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Mutual Information Density of Massive MIMO Systems over Rayleigh-Product Channels

Published 17 Oct 2022 in cs.IT, math.IT, math.ST, and stat.TH | (2210.08832v5)

Abstract: The Rayleigh-product channel model is utilized to characterize the rank deficiency caused by keyhole effects. However, the finite blocklength analysis for Rayleigh product channels is not available in the literature. In this paper, we will characterize the mutual information density (MID) and perform the FBL analysis to reveal the impact of rank-deficiency in Rayleigh-product channels. To this end, we first set up a central limit theorem for the MID over Rayleigh-product MIMO channels in the asymptotic regime where the number of scatterers, number of antennas, and blocklength go to infinity at the same pace. Then, we utilize the CLT to obtain the upper and lower bounds for the packet error probability, whose approximations in the high and low signal to noise ratio regimes are then derived to illustrate the impact of rank deficiency. One interesting observation is that rank-deficiency degrades the performance of MIMO systems with FBL and the fundamental limits of Rayleigh-product channels degenerate to those of the Rayleigh case when the number of scatterers approaches infinity.

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References (49)
  1. E. Telatar, “Capacity of multi-antenna gaussian channels,” European transactions on telecommunications, vol. 10, no. 6, pp. 585–595, 1999.
  2. M. Chiani, M. Z. Win, and A. Zanella, “On the capacity of spatially correlated MIMO rayleigh-fading channels,” IEEE Trans. Inf. Theory, vol. 49, no. 10, pp. 2363–2371, Oct. 2003.
  3. M. R. McKay, P. J. Smith, H. A. Suraweera, and I. B. Collings, “On the mutual information distribution of OFDM-based spatial multiplexing: exact variance and outage approximation,” IEEE Trans. Inf. Theory, vol. 54, no. 7, pp. 3260–3278, Jul. 2008.
  4. C. Zhong, S. Jin, K.-K. Wong, and M. R. McKay, “Ergodic mutual information analysis for multi-keyhole MIMO channels,” IEEE Trans. Wireless Commun., vol. 10, no. 6, pp. 1754–1763, Nov. 2011.
  5. S. Li, M. R. McKay, and Y. Chen, “On the distribution of MIMO mutual information: An in-depth painlevé-based characterization,” IEEE Trans. Inf. Theory, vol. 59, no. 9, pp. 5271–5296, Sep. 2013.
  6. M. Hayashi, “Information spectrum approach to second-order coding rate in channel coding,” IEEE Trans. Inf. Theory, vol. 55, no. 11, pp. 4947–4966, Nov. 2009.
  7. Y. Polyanskiy, H. V. Poor, and S. Verdú, “Channel coding rate in the finite blocklength regime,” IEEE Trans. Inf. Theory, vol. 56, no. 5, pp. 2307–2359, May. 2010.
  8. V. Strassen, “Asymptotische abschatzugen in shannon’s informationstheorie,” in Transactions of the Third Prague Conference on Information Theory etc, 1962. Czechoslovak Academy of Sciences, Prague, 1962, pp. 689–723.
  9. V. Y. F. Tan and M. Tomamichel, “The third-order term in the normal approximation for the AWGN channel,” IEEE Trans. Inf. Theory, vol. 61, no. 5, pp. 2430–2438, May. 2015.
  10. Y. Polyanskiy and S. Verdú, “Scalar coherent fading channel: Dispersion analysis,” in Proc. IEEE Int. Symp. Inf. Theory. (ISIT), St. Petersburg, Russia, Aug. 2011, pp. 2959–2963.
  11. W. Yang, G. Durisi, T. Koch, and Y. Polyanskiy, “Quasi-static SIMO fading channels at finite blocklength,” in Proc. IEEE Int. Symp. Inf. Theory. (ISIT), Istanbul, Turkey, Jul. 2013, pp. 1531–1535.
  12. V. Y. Tan et al., “Asymptotic estimates in information theory with non-vanishing error probabilities,” Foundations and Trends® in Communications and Information Theory, vol. 11, no. 1-2, pp. 1–184, 2014.
  13. J. Hoydis, R. Couillet, and P. Piantanida, “The second-order coding rate of the MIMO quasi-static Rayleigh fading channel,” IEEE Trans. Inf. Theory, vol. 61, no. 12, pp. 6591–6622, Dec. 2015.
