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http://dx.doi.org/10.7840/kics.2012.37A.9.753

Power Allocation Algorithms for ZF-THP Sum Rate Optimization in Multi-user Multi-antenna Systems  

Lee, Wookbong (고려대학교 전기전자전파공학과)
Song, Changick (고려대학교 전기전자전파공학과)
Lee, Sangrim (고려대학교 전기전자전파공학과)
Lee, Kilbom (고려대학교 전기전자전파공학과)
Kwak, