Abstract
This paper considers an intelligent reflecting surface (IRS) aided multiple-input single-output communication system, where statistical channel state information (CSI) is exploited for transmit beam-forming and IRS beamforming. A tight upper bound is derived for the ergodic capacity of the system. Based on which, the joint optimization of transmit beam and IRS beam are studied. Depending on whether a line-of-sight path exists between the access point and user, two different cases, namely, Rician fading and Rayleigh fading, are separately treated. Specifically, for the Rician fading case, an iterative algorithm is proposed, which is guaranteed to converge. For the Rayleigh fading case, closed-form designs are obtained for the transmit beam and IRS beam. Simulation results show the proposed beamforming scheme achieves similar performance as the benchmark algorithm requiring instantaneous CSI.
Article PDF
Similar content being viewed by others
Avoid common mistakes on your manuscript.
References
Wu Q Q, Zhang R. Towards smart and reconfigurable environment: intelligent reflecting surface aided wireless network. IEEE Commun Mag, 2020, 58: 106–112
Cui T J, Qi M Q, Wan X, et al. Coding metamaterials, digital metamaterials and programmable metamaterials. Light Sci Appl, 2014, 3: e218
Tao Q, Wang J W, Zhong C J. Performance analysis of intelligent reflecting surface aided communication systems. IEEE Commun Lett, 2020
Hu X L, Zhong C J, Zhu Y X, et al. Programmable metasurface-based multicast systems: design and analysis. IEEE J Sel Areas Commun, 2020, 38: 1763–1776
Gao J B, Zhong C J, Chen X M, et al. Unsupervised learning for passive beamforming. IEEE Commun Lett, 2020, 24: 1052–1056
Wu Q Q, Zhang R. Intelligent reflecting surface enhanced wireless network via joint active and passive beamforming. IEEE Trans Wireless Commun, 2019, 18: 5394–5409
Wu Q Q, Zhang R. Beamforming optimization for wireless network aided by intelligent reflecting surface with discrete phase shifts. IEEE Trans Commun, 2020, 68: 1838–1851
Yang Y F, Zhang S W, Zhang R. IRS-enhanced OFDMA: joint resource allocation and passive beamforming optimization. IEEE Wireless Commun Lett, 2020, 9: 760–764
You X H, Zhang C, Tan X S, et al. AI for 5G: research directions and paradigms. Sci China Inf Sci, 2019, 62: 021301
Ding Z G, Poor H V. A simple design of IRS-NOMA transmission. IEEE Commun Lett, 2020, 24: 1119–1123
Qi Q, Chen X M, Zhong C J, et al. Physical layer security for massive access in cellular Internet of Things. Sci China Inf Sci, 2020, 63: 121301
Zhang Y, Zhong C J, Zhang Z Y, et al. Sum rate optimization for two way communications with intelligent reflecting surface. IEEE Commun Lett, 2020, 24: 1090–1094
Wang P L, Fang J, Li H B. Joint beamforming for intelligent reflecting surface-assisted millimeter wave communications. 2019. ArXiv: 1910.08541
Zhang J Z, Zhang Y, Zhong C J, et al. Robust design for intelligent reflecting surfaces assisted MISO systsems. IEEE Commun Lett, 2020
Taha A, Alrabeiah M, Alkhateeb A. Enabling large intelligent surfaces with compressive sensing and deep learning. 2019. ArXiv: 1904.10136
Yang Y F, Zheng B X, Zhang S W, et al. Intelligent reflecting surface meets OFDM: protocol design and rate maximization. IEEE Trans Commun, 2020, 68: 4522–4535
Zheng B X, Zhang R. Intelligent reflecting surface-enhanced OFDM: channel estimation and reflection optimization. IEEE Wireless Commun Lett, 2020, 9: 518–522
Mishra D, Johansson H. Channel estimation and low-complexity beamforming design for passive intelligent surface assisted MISO wireless energy transfer. In: Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019. 4659–4663
Han Y, Tang W K, Jin S, et al. Large intelligent surface-assisted wireless communication exploiting statistical CSI. IEEE Trans Veh Technol, 2019, 68: 8238–8242
Acknowledgements
This work was supported by National Key R&D Program of China (Grant No. 2019YFB1803400), the NSFC-Zhejiang Joint Fund for the Integration of Industrialization and Informatization (Grant No. U1709219), and National Natural Science Foundation of China (Grant No. 61922071).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Hu, X., Wang, J. & Zhong, C. Statistical CSI based design for intelligent reflecting surface assisted MISO systems. Sci. China Inf. Sci. 63, 222303 (2020). https://doi.org/10.1007/s11432-020-3033-3
Received:
Revised:
Accepted:
Published:
DOI: https://doi.org/10.1007/s11432-020-3033-3