Intelligent reflecting surface for sum rate enhancement in MIMO systems

Abstract

The research for the Intelligent Reflecting Surface (IRS) which has the advantages of cost and energy efficiency has been studied. Channel capacity can be effectively increased by appropriately setting the phase value of IRS elements according to the channel conditions. However, the problem of obtaining an appropriate phase value of IRS is difficult to solve due to the non-convex problem. This paper proposes an iterative algorithm for the alternating optimal solution in the Single User Multiple-Input-Multiple-Output (SU-MIMO) systems. The proposed iterative algorithm finds an alternating optimal solution that is the phase value of IRS one by one. The results show that the proposed method has better performance than that of the randomized IRS systems. The number of iterations for maximizing the performance of the proposed algorithm depends on the channel state between the IRS and the receiver.

Keywords

Intelligent reflecting surface / MIMO / Sum rate

References

[1] S. Zhang, Q. Wu, S. Xu, G.Y. Li, Fundamental green tradeoffs: progresses, challenges, and impacts on 5G networks, IEEE Communications Surveys & Tutorials 19 (1) (2016) 33-56.

[2] F. Boccardi, R.W. Heath, A. Lozano, T.L. Marzetta, P. Popovski, Five disruptive technology directions for 5G, IEEE Commun. Mag. 52 (2) (2014) 74-80.

[3] W. S.H.M.W. Ahmad, et al. 5G Technology, Towards dynamic spectrum sharing using cognitive radio networks, IEEE Access 8 (2020) 14460-14488.

[4] I. Ahmed, et al., A survey on hybrid beamforming techniques in 5G: architecture and system model perspectives, IEEE Communications Surveys & Tutorials 20 (4)(2018) 3060-3097.

[5] P.V. Amadori, C. Masouros, Low RF-complexity millimeter-wave beamspace-MIMO systems by beam selection, IEEE Trans. Commun. 63 (6) (2015) 2212-2223.

[6] Q. Wu, S. Zhang, B. Zheng, C. You, R. Zhang, Intelligent reflecting surface-aided wireless communications: a tutorial, IEEE Trans. Commun. 69 (5) (2021) 3313-3351.

[7] Y.-P. Hong, I.-J. Hwang, D.-J. Yun, D.-J. Lee, I.-H. Lee, Design of single-layer metasurface filter by conformational space annealing algorithm for 5G mm-wave communications, IEEE Access 9 (2021) 29764-29774.

[8] X. Tan, Z. Sun, D. Koutsonikolas, J.M. Jornet,Enabling indoor mobile millimeter-wave networks based on smart reflect-arrays, in: IEEE INFOCOM 2018 - IEEE Conference on Computer Communications, IEEE, 2018, pp. 270-278.

[9] C. Huang, A. Zappone, G.C. Alexandropoulos, M. Debbah, C. Yuen, Reconfigurable intelligent surfaces for energy efficiency in wireless communication, IEEE Trans. Wireless Commun. 18 (8) (2019) 4157-4170.

[10] Q.-U.-A. Nadeem, A. Kammoun, A. Chaaban, M. Debbah, M.-S. Alouini, Asymptotic max-min SINR analysis of reconfigurable intelligent surface assisted MISO systems, IEEE Trans. Wireless Commun. 19 (12) (2020) 7748-7764.

[11] W. Chen, X. Ma, Z. Li, N. Kuang, Sum-rate maximization for intelligent reflecting surface based Terahertz communication systems, in: 2019 IEEE/CIC International Conference on Communications Workshops in China (ICCC Workshops), IEEE, 2019, pp. 153-157.

[12] X. Ma, Z. Chen, Y. Chi, W. Chen, L. Du, Z. Li, channel estimation for intelligent reflecting surface enabled Terahertz MIMO systems, in: 2020 IEEE International Conference on Communications Workshops (ICC Workshops), IEEE, 2020, pp. 1-6.

[13] Y. Cao, T. Lv, W. Ni, Intelligent reflecting surface aided multi-user mmWave communications for coverage enhancement, in: 2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications, IEEE, 2020, pp. 1-6.

[14] Q. Wu, R. Zhang, Intelligent reflecting surface enhanced wireless network via joint active and passive beamforming, IEEE Trans. Wireless Commun. 18 (11) (2019) 5394-5409.

[15] P. Wang, J. Fang, X. Yuan, Z. Chen, H. Li, Intelligent reflecting surface-assisted millimeter wave communications: joint active and passive precoding design, IEEE Trans. Veh. Technol. 69 (12) (2020) 14960-14973.

[16] H. Han, J. Zhao, D. Niyato, M.D. Renzo, Q.-V. Pham, Intelligent Reflecting Surface Aided Network: Power Control for Physical-Layer Broadcasting, ICC 2020-2020 IEEE International Conference on Communications (ICC), IEEE, 2020, pp. 1-7.

[17] D.-W. Yue, H.H. Nguyen, Y. Sun, mmWave doubly-massive-MIMO communications enhanced with an intelligent reflecting surface: asymptotic analysis, IEEE Access 8 (2020) 183774-183786.

[18] J. Ye, S. Guo, M.-S. Alouini, Joint reflecting and precoding designs for SER minimization in reconfigurable intelligent surfaces assisted MIMO systems, IEEE Trans. Wireless Commun. 19 (8) (2020) 5561-5574.

[19] D. Tse, P. Viswanath, Fundamentals of Wireless Communication, Cambridge university press, U.K, 2005.

[20] J.-S. Jung, C.-Y. Park, J.-H. Oh, H.-K. Song, Intelligent reflecting surface for spectral efficiency maximization in the multi-user MISO communication systems, in: IEEE Access, vol. 9, 2021, pp. 134695-134702.

[21] M.R. Akdeniz, et al., Millimeter wave channel modeling and cellular capacity evaluation, IEEE J. Sel. Area. Commun. 32 (6) (2014) 1164-1179.