Browse > Article

Regularized Channel Inversion for Multiple-Antenna Users in Multiuser MIMO Downlink  

Lee, Heun-Chul (삼성 종합기술원)
Lee, Kwang-Won (고려대학교 공과대학 전기전자전파공학부 무선통신 연구실)
Lee, In-Kyu (고려대학교 공과대학 전기전자전파공학부 무선통신 연구실)
Abstract
Channel inversion is one of the simplest techniques for multiuser downlink systems with single-antenna users. In this paper, we extend the regularized channel inversion technique developed for the single-antenna user case to multiuser multiple-input multiple-output (MIMO) channels with multiple-antenna users. We first employ the multiuser preprocessing to project the multiuser signals near the null space of the unintended users based on the MMSE criterion, and then the single-user preprocessing is applied to the decomposed MIMO interference channels. In order to reduce the complexity, we focus on non-iterative solutions for the multiuser transmit beamforming and use a linear receiver based on an MMSE criterion. Simulation results show that the proposed scheme outperforms existing joint iterative algorithms in most multiuser configurations.
Keywords
Multiuser; MIMO; Downlink; Precoder Design; Regularized CI;
Citations & Related Records
연도 인용수 순위
  • Reference
1 H. Sampath, P. Stoica, and A. Paulraj, "Generalized Linear Precoder and Decoder Design for MIMO Channels Using the Weighted MMSE Criterion," IEEE Transactions on Communications, Vol.49, pp.2198-2206, December 2001.   DOI   ScienceOn
2 J. B. Andersen, "Array Gain and Capacity for Known Random Channels with Multiple Element Arrays at Both Ends," IEEE Journal on Selected Areas in Communications, Vol.18, pp.2172-2178, November 2000.   DOI   ScienceOn
3 W. Yu, W. Rhee, S. Boyd, and J. M. Cioffi, "Iterative Water-filling for Gaussian Vector Multiple Access Channels," IEEE Transactions on Information Theory, Vol.50, pp.145-152, January 2004.   DOI   ScienceOn
4 L.-U. Choi and R. D. Murch, "A Transmit Preprocessing Technique for Multiuser MIMO Systems Using a Decomposition," IEEE Transactions on Wireless Communications, Vol.3, pp.20-24, January 2004.   DOI   ScienceOn
5 Z. Pan, K.-K. Wong, and T.-S. Ng, "Generalized Multiuser Orthogonal Space-Division Multiplexing," IEEE Transactions on Wireless Communications, Vol.6, pp.1969-1973, November 2004.
6 J. Zhang, Y. Wu, S. Zhou, and J. Wang, "Joint Linear Transmitter and Receiver Design for the Downlink of Multiuser MIMO Systems," IEEE Communications Letters, Vol.9, pp.991-993, November 2005.   DOI   ScienceOn
7 G. Caire and S. Shamai, "On the Achievable Throughput of a Multiantenna Gaussian Broadcast Channel," IEEE Transactions on Information Theory, Vol.49, pp.1691-1706, July 2003.   DOI   ScienceOn
8 A. J. Tenenbaum and R. S. Adve, "Joint Multiuser Transmit-Receive Optimization Using Linear Processing," in Proc. IEEE ICC '04, Vol.1, pp.588–592, June 2004. 6
9 G. G. Raleigh and J. M. Cioffi, "Spatio- Temporal Coding for Wireless Communication," IEEE Transactions on Communications, Vol.46, pp.357–366, March 1998.
10 D. P. Palomar, J. M. Cioffi, and M. A. Lagunas, "Joint Tx-Rx Beamforming Design for Multicarrier MIMO Channels: A Unified Framework for Convex Optimization," IEEE Transactions on Signal Processing, Vol.51, pp.2381-2401, September 2003.   DOI   ScienceOn
11 C. B. Peel, B. Hochwald, and A. L. Swindlehurst, "A Vector-Perturbation Technique for Near-Capacity Multiantenna Multiuser Communication-Part I: Channel Inversion and Regularization," IEEE Transactions on Communications, Vol.53, pp.195–202, January 2005.
12 Q. H. Spencer, A. L. Swindlehurst, and M. Haardt, "Zero-Forcing methods for Downlink Spatial Multiplexing in Multiuser MIMO Channels," IEEE Transactions on Signal Processing, Vol.52, pp.461-471, February 2004.   DOI   ScienceOn
13 A. Bourdoux and N. Khaled, "Joint TX-RX optimisation for MIMOSDMA based on a null-space constraint," in Proc. IEEE VTC '02, pp.171-174, September 2002.