unknown variables referring to the RIS unit elements and the transmitted signals, channel estimation and signal recovery in RIS-based systems are the ones of the most critical technical challenges. To address this problem, we focus on the RIS-assisted multi-user wireless communication system and present a joint channel estimation and signal recovery algorithm in this paper. Specifically, we propose a bidirectional approximate message passing algorithm that applies the Taylor series expansion and Gaussian approximation to simplify the sum-product algorithm in the formulated problem. Our simulation results show that the proposed algorithm shows the superiority over a state-of-art benchmark method. We also provide insights on the impact of different RIS parameter settings on the proposed algorithms.

Publication Date


  • 2021

Citation


  • Wei, L., Huang, C., Guo, Q., Zhang, Z., Debbah, M., & Yuen, C. (2021). Bidirectional Approximate Message Passing for RIS-Assisted Multi-User MISO Communications. In IEEE Vehicular Technology Conference Vol. 2021-September. doi:10.1109/VTC2021-Fall52928.2021.9625232

Scopus Eid


  • 2-s2.0-85122719144

Volume


  • 2021-September

Issue


Place Of Publication