Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
144 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

Matched-filter Precoded Rate Splitting Multiple Access: A Simple and Energy-efficient Design (2403.04502v1)

Published 7 Mar 2024 in cs.IT, eess.SP, and math.IT

Abstract: We introduce an energy-efficient downlink rate splitting multiple access (RSMA) scheme, employing a simple matched filter (MF) for precoding. We consider a transmitter equipped with multiple antennas, serving several single-antenna users at the same frequency-time resource, each with distinct message requests. Within the conventional 1-layer RSMA framework, requested messages undergo splitting into common and private streams, which are then precoded separately before transmission. In contrast, we propose a novel strategy where only an MF is employed to precode both the common and private streams in RSMA, promising significantly improved energy efficiency and reduced complexity. We demonstrate that this MF-precoded RSMA achieves the same delivery performance as conventional RSMA, where the common stream is beamformed using maximal ratio transmission (MRT) and the private streams are precoded by MF. Taking into account imperfect channel state information at the transmitter, we proceed to analyze the delivery performance of the MF-precoded RSMA. We derive the ergodic rates for decoding the common and private streams at a target user respectively in the massive MIMO regime. Finally, numerical simulations validate the accuracy of our analytical models, as well as demonstrate the advantages over conventional RSMA.

Definition Search Book Streamline Icon: https://streamlinehq.com
References (23)
  1. B. Clerckx, H. Joudeh, C. Hao, M. Dai, and B. Rassouli, “Rate splitting for MIMO wireless networks: A promising PHY-layer strategy for LTE evolution,” IEEE Commun. Mag., vol. 54, no. 5, pp. 98–105, May 2016.
  2. A. Mishra, Y. Mao, O. Dizdar and B. Clerckx, “Rate-splitting multiple access for 6G—part I: Principles, applications and future works,” IEEE Commun. Lett., vol. 26, no. 10, pp. 2232–2236, Oct. 2022.
  3. A. Salem, C. Masouros, and B. Clerckx, “Secure rate splitting multiple access: How much of the split signal to reveal?” IEEE Trans. Wireless Commun., vol. 22, no. 6, pp. 4173–4187, Jun. 2023.
  4. H. Joudeh and B. Clerckx, “Sum-rate maximization for linearly precoded downlink multiuser MISO systems with partial CSIT: A rate-splitting approach,” IEEE Trans. Commun., vol. 64, no. 11, pp. 4847–4861, Nov. 2016.
  5. Y. Wang, V. W. S. Wong, and J. Wang, “Flexible rate-splitting multiple access with finite blocklength,” IEEE J. Sel. Areas Commun., vol. 41, no. 5, pp. 1398–1412, May 2023.
  6. F. Rusek, D. Persson, B. K. Lau, E. G. Larsson, T. L. Marzetta, O. Edfors, and F. Tufvesson, “Scaling up MIMO: Opportunities and challenges with very large arrays,” IEEE Signal Process. Mag., vol. 30, no. 1, pp. 40–60, Jan. 2013.
  7. L. Lu, G. Y. Li, A. L. Swindlehurst, A. Ashikhmin, and R. Zhang, “An overview of massive MIMO: Benefits and challenges,” IEEE J. Sel. Topics Signal Process., vol. 8, no. 5, pp. 742–758, Oct. 2014.
  8. S. Wagner, R. Couillet, M. Debbah, and D. T. M. Slock, “Large system analysis of linear precoding in correlated MISO broadcast channels under limited feedback,” IEEE Trans. Inf. Theory, vol. 58, no. 7, pp. 4509–4537, Jul. 2012.
  9. H. Lei, S. Zhou, K.-H. Park, I. S. Ansari, H. Tang, and M.-S. Alouini, “Outage analysis of millimeter wave RSMA systems,” IEEE Trans. Commun., vol. 71, no. 3, pp. 1504–1520, Mar. 2023.
  10. M. Dai, B. Clerckx, D. Gesbert and G. Caire, “A rate splitting strategy for massive MIMO with imperfect CSIT,” IEEE Trans. Wireless Commun., vol. 15, no. 7, pp. 4611–4624, Jul. 2016.
  11. H. Q. Ngo, E. G. Larsson, and T. L. Marzetta, “Energy and spectral efficiency of very large multiuser MIMO systems,” IEEE Trans. Commun., vol. 61, no. 4, pp. 1436–1449, Apr. 2013.
  12. C. Feng, Y. Jing, and S. Jin, “Interference and outage probability analysis for massive MIMO downlink with MF precoding,” IEEE Signal Process. Lett., vol. 23, no. 3, pp. 366–370, Mar. 2016.
  13. M. He, H. Zhao, X. Miao, S. Wang, and G. Pan, “Secure rate-splitting multiple access transmissions in LMS systems,” IEEE Commun. Lett., vol. 28, no. 1, pp. 19–23, Jan. 2024.
  14. W. Shang, P. Ren, Z. Xiang, and L. Yang, “An exact analysis on matrix-based precoding for the common message in downlink rate splitting multiple access,” IEEE Commun. Lett., to be published. DOI: 10.1109/LCOMM.2024.3359290.
  15. O. Dizdar, Y. Mao, and B. Clerckx, “Rate-splitting multiple access to mitigate the curse of mobility in (massive) MIMO networks,” IEEE Trans. Common., vol. 69, no. 10, pp. 6765–6780, Oct. 2021.
  16. Q. Zhang, S. Jin, K.-K. Wong, H. Zhu, and M. Matthaiou, “Power scaling of uplink massive MIMO systems with arbitrary-rank channel means,” IEEE J. Sel. Topics Signal Process, vol. 8, no. 5, pp. 966–981, Oct. 2014.
  17. Y.-G. Lim, C.-B. Chae, and G. Caire, “Performance analysis of massive MIMO for cell-boundary users,” IEEE Trans. Wireless Commun., vol. 14, no. 12, p. 6827–6842, Dec. 2015.
  18. M. K. Arti, “Imperfect CSI based maximal ratio combining in shadowed-Rician fading land mobile satellite channels,” in Proc. Twenty 1st Nat. Conf. Commun. (NCC), Feb 2015.
  19. H. Zhao, D. Slock, and P. Elia, “Exact SINR analysis of matched-filter precoder,” submitted to Proc. IEEE Int. Symp. Inf. Theory (ISIT). [Online]. Available: https://doi.org/10.48550/arXiv.2401.16958
  20. E. Björnson, M. Kountouris, and M. Debbah, “Massive MIMO and small cells: Improving energy efficiency by optimal soft-cell coordination,” in Proc. Int. Conf. Telecommun. (ICT), May 2013.
  21. “5G Implementation Guidelines,” GSMA, Tech. Rep. version 2.0, 2019.
  22. A. Abdi, W. C. Lau, M.-S. Alouini, and M. Kaveh, “A new simple model for land mobile satellite channels: First- and second-order statistics,” IEEE Trans. Wireless Commun., vol. 2, no. 3, pp. 519–528, May 2003.
  23. H. Zhao, A. Bazco-Nogueras, and P. Elia, “Coded caching in land mobile satellite systems,” in Proc. IEEE Int. Conf. Commun. (ICC), May 2022.

Summary

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

X Twitter Logo Streamline Icon: https://streamlinehq.com