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Tomlinson-Harashima Cluster-Based Precoders for Cell-Free MU-MIMO Networks (2312.15832v1)

Published 26 Dec 2023 in cs.IT, eess.SP, and math.IT

Abstract: Cell-free (CF) multiple-input multiple-output (MIMO) systems generally employ linear precoding techniques to mitigate the effects of multiuser interference. However, the power loss, efficiency, and precoding accuracy of linear precoders are usually improved by replacing them with nonlinear precoders that employ perturbation and modulo operation. In this work, we propose nonlinear user-centric precoders for CF MIMO, wherein different clusters of access points (APs) serve different users in CF multiple-antenna networks. Each cluster of APs is selected based on large-scale fading coefficients. The clustering procedure results in a sparse nonlinear precoder. We further devise a reduced-dimension nonlinear precoder, where clusters of users are created to reduce the complexity of the nonlinear precoder, the amount of required signaling, and the number of users. Numerical experiments show that the proposed nonlinear techniques for CF systems lead to an enhanced performance when compared to their linear counterparts.

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References (42)
  1. H. Tataria, M. Shafi, A. F. Molisch, M. Dohler, H. Sjöland, and F. Tufvesson, “6G wireless systems: Vision, requirements, challenges, insights, and opportunities,” Proceedings of the IEEE, vol. 109, no. 7, pp. 1166–1199, 2021.
  2. M. Giordani, M. Polese, M. Mezzavilla, S. Rangan, and M. Zorzi, “Toward 6G networks: Use cases and technologies,” IEEE Communications Magazine, vol. 58, no. 3, pp. 55–61, 2020.
  3. R. C. de Lamare, “Massive MIMO systems: Signal processing challenges and future trends,” URSI Radio Science Bulletin, vol. 2013, no. 347, pp. 8–20, 2013.
  4. W. Zhang, H. Ren, C. Pan, M. Chen, R. C. de Lamare, B. Du, and J. Dai, “Large-scale antenna systems with ul/dl hardware mismatch: Achievable rates analysis and calibration,” IEEE Transactions on Communications, vol. 63, no. 4, pp. 1216–1229, 2015.
  5. H. A. Ammar, R. Adve, S. Shahbazpanahi, G. Boudreau, and K. V. Srinivas, “User-centric cell-free massive MIMO networks: A survey of opportunities, challenges and solutions,” IEEE Communications Surveys & Tutorials, vol. 24, no. 1, pp. 611–652, 2022.
  6. S. Elhoushy, M. Ibrahim, and W. Hamouda, “Cell-free massive MIMO: A survey,” IEEE Communications Surveys & Tutorials, vol. 24, no. 1, pp. 492–523, 2022.
  7. M. Attarifar, A. Abbasfar, and A. Lozano, “Subset MMSE receivers for cell-free networks,” IEEE Transactions on Wireless Communications, vol. 19, no. 6, pp. 4183–4194, 2020.
  8. H. Yang and T. L. Marzetta, “Energy efficiency of massive MIMO: Cell-free vs. cellular,” in IEEE Vehicular Technology Conference - Spring, 2018.
  9. S. Elhoushy and W. Hamouda, “Towards high data rates in dynamic environments using hybrid cell-free massive MIMO/small-cell system,” IEEE Wireless Communications Letters, vol. 10, no. 2, pp. 201–205, 2021.
  10. H. Q. Ngo, L.-N. Tran, T. Q. Duong, M. Matthaiou, and E. G. Larsson, “On the total energy efficiency of cell-free massive MIMO,” IEEE Transactions on Green Communications and Networking, vol. 2, no. 1, pp. 25–39, 2018.
  11. J. Zhang, S. Chen, Y. Lin, J. Zheng, B. Ai, and L. Hanzo, “Cell-free massive MIMO: A new next-generation paradigm,” IEEE Access, vol. 7, pp. 99 878–99 888, 2019.
