Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
167 tokens/sec
GPT-4o
7 tokens/sec
Gemini 2.5 Pro Pro
42 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

Coverage and Rate Analysis for Distributed RISs-Assisted mmWave Communications (2402.06154v1)

Published 9 Feb 2024 in cs.IT, eess.SP, and math.IT

Abstract: The millimeter wave (mmWave) has received considerable interest due to its expansive bandwidth and high frequency. However, a noteworthy challenge arises from its vulnerability to blockages, leading to reduced coverage and achievable rates. To address these limitations, a potential solution is to deploy distributed reconfigurable intelligent surfaces (RISs), which comprise many low-cost and passively reflected elements, and can facilitate the establishment of extra communication links. In this paper, we leverage stochastic geometry to investigate the ergodic coverage probability and the achievable rate in both distributed RISs-assisted single-cell and multi-cell mmWave wireless communication systems. Specifically, we first establish the system model considering the stochastically distributed blockages, RISs and users by the Poisson point process. Then we give the association criterion and derive the association probabilities, the distance distributions, and the conditional coverage probabilities for two cases of associations between base stations and users without or with RISs. Finally, we use Campbell's theorem and the total probability theorem to obtain the closed-form expressions of the ergodic coverage probability and the achievable rate. Simulation results verify the effectiveness of our analysis method, and demonstrate that by deploying distributed RISs, the ergodic coverage probability is significantly improved by approximately 50%, and the achievable rate is increased by more than 1.5 times.

