Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
184 tokens/sec
GPT-4o
7 tokens/sec
Gemini 2.5 Pro Pro
45 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
38 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Performance Analysis of RIS-aided MISO Systems with EMI and Channel Aging (2405.09200v1)

Published 15 May 2024 in cs.IT and math.IT

Abstract: In this paper, we investigate a reconfigurable intelligent surface (RIS)-aided multiple-input single-output (MISO) system in the presence of electromagnetic interference (EMI) and channel aging with a Rician fading channel model between the base station (BS) and user equipment (UE). Specifically, we derive the closed-form expression for downlink spectral efficiency (SE) with maximum ratio transmission (MRT) precoding. The Monte-Carlo simulation supports the theoretical results, demonstrating that amplifying the weight of the line-of-sight (LoS) component in Rician fading channels can boost SE, while EMI has a detrimental impact. Furthermore, continuously increasing the number of RIS elements is not an optimal choice when EMI exists. Nonetheless, RIS can be deployed to compensate for SE degradation caused by channel aging effects. Finally, enlarging the RIS elements size can significantly improve system performance.

Definition Search Book Streamline Icon: https://streamlinehq.com
References (16)
  1. J. Zhang, E. Björnson, M. Matthaiou, D. W. K. Ng, H. Yang, and D. J. Love, “Prospective multiple antenna technologies for beyond 5G,” IEEE J. Sel. Areas Commun., vol. 38, no. 8, pp. 1637–1660, Aug. 2020.
  2. T. S. Rappaport, Y. Xing, G. R. MacCartney, A. F. Molisch, E. Mellios, and J. Zhang, “Overview of millimeter wave communications for fifth-generation (5G) wireless networks—with a focus on propagation models,” IEEE Trans. Antennas Propag., vol. 65, no. 12, pp. 6213–6230, Dec. 2017.
  3. E. Shi, J. Zhang, S. Chen, J. Zheng, Y. Zhang, D. W. Kwan Ng, and B. Ai, “Wireless energy transfer in RIS-aided cell-free massive MIMO systems: opportunities and challenges,” IEEE Commun. Mag., vol. 60, no. 3, pp. 26–32, Mar. 2022.
  4. E. Shi, J. Zhang, H. Du, B. Ai, C. Yuen, D. Niyato, K. B. Letaief et al., “RIS-aided cell-free massive MIMO systems for 6G: fundamentals, system design, and applications,” arXiv:2310.00263, 2023.
  5. J. G. Andrews, X. Zhang, G. D. Durgin, and A. K. Gupta, “Are we approaching the fundamental limits of wireless network densification?” IEEE Commun. Mag., vol. 54, no. 10, pp. 184–190, Oct. 2016.
  6. Y. Zhang, J. Zhang, M. Di Renzo, H. Xiao, and B. Ai, “Reconfigurable intelligent surfaces with outdated channel state information: centralized vs. distributed deployments,” IEEE Trans. Commun., vol. 70, no. 4, pp. 2742–2756, Apr. 2022.
  7. 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.
  8. J. Zhang, H. Liu, Q. Wu, Y. Jin, Y. Chen, B. Ai, S. Jin, and T. J. Cui, “RIS-aided next-generation high-speed train communications: Challenges, solutions, and future directions,” IEEE Wireless Commun., vol. 28, no. 6, pp. 145–151, Jun. 2021.
  9. A. de Jesus Torres, L. Sanguinetti, and E. Björnson, “Electromagnetic interference in RIS-aided communications,” IEEE Wireless Commun. Lett., vol. 11, no. 4, pp. 668–672, Apr. 2022.
  10. E. Shi, J. Zhang, D. W. K. Ng, and B. Ai, “Uplink performance of RIS-aided cell-free massive MIMO system with electromagnetic interference,” IEEE J. Sel. Areas Commun., vol. 41, no. 8, pp. 2431–2445, Aug. 2023.
  11. Y. Lu, Y. Zhang, J. Zhang, and B. Ai, “Performance analysis of RIS-assisted wireless systems with channel aging and spatial correlation,” ITU J-FET, vol. 4, no. 1, pp. 1–12, Jan. 2023.
  12. Y. Zhang, J. Zhang, M. Di Renzo, H. Xiao, and B. Ai, “Reconfigurable intelligent surfaces with outdated channel state information: Centralized vs. distributed deployments,” IEEE Trans. Commun., vol. 70, no. 4, pp. 2742–2756, Apr. 2022.
  13. E. Björnson and L. Sanguinetti, “Rayleigh fading modeling and channel hardening for reconfigurable intelligent surfaces,” IEEE Wireless Commun. Lett., vol. 10, no. 4, pp. 830–834, Apr. 2020.
  14. N. K. Kundu and M. R. McKay, “Channel estimation for reconfigurable intelligent surface aided MISO communications: From LMMSE to deep learning solutions,” IEEE Open J. Commun. Society, vol. 2, no. 3, pp. 471–487, Mar. 2021.
  15. A. K. Papazafeiropoulos, “Impact of general channel aging conditions on the downlink performance of massive MIMO,” IEEE Trans. Veh. Technol., vol. 66, no. 2, pp. 1428–1442, Feb. 2017.
  16. K. T. Truong and R. W. Heath, “Effects of channel aging in massive MIMO systems,” J. Commun. Networks, vol. 15, no. 4, pp. 338–351, Aug. 2013.

Summary

We haven't generated a summary for this paper yet.

Ai Sparkles Streamline Icon: https://streamlinehq.com Summarize Now
X Twitter Logo Streamline Icon: https://streamlinehq.com

Tweets