  14. L. Zhou, A. Wolf, and M. Motani, “On lossy multi-connectivity: Finite blocklength performance and second-order asymptotics,” IEEE J. Sel. Areas Commun., vol. 37, no. 4, pp. 735–748, Apri. 2019.
  15. A. Collins and Y. Polyanskiy, “Coherent multiple-antenna block-fading channels at finite blocklength,” IEEE Trans. Inf. Theory, vol. 65, no. 1, pp. 380–405, Jul. 2018.
  16. A. Berry, “The accuracy of the Gaussian approximation to the sum of independent variates,” Trans. Amer. Math. Soc., vol. 49, no. 1, pp. 122–136, 1941 .
  17. W. Hachem, O. Khorunzhiy, P. Loubaton, J. Najim, and L. Pastur, “A new approach for mutual information analysis of large dimensional multi-antenna channels,” IEEE Trans. Inf. Theory, vol. 54, no. 9, pp. 3987–4004, Sep. 2008.
  18. W. Hachem, P. Loubaton, and J. Najim, “A CLT for information-theoretic statistics of gram random matrices with a given variance profile,” Ann. Appl. Probability, vol. 18, no. 6, pp. 2071––2130, 2008.
  19. W. Hachem, M. Kharouf, J. Najim, and J. W. Silverstein, “A CLT for information-theoretic statistics of non-centered Gram random matrices,” Random Matrices: Theory. Appl., vol. 1, no. 2, p. 1150010, Dec. 2012.
  20. Z. Bao, G. Pan, and W. Zhou, “Asymptotic mutual information statistics of MIMO channels and CLT of sample covariance matrices,” IEEE Trans. Inf. Theory, vol. 61, no. 6, pp. 3413–3426, Jun. 2015.
  21. J. Hu, W. Li, and W. Zhou, “Central limit theorem for mutual information of large MIMO systems with elliptically correlated channels,” IEEE Trans. Inf. Theory, vol. 65, no. 11, pp. 7168–7180, Nov. 2019.
  22. M. A. Kamath and B. L. Hughes, “The asymptotic capacity of multiple-antenna Rayleigh-fading channels,” IEEE Trans. Inf. Theory, vol. 51, no. 12, pp. 4325–4333, Dec. 2005.
  23. X. Zhang, S. Song, and K. B. Letaief, “Fundamental limits of holographic MIMO channels: Tackling non-separable transceiver correlation,” arXiv preprint arXiv:2304.00223, 2023.
  24. P. Almers, F. Tufvesson, and A. F. Molisch, “Keyhole effect in MIMO wireless channels: Measurements and theory,” IEEE Trans. Wireless Commun., vol. 5, no. 12, pp. 3596–3604, Dec. 2006.
  25. D. Gesbert, H. Bolcskei, D. A. Gore, and A. J. Paulraj, “Outdoor MIMO wireless channels: Models and performance prediction,” IEEE Trans. Commun., vol. 50, no. 12, pp. 1926–1934, Dec. 2002.
  26. X. Zhang, X. Yu, S. Song, and K. B. Letaief, “IRS-aided MIMO systems over double-scattering channels: Impact of channel rank deficiency,” in Proc. IEEE Wireless Commun. Netw. Conf. (WCNC), Austin, TX, USA, Apr. 2022, pp. 2076–2081.
  27. Z. Zheng, L. Wei, R. Speicher, R. R. Müller, J. Hämäläinen, and J. Corander, “Asymptotic analysis of Rayleigh product channels: A free probability approach,” IEEE Trans. Inf. Theory, vol. 63, no. 3, pp. 1731–1745, Mar. 2016.
  28. X. Zhang, X. Yu, and S. Song, “Outage probability and finite-SNR DMT analysis for IRS-aided MIMO systems: How large IRSs need to be?” IEEE J. Sel. Topics Signal Process., vol. 16, no. 5, pp. 1070–1085, Aug. 2022.
  29. X. Zhang and S. Song, “Asymptotic mutual information analysis for double-scattering MIMO channels: A new approach by Gaussian tools,” IEEE Trans. Inf. Theory, vol. 69, no. 9, pp. 5497–5527, Sep. 2023.
  30. X. You, B. Sheng, Y. Huang, W. Xu, C. Zhang, D. Wang, P. Zhu, and C. Ji, “Closed-form approximation for performance bound of finite blocklength massive MIMO transmission,” arXiv preprint arXiv:2206.07243, Jun. 2022.
