Environment-Aware Codebook for RIS-Assisted MU-MISO Communications: Implementation and Performance Analysis (2404.00265v1)
Abstract: Reconfigurable intelligent surface (RIS) provides a new electromagnetic response control solution, which can reshape the characteristics of wireless channels. In this paper, we propose a novel environment-aware codebook protocol for RIS-assisted multi-user multiple-input single-output (MU-MISO) systems. Specifically, we first introduce a channel training protocol which consists of off-line and on-line stages. Secondly, we propose an environment-aware codebook generation scheme, which utilizes the statistical channel state information and alternating optimization method to generate codewords offline. Then, in the on-line stage, we use these pre-designed codewords to configure the RIS, and the optimal codeword resulting in the highest sum rate is adopted for assisting in the downlink data transmission. Thirdly, we analyze the theoretical performance of the proposed protocol considering the channel estimation errors. Finally, numerical simulations are provided to verify our theoretical analysis and the performance of the proposed scheme.
- T. Cui, S. Jin, J. Zhang et al., “Research report on reconfigurable intelligent surface (RIS),” IMT-2030 (6G) Promotion Group, Sep. 2021.
- J. An, C. Xu, D. W. K. Ng, G. C. Alexandropoulos, C. Huang, C. Yuen, and L. Hanzo, “Stacked intelligent metasurfaces for efficient holographic MIMO communications in 6G,” IEEE J. Sel. Areas Commun., vol. 41, no. 8, pp. 2380–2396, Aug. 2023.
- X. Cao, B. Yang, C. Huang et al., “AI-assisted MAC for reconfigurable intelligent-surface-aided wireless networks: Challenges and opportunities,” IEEE Commun Mag, vol. 59, no. 6, pp. 21–27, May. 2021.
- J. An, C. Yuen, C. Huang, M. Debbah, H. Vincent Poor, and L. Hanzo, “A tutorial on holographic MIMO communications—Part I: Channel modeling and channel estimation,” IEEE Commun. Lett., vol. 27, no. 7, pp. 1664–1668, Jul. 2023.
- T.-Y. Kan, R. Y. Chang, F.-T. Chien et al., “Hybrid relay and reconfigurable intelligent surface assisted multiuser MISO systems,” IEEE Trans. Veh. Technol., Jun. 2023.
- J. An, C. Yuen, C. Xu, H. Li, D. W. K. Ng, M. Di Renzo, M. Debbah, and L. Hanzo, “Stacked intelligent metasurface-aided MIMO transceiver design,” arXiv preprint arXiv:2311.09814, 2023.
- C. Xu, J. An, T. Bai, S. Sugiura, R. G. Maunder, L.-L. Yang, M. Di Renzo, and L. Hanzo, “Antenna selection for reconfigurable intelligent surfaces: A transceiver-agnostic passive beamforming configuration,” IEEE Trans. Wireless Commun., vol. 22, no. 11, pp. 7756–7774, Nov. 2023.
- F. Wang, X. Houv, X. Wang et al., “Reconfigurable intelligent surface aided joint communication and positioning,” in Proc. IEEE 98th Veh. Technol. Conf. (VTC2023-Fall). IEEE, Oct. 2023, pp. 1–6.
- C. Xu, J. An, T. Bai, S. Sugiura, R. G. Maunder, Z. Wang, L.-L. Yang, and L. Hanzo, “Channel estimation for reconfigurable intelligent surface assisted high-mobility wireless systems,” IEEE Trans. Veh. Technol., vol. 72, no. 1, pp. 718–734, Jan. 2023.
- Q. Wu and R. Zhang, “Intelligent reflecting surface enhanced wireless network via joint active and passive beamforming,” IEEE Trans. Wireless Commun., vol. 18, no. 11, pp. 5394–5409, Nov. 2019.
- Y. Han, W. Tang, S. Jin et al., “Large intelligent surface-assisted wireless communication exploiting statistical CSI,” IEEE Trans. Veh. Technol., vol. 68, no. 8, pp. 8238–8242, Aug. 2019.
- H. Liu, J. An, D. W. K. Ng, G. C. Alexandropoulos, and L. Gan, “DRL-based orchestration of multi-user MISO systems with stacked intelligent metasurfaces,” arXiv preprint arXiv:2402.09006, 2024.
- L. Ma, X. Zhang, J. Sun et al., “Joint optimization of reconfigurable intelligent surfaces and base station beamforming in MISO system based on deep reinforcement learning,” in Proc. IEEE 97th Veh. Technol. Conf. (VTC2023-Spring). IEEE, Jun. 2023, pp. 1–5.
- J. An, C. Xu, L. Gan, and L. Hanzo, “Low-complexity channel estimation and passive beamforming for RIS-assisted MIMO systems relying on discrete phase shifts,” IEEE Trans. Commun., vol. 70, no. 2, pp. 1245–1260, Feb. 2022.
- H. Alwazani, A. Kammoun, A. Chaaban et al., “Intelligent reflecting surface-assisted multi-user MISO communication: Channel estimation and beamforming design,” IEEE Open J. Commun. Soc., vol. 1, pp. 661–680, May. 2020.
- S. Shen, B. Clerckx, and R. Murch, “Modeling and architecture design of reconfigurable intelligent surfaces using scattering parameter network analysis,” IEEE Trans. Wireless Commun., vol. 21, no. 2, pp. 1229–1243, Feb. 2022.
- J. An, C. Xu, Q. Wu, D. W. K. Ng, M. D. Renzo, C. Yuen, and L. Hanzo, “Codebook-based solutions for reconfigurable intelligent surfaces and their open challenges,” IEEE Wireless Commun., pp. 1–8, 2024, Early Access.
- J. An, C. Xu, L. Wang et al., “Joint training of the superimposed direct and reflected links in reconfigurable intelligent surface assisted multiuser communications,” IEEE Trans. Green Commun. Networking, vol. 6, no. 2, pp. 739–754, Jun. 2022.
- A. Abdallah, A. Celik, M. M. Mansour et al., “Deep reinforcement learning based beamforming codebook design for RIS-aided mmWave systems,” in Proc. IEEE 20th Consumer Communications & Networking Conference (CCNC). IEEE, Mar. 2023, pp. 1020–1026.
- X. Jia, J. An, H. Liu, H. Liao, L. Gan, and C. Yuen, “Environment-aware codebook for reconfigurable intelligent surface-aided MISO communications,” IEEE Wireless Commun. Lett., vol. 12, no. 7, pp. 1174–1178, Jul. 2023.
- H. Yin, D. Gesbert, M. Filippou et al., “A coordinated approach to channel estimation in large-scale multiple-antenna systems,” IEEE J. Sel. Areas Commun., vol. 31, no. 2, pp. 264–273, Jan. 2013.
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