Large System Analysis of Cooperative Multi-Cell Downlink Transmission via Regularized Channel Inversion with Imperfect CSIT | IEEE Journals & Magazine | IEEE Xplore

Large System Analysis of Cooperative Multi-Cell Downlink Transmission via Regularized Channel Inversion with Imperfect CSIT


Abstract:

In this paper, we analyze the ergodic sum-rate of a multi-cell downlink system with base station (BS) cooperation using regularized zero-forcing (RZF) precoding. Our mode...Show More

Abstract:

In this paper, we analyze the ergodic sum-rate of a multi-cell downlink system with base station (BS) cooperation using regularized zero-forcing (RZF) precoding. Our model assumes that the channels between BSs and users have independent spatial correlations and imperfect channel state information at the transmitter (CSIT) is available. Our derivations are based on large dimensional random matrix theory (RMT) under the assumption that the numbers of antennas at the BS and users approach to infinity with some fixed ratios. In particular, a deterministic equivalent expression of the ergodic sum-rate is obtained and is instrumental in getting insight about the joint operations of BSs, which leads to an efficient method to find the asymptotic-optimal regularization parameter for the RZF. In another application, we use the deterministic channel rate to study the optimal feedback bit allocation among the BSs for maximizing the ergodic sum-rate, subject to a total number of feedback bits constraint. By inspecting the properties of the allocation, we further propose a scheme to greatly reduce the search space for optimization. Simulation results demonstrate that the ergodic sum-rates achievable by a subspace search provides comparable results to those by an exhaustive search under various typical settings.
Published in: IEEE Transactions on Wireless Communications ( Volume: 12, Issue: 10, October 2013)
Page(s): 4801 - 4813
Date of Publication: 23 August 2013

ISSN Information:

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I. Introduction

Multi-user multiple-input multiple-output (MU-MIMO) has been well recognized as an effective means to increase capacity in the downlink [1]–[3]. However, challenges arise in practical cellular systems where inter-cell interference remains the bottleneck limiting the achievable performance. Therefore, base station (BS) cooperation was recently proposed as a way to alleviate the issue, e.g., [4]–[10], which is greatly motivated by the fact that BSs may be connected via high-speed backhaul links and the channel state information (CSI) and/or data and/or precoding matrices can be shared among the BSs for coordinated transmission. Such BS cooperation in the downlink can improve sum-rates and reduce outage as compared to the conventional or single-cell signal processing where the interference (often from other cells) is treated as noise.