  31. F. Götze, A. Naumov, and A. Tikhomirov, “Distribution of linear statistics of singular values of the product of random matrices,” Bernoulli, vol. 23, no. 4B, pp. 3067––3113, 2017.
  32. A. Lytova and L. Pastur, “Central limit theorem for linear eigenvalue statistics of random matrices with independent entries,” Ann. Probab., vol. 37, no. 5, pp. 1778––1840, 2009.
  33. L. A. Pastur, “A simple approach to the global regime of Gaussian ensembles of random matrices,” Ukrainian Math. J., vol. 57, no. 6, pp. 936–966, Jun. 2005.
  34. W. Yang, G. Durisi, T. Koch, and Y. Polyanskiy, “Quasi-static multiple-antenna fading channels at finite blocklength,” IEEE Trans. Inf. Theory, vol. 60, no. 7, pp. 4232–4265, Jul. 2014.
  35. S. Jin, M. R. McKay, K.-K. Wong, and X. Gao, “Transmit beamforming in Rayleigh product MIMO channels: Capacity and performance analysis,” IEEE Trans. Signal Process., vol. 56, no. 10, pp. 5204–5221, Oct. 2008.
  36. L. Zhou, V. Y. Tan, and M. Motani, “The dispersion of mismatched joint source-channel coding for arbitrary sources and additive channels,” IEEE Trans. Inf. Theory, vol. 65, no. 4, pp. 2234–2251, Apri. 2018.
  37. J. Hoydis, R. Couillet, and M. Debbah, “Asymptotic analysis of double-scattering channels,” in Proc. Conf. Rec. 45th Asilomar Conf. Signals, Syst. Comput. (ASILOMAR), Pacific Grove, CA, USA, Nov. 2011, pp. 1935–1939.
  38. S. Verdú and S. Shamai, “Spectral efficiency of CDMA with random spreading,” IEEE Trans. Inf. Theory, vol. 45, no. 2, pp. 622–640, Mar. 1999.
  39. X. Zhang and S. Song, “Mutual information density of massive MIMO systems over Rayleigh-product channels,” arXiv preprint arXiv:2210.08832, Aug. 2023.
  40. M. Tomamichel and V. Y. Tan, “Second-order coding rates for channels with state,” IEEE Trans. Inf. Theory, vol. 60, no. 8, pp. 4427–4448, Aug. 2014.
  41. S.-Q. Le, V. Y. Tan, and M. Motani, “A case where interference does not affect the channel dispersion,” IEEE Trans. Inf. Theory, vol. 61, no. 5, pp. 2439–2453, May. 2015.
  42. X. Zhang and S. Song, “Bias for the trace of the resolvent and its application on non-Gaussian and non-centered MIMO channels,” IEEE Trans. Inf. Theory, vol. 68, no. 5, pp. 2857–2876, May. 2022.
  43. “IEEE standard for air interface for broadband wireless access systems,” IEEE Std 802.16-2017 (Revision of IEEE Std 802.16-2012), 2018.
  44. S. H. Muller-Weinfurtner, “Coding approaches for multiple antenna transmission in fast fading and ofdm,” IEEE Trans. Signal Process., vol. 50, no. 10, pp. 2442–2450, Oct. 2002.
  45. M. R. McKay and I. B. Collings, “Capacity and performance of MIMO-BICM with zero-forcing receivers,” IEEE Trans. Commun., vol. 53, no. 1, pp. 74–83, Jan. 2005.
  46. A. L. Moustakas, G. C. Alexandropoulos, and M. Debbah, “Reconfigurable intelligent surfaces and capacity optimization: A large system analysis,” IEEE Trans. Wireless Commun., vol. 22, no. 12, pp. 8736–8750, Dec. 2023.
  47. C. Potter, K. Kosbar, and A. Panagos, “On achievable rates for MIMO systems with imperfect channel state information in the finite length regime,” IEEE Trans. Commun., vol. 61, no. 7, pp. 2772–2781, Jul. 2013.
  48. J. Hoydis, R. Couillet, and M. Debbah, “Iterative deterministic equivalents for the performance analysis of communication systems,” arXiv preprint arXiv:1112.4167, 2011.
  49. X. Zhang and S. Song, “Secrecy analysis for IRS-aided wiretap MIMO communications: Fundamental limits and system design,” IEEE Trans. Inf. Theory, early access, Nov. 2023, doi: 10.1109/TIT.2023.3336648.
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