Definition Search Book Streamline Icon: https://streamlinehq.com
References (37)
  1. F. Jameel, S. Wyne, S. J. Nawaz, and Z. Chang, “Propagation channels for mmWave vehicular communications: State-of-the-art and future research directions,” IEEE Wireless Commun., vol. 26, no. 1, pp. 144–150, Feb. 2019.
  2. X. Yang, M. Matthaiou, J. Yang, C. K. Wen, F. Gao, and S. Jin, “Hardware-constrained millimeter-wave systems for 5G: Challenges, opportunities, and solutions,” IEEE Commun. Mag., vol. 57, no. 1, pp. 44–50, Jan. 2019.
  3. Z. Lodro, N. Shah, E. Mahar, S. B. Tirmizi, and M. Lodro, “Mmwave novel multiband microstrip patch antenna design for 5G communication,” in Int. Conf. Comput., Math. Eng. Technol. (iCoMET), Jan. 2019.
  4. C. Huang, L. Liu, C. Yuen, and S. Sun, “Iterative channel estimation using LSE and sparse message passing for mmwave MIMO systems,” IEEE Trans. Signal Process., vol. 67, no. 1, pp. 245–259, Jan. 2019.
  5. X. Gan, C. Huang, Z. Yang, C. Zhong, and Z. Zhang, “Near-field localization for holographic RIS assisted mmwave systems,” IEEE Commun. Lett., vol. 27, no. 1, pp. 140–144, Jan. 2023.
  6. Y. Niu, Y. Lia, D. Jin, L. Su, and A. V. Vasilakos, “A survey of millimeter wave (mmWave) communications for 5G: Opportunities and challenges,” Wireles Netw., vol. 21, pp. 2657–2676, Nov. 2015.
  7. L. Wei, R. Q. Hu, Y. Qian, and G. Wu, “Key elements to enable millimeter wave communications for 5G wireless systems,” IEEE Wireless Commun., vol. 21, no. 6, pp. 136–143, Dec. 2014.
  8. C. Huang, A. Zappone, G. C. Alexandropoulos, M. Debbah, and C. Yuen, “Reconfigurable intelligent surfaces for energy efficiency in wireless communication,” IEEE Trans. Wireless Commun., vol. 18, no. 8, pp. 4157–4170, Aug. 2019.
  9. X. Gan, C. Zhong, C. Huang, Z. Yang, and Z. Zhang, “Multiple RISs assisted cell-free networks with two-timescale CSI: Performance analysis and system design,” IEEE Trans. Commun., vol. 70, no. 11, pp. 7696–7710, Nov. 2022.
  10. M. Jung, W. Saad, M. Debbah, and C. S. Hong, “On the optimality of reconfigurable intelligent surfaces (RISs): Passive beamforming, modulation, and resource allocation,” IEEE Trans. Wireless Commun., vol. 20, no. 7, pp. 4347–4363, Feb. 2021.
  11. Y. Xu, H. Xie, Q. Wu, C. Huang, and C. Yuen, “Robust max-min energy efficiency for RIS-aided HetNets with distortion noises,” IEEE Trans. Commun., vol. 70, no. 2, pp. 1457–1471, Feb. 2022.
  12. A. Faisal, I. Al-Nahhal, O. A. Dobre, and T. M. N. Ngatched, “Deep reinforcement learning for RIS-assisted FD systems: Single or distributed RIS?” IEEE Commun. Lett., vol. 26, no. 7, pp. 1563–1567, July 2022.
  13. M. Haenggi, J. G. Andrews, F. Baccelli, O. Dousse, and M. Franceschetti, “Stochastic geometry and random graphs for the analysis and design of wireless networks,” IEEE J. Sel. Areas Commun., vol. 27, no. 7, pp. 1029–1046, Sept. 2009.
  14. M. Z. Win, P. C. Pinto, A. Giorgetti, M. Chiani, and L. A. Shepp, “Error performance of ultrawideband systems in a poisson field of narrowband interferers,” IEEE Int. Symp. Spread Spectrum Tech. Appl., pp. 410–416, Aug. 2006.
  15. M. Z. Win, P. C. Pinto, and L. A. Shepp, “A mathematical theory of network interference and its applications,” Proc. IEEE, vol. 97, pp. 205–230, Feb. 2009.
  16. M. Di Renzo, “Stochastic geometry modeling and analysis of multi-tier millimeter wave cellular networks,” IEEE Trans. Wireless Commun., vol. 14, no. 9, pp. 5038–5057, Sept. 2015.
  17. T. Zhang, J. Zhao, L. An, and D. Liu, “Energy efficiency of base station deployment in ultra dense HetNets: A stochastic geometry analysis,” IEEE Wireless Commun. Lett., vol. 5, no. 2, pp. 184–187, Apr. 2016.
  18. F. H. Danufane, M. D. Renzo, J. de Rosny, and S. Tretyakov, “On the path-loss of reconfigurable intelligent surfaces: An approach based on Green’s Theorem applied to vector fields,” IEEE Trans. Commun., vol. 69, no. 8, pp. 5573–5592, Aug. 2021.
  19. R. Karasik, O. Simeone, M. D. Renzo, and S. S. Shitz, “Beyond max-SNR: Joint encoding for reconfigurable intelligent surfaces,” in 2020 IEEE Int. Symp. Inf. Theor. (ISIT), June 2020.
  20. N. S. Perović, M. D. Renzo, and M. F. Flanagan, “Channel capacity optimization using reconfigurable intelligent surfaces in indoor mmWave environments,” in 2020 IEEE Int. Conf. Commun. (ICC), June 2020.
  21. S. Zhang and R. Zhang, “Capacity characterization for intelligent reflecting surface aided MIMO communication,” IEEE J. Sel. Areas Commun., vol. 38, no. 8, pp. 1823–1838, Aug. 2020.
  22. C. Huang, A. Zappone, M. Debbah, and C. Yuen, “Achievable rate maximization by passive intelligent mirrors,” in 2018 IEEE Int. Conf. Acoust. Speech. Signal. Process. (ICASSP), Apr. 2018.
  23. T. Hou, Y. Liu, Z. Song, X. Sun, and Y. Chen, “MIMO-NOMA networks relying on reconfigurable intelligent surface: A signal cancellation-based design,” IEEE Trans. Commun., vol. 68, no. 11, pp. 6932–6944, Nov. 2020.
  24. T. Bai, R. Vaze, and R. W. Heath, “Analysis of blockage effects on urban cellular networks,” IEEE Wireless Commun., vol. 13, no. 9, pp. 5070–5083, Sept. 2014.
  25. T. Bai and R. W. Heath, “Coverage and rate analysis for millimeter-wave cellular networks,” IEEE Trans. Wireless Commun., vol. 14, no. 2, pp. 1100–1114, Feb. 2015.
  26. M. Rebato, J. Park, P. Popovski, E. D. Carvalho, and M. Zorzi, “Stochastic geometric coverage analysis in mmWave cellular networks with realistic channel and antenna radiation models,” IEEE Trans. Commun., vol. 67, no. 5, pp. 3736–3752, May 2019.
  27. M. A. Kishk and M. S. Alouini, “Exploiting randomly located blockages for large-scale deployment of intelligent surfaces,” IEEE J. Sel. Areas Commun., vol. 39, no. 4, pp. 1043–1056, Apr. 2021.
  28. A. A. A. Boulogeorgos and A. Alexiou, “Coverage analysis of reconfigurable intelligent surface assisted THz wireless systems,” IEEE Open J. Veh. Technol., vol. 2, pp. 94–110, Jan. 2021.
  29. M. Nemati, J. Park, and J. Choi, “RIS-assisted coverage enhancement in millimeter-wave cellular networks,” IEEE Access, vol. 8, pp. 188 171–188 185, Oct. 2020.
  30. Y. Zhu, G. Zheng, and K. K. Wong, “Stochastic geometry analysis of large intelligent surface-assisted millimeter wave networks,” IEEE J. Sel. Areas Commun., vol. 38, no. 8, pp. 1749–1762, Aug. 2020.
  31. R. Cowan, “Objects arranged randomly in space: An accessible theory,” Adv. Appl. Probab., vol. 21, no. 3, pp. 543–569, Sep. 1989.
  32. Q. H. Spencer, A. L. Swindlehurst, and M. Haardt, “Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels,” IEEE Trans. Signal Process., vol. 52, no. 2, pp. 461–471, Feb. 2004.
  33. D. H. N. Nguyen, L. B. Le, T. Le-Ngoc, and R. W. Heath, “Hybrid MMSE precoding and combining designs for mmwave multiuser systems,” IEEE Access, vol. 5, pp. 19 167–19 181, Sept. 2017.
  34. A. Li and C. Masouros, “Hybrid precoding and combining design for millimeter-wave multi-user MIMO based on SVD,” in 2017 IEEE Int. Conf. Commun. (ICC), May 2017.
  35. Baddeley, A., J. Møller, and R. Waagepetersen., “Non- and semi-parametric estimation of interaction in inhomogeneous point patterns,” Stat. Neerl., vol. 54, no. 3, pp. 329–350, 2000.
  36. D. Moltchanov, “Distance distributions in random networks,” Ad Hoc Networks, vol. 10, no. 6, pp. 1146–1166, 2012.
  37. H. P. Keeler, “Campbell’s theorem,” 2015.
Citations (1)
View on Semantic Scholar

Summary

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

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