A Power Allocation Scheme Using Updated SLNR Value Based on Perturbation Theory

Wenwen  Cao; Zi  Teng; Jun  Wu

doi:10.4236/cn.2013.53B2035

Wenwen Cao, Zi Teng, Jun Wu

Abstract: The performance of downlink multiple-input multiple-output (MIMO) cellular networks is limited by co-channel interference (CCI). In this paper, we propose a linear precoding scheme based on signal-to-leakage-and-noise ratio (SLNR) criteria which can reduce the CCI significantly. Since each user’s SLNR value is corresponding to the largest eigenvalue of the generalized matrix which indicates the channel quality that we propose a scheme to do a dynamic power allocation as an auxiliary way to improve SLNR precoding scheme. We use the perturbation theory to update each user’s SLNR value each time step in time-varying channels rather than directly decompose the channel matrix so as to reduce the amount of calculation. The simulation results show that the proposed scheme offers about 0.3 bps/Hz additional capacity gain and 0.5 dB BER gain over conventional SLNR precoding method with lower computational complexity. And it also obtains about 0.5 bps/Hz additional capacity gain and 1 dB BER gain compared to the scheme only update the preceding vectors.

Keywords: Updated SLNR Value; Perturbation Theory; Power Allocation

Cite this paper: Cao, W. , Teng, Z. and Wu, J. (2013) A Power Allocation Scheme Using Updated SLNR Value Based on Perturbation Theory. Communications and Network, 5, 181-186. doi: 10.4236/cn.2013.53B2035.

References

[1] C. Windpassinger, R. F. H. Fisher, T. Vencel, and J. B. Huber, “Precoding in multiantenna and multiuser communications,” IEEE Trans. Wireless Communications, Vol. 3, No. 4, 2004, pp. 1305-1316. doi:10.1109/TWC.2004.830852

[2] M. Costa, “Writing on Dirty Paper,” IEEE Transactions Information Theory, Vol. 29, No. 3, 1983, pp. 439-441. doi:10.1109/TIT.1983.1056659

[3] C. B. Ribeiro, K. Hugl, M. Lampinen and M. Kuusela, “Performance of Linear Multi-user MIMO Precoding in LTE System,” Wireless Pervasive Computing, 2008. ISWPC 2008. 3rd International Symposium on, 7-9 May 2008, pp. 410-414.

[4] M. Joham, W. Utschick and J. A. Nossek, “Linear Transmit Processing in MIMO Communications Systems,” IEEE Transactions Signal Process., Vol. 53, No. 8, 2005, pp. 2700-2712. doi:10.1109/TSP.2005.850331

[5] C. B. Peel, B. M. Hochwald and A. L. Swindlehurst, “A Vector-perturbation Technique for Near-capacity Multian-tenna Multiuser Communication—Part I: Channel Inversion and Regularization,” IEEE Transactions Communications, Vol. 53, No. 1, 2005, pp. 195-202. doi:10.1109/TCOMM.2004.840638

[6] Q. H. Spencer, A. L. Swindlehurst and M. Haardt, “Zero-forcing Methods for Downlink Spatial Multiplexing in Multiuser MIMO Channels,” IEEE Transactions Signal. Processing, Vol. 52, No. 2, 2004, pp. 461-471. doi:10.1109/TSP.2003.821107

[7] Q. H. Spencer, A. L. Swindlehurst and M. Haardt, “Zero-Forcing Methods for Downlink Spatial Multiplexing in Multiuser MIMO channels,”

[8] M. S chubert and H . Boche, “Solution of the Multiuser Downlink Beam-forming Problem with Individual SINR Constraints,” IEEE Transactions on Vehicular Technology, Vol. 53, No. 1, 2004, pp. 18-28.

[9] M. Sadek, A. Tarighat and A. H. Sayed, “A Leakage-based Precoding Scheme for Downlink Multi-user MIMO Channels,” IEEE Transactions Wireless Communications, Vol. 6, No. 5, 2007, pp. 1711-1721. doi:10.1109/TWC.2007.360373

[10] A. Tarighat, M. Sadek and A. H. Sayed, “A Multi User Beam-forming Scheme for Downlink MIMO Channels Based on Maximizing Signal-to-leakage Ratios,” in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process., Philadelphia, PA, Mar. Vol. 3, 2005, pp. 1129 -1132.

[11] H. Yu, J. C. Shin and S.-k. Lee, “Multi-user MIMO Downlink Beamforming Based on Perturbation Theory of Generalized Eigenvector,” Wireless Communication Systems (ISWCS), 2012 International Symposium on, pp. 141-145, 28-31 Aug. 2012.

[12] P. Viswanath, D. N. C. Tse and V. Anantharam, “Asymptotically Optimal Waterfilling in Multiple Antenna Multiple Access Channels,” Information Theory, 2000. Proceedings. IEEE International Symposium on, pp. 466, 2000.

[13] W. Yu, W. Rhee, J. M. Cioffi, “Optimal Power Control in Multiple Access Fading Channels with Multiple Antennas,” Communications, 2001. ICC 2001. IEEE International Conference on, Vol. 2, 2001, pp. 575-579.

[14] H. Yu, Y. Sung, H. Kim and Y. H. Lee, “Beam Tracking for Interference Alignment in Slowly Fading MIMO Interference Channels: A Perturbations Approach Under a Linear Framework,” Signal Processing, IEEE Transactions on, Vol. 60, No. 4, 2012, pp. 1910-1926.

[15] R.-C. Li, “Matrix Perturbation Theory,” http://www.uta.edu/faculty/rcli/papers/li2007HLA.pdf.