  12. S.-N. Jin, D.-W. Yue, and H. H. Nguyen, “Spectral and energy efficiency in cell-free massive MIMO systems over correlated Rician fading,” IEEE Systems Journal, vol. 15, no. 2, pp. 2822–2833, 2021.
  13. E. Nayebi, A. Ashikhmin, T. L. Marzetta, H. Yang, and B. D. Rao, “Precoding and power optimization in cell-free massive MIMO systems,” IEEE Transactions on Wireless Communications, vol. 16, no. 7, pp. 4445–4459, 2017.
  14. E. Björnson and L. Sanguinetti, “Making cell-free massive MIMO competitive with MMSE processing and centralized implementation,” IEEE Transactions on Wireless Communications, vol. 19, no. 1, pp. 77–90, 2020.
  15. K. Zu, R. C. de Lamare, and M. Haardt, “Multi-branch Tomlinson-Harashima precoding design for MU-MIMO systems: Theory and algorithms,” IEEE Transactions on Communications, vol. 62, no. 3, pp. 939–951, 2014.
  16. L. Zhang, Y. Cai, R. C. de Lamare, and M. Zhao, “Robust multibranch Tomlinson–Harashima precoding design in amplify-and-forward MIMO relay systems,” IEEE Transactions on Communications, vol. 62, no. 10, pp. 3476–3490, 2014.
  17. A. R. Flores, R. C. De Lamare, and B. Clerckx, “Tomlinson-Harashima precoded rate-splitting with stream combiners for MU-MIMO systems,” IEEE Transactions on Communications, vol. 69, no. 6, pp. 3833–3845, 2021.
  18. M. Joham, W. Utschick, and J. Nossek, “Linear transmit processing in MIMO communications systems,” IEEE Transactions on Signal Processing, vol. 53, no. 8, pp. 2700–2712, 2005.
  19. H. Ruan and R. C. de Lamare, “Distributed robust beamforming based on low-rank and cross-correlation techniques: Design and analysis,” IEEE Transactions on Signal Processing, vol. 67, no. 24, pp. 6411–6423, 2019.
  20. V. M. Palhares, R. C. de Lamare, A. R. Flores, and L. T. Landau, “Iterative AP selection, MMSE precoding and power allocation in cell-free massive MIMO systems,” IET Communications, vol. 14, no. 22, pp. 3996–4006, 2020.
  21. A. R. Flores, R. C. de Lamare, and B. Clerckx, “Linear precoding and stream combining for rate splitting in multiuser MIMO systems,” IEEE Communications Letters, vol. 24, no. 4, pp. 890–894, 2020.
  22. S. Mashdour, R. C. de Lamare, and J. P. S. H. Lima, “Enhanced subset greedy multiuser scheduling in clustered cell-free massive mimo systems,” IEEE Communications Letters, vol. 27, no. 2, pp. 610–614, 2023.
  23. A. R. Flores, R. C. de Lamare, and K. V. Mishra, “Clustered cell-free multi-user multiple-antenna systems with rate-splitting: Precoder design and power allocation,” IEEE Transactions on Communications, vol. 71, no. 10, pp. 5920–5934, 2023.
  24. H. Q. Ngo, A. Ashikhmin, H. Yang, E. G. Larsson, and T. L. Marzetta, “Cell-free massive MIMO versus small cells,” IEEE Transactions on Wireless Communications, vol. 16, no. 3, pp. 1834–1850, 2017.
  25. L. D. Nguyen, T. Q. Duong, H. Q. Ngo, and K. Tourki, “Energy efficiency in cell-free massive MIMO with zero-forcing precoding design,” IEEE Communications Letters, vol. 21, no. 8, pp. 1871–1874, 2017.
  26. S. Buzzi, C. D’Andrea, A. Zappone, and C. D’Elia, “User-centric 5G cellular networks: Resource allocation and comparison with the cell-free massive MIMO approach,” IEEE Transactions on Wireless Communications, vol. 19, no. 2, pp. 1250–1264, 2020.