Select All
1.
Q. H. Spencer, C. B. Peel, A. L. Swindlehurst and M. Haardt, "An introduction to the multiuser MIMO downlink", IEEE Commun. Mag., vol. 42, no. 10, pp. 60-67, Oct. 2004.
2.
D. Gesbert, M. Kountouris, R. W. Heath, C.-B. Chae and T. Salzer, "Shifting the MIMO paradigm", IEEE Signal Process. Mag., vol. 24, no. 5, pp. 36-46, Sept. 2007.
3.
"Further advancements for E-UTRA: LTE-Advanced feasibility studies in RAN WG4", 3GPP TR 36.815 Tech. Rep., Mar. 2010.
4.
M. Karakayali, G. Foschini and R. Valenzuela, "Network coordination for spectrally efficient communications in cellular systems", IEEE Wireless Commun. Mag., vol. 13, no. 4, pp. 56-61, Aug. 2006.
5.
O. Somekh, B. M. Zaidel and S. Shamai, "Sum rate characterization of joint multiple cell-site processing", IEEE Trans. Inf. Theory, vol. 53, no. 12, pp. 4473-4497, Dec. 2007.
6.
S. Jing, D. N. C. Tse, J. Hou, J. B. Soriaga, J. E. Smee and R. Padovani, "Multi-cell downlink capacity with coordinated processing", EURASIP J. Wireless Commun. Netw., vol. 2008, pp. 1-19, 2008.
7.
O. Somekh, O. Simeone, Y. Bar-Ness, A. M. Haimovich and S. Shamai, "Cooperative multicell zero-forcing beamforming in cellular downlink channels", IEEE Trans. Inf. Theory, vol. 2009, no. 7, pp. 3206-3219, July 2009.
8.
G. Boudreau, J. Panicker, N. Guo, R. Chang, N. Wang and S. Vrzic, "Interference coordination and cancellation for 4G networks", IEEE Commun. Mag., vol. 47, no. 4, pp. 74-81, Apr. 2009.
9.
D. Gesbert, S. Hanly, H. Huang, S. Shamai, O. Simeone and W. Yu, "Multi-cell MIMO cooperative networks: a new look at interference", IEEE J. Sel. Areas Commun., vol. 28, no. 9, pp. 1-29, Dec. 2010.
10.
C.-K. Wen and K.-K. Wong, "On the sum-rate of uplink MIMO cellular systems with amplify-and-forward relaying and collaborative base stations", IEEE J. Sel. Areas Commun., vol. 28, no. 9, pp. 1409-1424, Dec. 2010.
11.
G. Caire, S. A. Ramprashad and H. C. Papadopoulos, "Rethinking network MIMO: Cost of CSIT performance analysis and architecture comparisons", Proc. 2010 Inf. Theory Applications Workshop, pp. 1-10.
12.
R. Bhagavatula and R. W. Heath, "Adaptive limited feedback for sum-rate maximizing beamforming in cooperative multicell systems", IEEE Trans. Signal Process., vol. 59, no. 2, pp. 800-811, Feb. 2011.
13.
N. Lee and W. Shin, "Adaptive feedback scheme on K-cell MISO interfering broadcast channel with limited feedback", IEEE Trans. Wireless Commun., vol. 10, no. 2, pp. 401-406, Feb. 2011.
14.
F. Yuan, C. Yang, G. Wang and M. Lei, "Adaptive channel feedback for coordinated beamforming in heterogeneous networks", IEEE Trans. Wireless Commun., 2013.
15.
N. Vucic and H. Boche, "Robust QoS-constrained optimization of downlink multiuser MISO systems", IEEE Trans. Signal Process., vol. 57, no. 2, pp. 714-725, Feb. 2009.
16.
A. Tajer, N. Prasad and X. D. Wang, "Robust linear precoder design for multi-cell downlink transmission", IEEE Trans. Signal Process., vol. 59, no. 1, pp. 235-251, Jan. 2011.
17.
K. Y. Wang, T. H. Chang, W. K. Ma, A. M. C. So and C. Y. Chi, "Probabilistic SINR constrained robust transmit beamforming: a Bernstein-type inequality based conservative approach", Proc. 2011 IEEE International Conf. Acoustics Speech Signal Process., pp. 3080-3083.
18.
E. Bj, G. Zheng, M. Bengtsson and B. Ottersten, "Robust monotonic optimization framework for multicell MISO systems", IEEE Trans. Signal Process., vol. 60, no. 5, pp. 2508-2523, May 2012.
19.
D. Samardzija, H. Huang, T. Sizer and R. Valenzuela, "Experimental downlink multiuser MIMO system with distributed and coherentlycoordinated transmit antennas", Proc. 2007 International Conf. Commun., pp. 5365-5370.
20.
R. Irmer, H.-P. Mayer, A. Weber, V. Braun, M. Schmidt, M. Ohm, et al., "Multisite field trial for LTE and advanced concepts", IEEE Commun. Mag., vol. 47, no. 2, pp. 92-98, Feb. 2009.
21.
V. Jungnickel, A. Forck, S. Jaeckel, F. Bauermeister, S. Schiffermueller, S. Schubert, et al., "Field trials using coordinated multi-point transmission in the downlink", Proc. 2010 Int. Workshop Wireless Distributed Netw.
22.
R. Irmer, H. Droste, P. Marsch, M. Grieger, G. Fettweis, S. Brueck, et al., "Coordinated multipoint: concepts performance and field trial results", IEEE Commun. Mag., vol. 49, no. 2, pp. 102-111, Feb. 2011.
23.
"Evaluation scenarios and assumptions for intra-eNB CoMP", RAN1 # 59bis, Jan. 2010.
24.
"Views on CoMP evaluation methodology", RAN1 # 63bis, Jan. 2011.
25.
M. Joham, K. Kusume, M. H. Gzara, W. Utschick and J. A. Nossek, "Transmit Wiener filter for the downlink of TDDDS-CDMA systems", Proc. 2002 IEEE Int. Symp. Spread-Spectrum Tech. Appl., vol. 1, pp. 9-13.
26.
C. B. Peel, B. M. Hochwald and A. L. Swindlehurst, "A vector-perturbation technique for near-capacity multiantenna multiuser communication—part I: channel inversion and regularization", IEEE Trans. Commun., vol. 53, no. 1, pp. 195-202, Jan. 2005.
27.
R. Muharar and J. Evans, "Downlink beamforming with transmit-side channel correlation: a large system analysis", Proc. 2011 IEEE Internatinal Conf. Commun., pp. 1-5.
28.
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, July 2012.
29.
V. K. Nguyen and J. S. Evans, "Multiuser transmit beamforming via regularized channel inversion: a large system analysis", Proc. 2008 IEEE Globecom Conf.
30.
J. Hoydis, S. ten Brink and M. Debbah, "Massive MIMO in the UL/DL of cellular networks: how many antennas do we need", IEEE J. Sel. Areas Commun., vol. 31, no. 2, pp. 160-171, Feb. 2013.

References

References is not available for this document.