A Successive Iterative Optimal Pre-Coding Algorithm for Downlink Multi-User MIMO System

Abstract:

Spatial multiplexing in the multi-user MIMO downlink allows each user in the system to receive multiple data subchannels simultaneously using the same time and spectral resources. In this paper, a successive iterative optimal algorithm based on signal-to-leakage-and-noise-ratio (SLNR) maximization algorithm is proposed, which make use of the unused subspace of some known users to improve the space gain of the other users and has no strict constraint on transmit and receive antennas numbers. According to the simulation results, the proposed algorithm outperforms the original SLNR algorithm, and has a considerable improvement in the system performance.

• Periodical: Advanced Materials Research (Volumes 457-458)
• Pages: 1012-1018
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.457-458.1012
• Online since: January 2012
• Authors: Xian Kun Gao, Jian Hua Qu, Chuan An Yao, Yong Chang Yu
• Keywords: Block Diagonalization (BD), Generalized Eigenvalue Decomposition (GEVD), Multi-User MIMO, Signal-to-Leakage-and-Noise-Ratio (SLNR), Singular Value Decomposition (SVD)

References

[1] A. Goldsmith, S.A. Jafar, N. Jindal, and S. Vishwanath, Capacity limits of MIMO channels, IEEE Journals on Selected Areas in Communications. Vol. 21 (2003) No. 5, pp.684-702.

DOI: 10.1109/jsac.2003.810294

[2] H.S. Quentin, B.P. Christian, A. Lee Swindlehurst, et al, An introduction to the multi-user MIMO downlink, IEEE communications Magazine, Vol. 42 (2004) No. 10, pp.60-67.

DOI: 10.1109/mcom.2004.1341262

[3] R.W. Heath, M. Airy, and A.J. Paulraj, Multiuser diversity for MIMO wireless systems with linear receivers, Proc. IEEE International Conf. on Signals, Systems and Computers (Asilomar, USA, Nov. 4-7, 2001). Vol. 2, pp.1194-1199.

DOI: 10.1109/acssc.2001.987680

[4] N. Jindal, A. Goldsmith, Dirty-paper coding versus TDMA for MIMO Broadcast channels, IEEE Transactions on Information Theory, Vol. 51, (2005) No. 5, pp.1783-1794.

DOI: 10.1109/tit.2005.846425

[5] V. Stankovic, M. Haardt, Successive optimization Tomlinson-Harashima precoding (SO THP) for multi-user MIMO systems, Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (Philadelphia, USA, March 19-23, 2005), Vol. 3, pp.18-23.

DOI: 10.1109/icassp.2005.1415910

[6] P.L. Athanasios, Tomlinson-Harashima precoding with partial channel knowledge, IEEE Transactions on Communications, Vol. 53 (2005) No. 1, pp.5-9.

DOI: 10.1109/tcomm.2004.840669

[7] C.B. Peel, B.M. Hochwald, and A.L. Swindelhurst, A vector-perturbation technique for near-capacity multiantenna multiuser communication-part I: channel inversion and regularization, IEEE Transactions on Communications, Vol. 53, (2005).

DOI: 10.1109/tcomm.2004.840638

[8] Q.H. Spencer, A.L. Swindelhurst, and M. Haardt, Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels, IEEE Transactions on Signal Processing, Vol. 52, (2004) No. 2, pp.461-471.

DOI: 10.1109/tsp.2003.821107

[9] L.U. Choi, R.D. Murch, A transmit preprocessing technique for multiuser MIMO systems using a decomposition approach, IEEE Transactions on Wireless Communications, Vol. 3, (2004) No. 1, pp.20-24.

DOI: 10.1109/twc.2003.821148

[10] M. Sadek, A. Tarighat, and A.H. Sayed, A leakage-based precoding scheme for downlink multi- user MIMO channels, IEEE Transactions on Wireless Communications, Vol. 6, (2007) No. 5, pp.1711-1721.

DOI: 10.1109/twc.2007.360373

[11] J. Liu, W. Krzymien, Improved Tomlinson-Harashima precoding for the downlink of multiple antenna multi-user systems [mobile radio applications], Proc. IEEE Wireless Communications and Networking Conference (New Orleans, USA, March 13-17, 2005), Vol. 1, pp.466-472.

DOI: 10.1109/wcnc.2005.1424545