  27. E. Björnson and L. Sanguinetti, “Scalable cell-free massive MIMO systems,” IEEE Transactions on Communications, vol. 68, no. 7, pp. 4247–4261, 2020.
  28. M. M. Mojahedian and A. Lozano, “Subset regularized zero-forcing precoders for cell-free C-RANs,” in European Signal Processing Conference, 2021, pp. 915–919.
  29. M. A. Albreem, A. H. Al Habbash, A. M. Abu-Hudrouss, and S. S. Ikki, “Overview of precoding techniques for massive MIMO,” IEEE Access, vol. 9, pp. 60 764–60 801, 2021.
  30. R. Fischer, C. Windpassinger, A. Lampe, and J. Huber, “Tomlinson-Harashima precoding in space-time transmission for low-rate backward channel,” in International Zurich Seminar on Broadband Communications Access - Transmission - Networking, 2002, pp. 7–7.
  31. R. C. De Lamare and R. Sampaio-Neto, “Minimum mean-squared error iterative successive parallel arbitrated decision feedback detectors for ds-cdma systems,” IEEE Transactions on Communications, vol. 56, no. 5, pp. 778–789, 2008.
  32. M. Vu and A. Paulraj, “MIMO wireless linear precoding,” IEEE Signal Processing Magazine, vol. 24, no. 5, pp. 86–105, 2007.
  33. Y. Chen, “Low complexity precoding schemes for massive MIMO systems,” Ph.D. dissertation, Newcastle University, 2019.
  34. K. Zu, R. C. de Lamare, and M. Haardt, “Generalized design of low-complexity block diagonalization type precoding algorithms for multiuser mimo systems,” IEEE Transactions on Communications, vol. 61, no. 10, pp. 4232–4242, 2013.
  35. Y. Cai, R. C. d. Lamare, and R. Fa, “Switched interleaving techniques with limited feedback for interference mitigation in ds-cdma systems,” IEEE Transactions on Communications, vol. 59, no. 7, pp. 1946–1956, 2011.
  36. Y. Cai, R. C. de Lamare, and D. Le Ruyet, “Transmit processing techniques based on switched interleaving and limited feedback for interference mitigation in multiantenna mc-cdma systems,” IEEE Transactions on Vehicular Technology, vol. 60, no. 4, pp. 1559–1570, 2011.
  37. W. Zhang, R. C. de Lamare, C. Pan, M. Chen, J. Dai, B. Wu, and X. Bao, “Widely linear precoding for large-scale mimo with iqi: Algorithms and performance analysis,” IEEE Transactions on Wireless Communications, vol. 16, no. 5, pp. 3298–3312, 2017.
  38. Y. Cai, R. C. de Lamare, L.-L. Yang, and M. Zhao, “Robust mmse precoding based on switched relaying and side information for multiuser mimo relay systems,” IEEE Transactions on Vehicular Technology, vol. 64, no. 12, pp. 5677–5687, 2015.
  39. S. F. B. Pinto and R. C. de Lamare, “Block diagonalization precoding and power allocation for multiple-antenna systems with coarsely quantized signals,” IEEE Transactions on Communications, vol. 69, no. 10, pp. 6793–6807, 2021.
  40. A. R. Flores, R. C. de Lamare, and B. Clerckx, “Linear precoding and stream combining for rate splitting in multiuser mimo systems,” IEEE Communications Letters, vol. 24, no. 4, pp. 890–894, 2020.
  41. L. T. N. Landau and R. C. de Lamare, “Branch-and-bound precoding for multiuser mimo systems with 1-bit quantization,” IEEE Wireless Communications Letters, vol. 6, no. 6, pp. 770–773, 2017.
  42. D. M. V. Melo, L. T. N. Landau, R. C. de Lamare, P. F. Neuhaus, and G. P. Fettweis, “Zero-crossing precoding techniques for channels with 1-bit temporal oversampling adcs,” IEEE Transactions on Wireless Communications, vol. 22, no. 8, pp. 5321–5336, 2023.

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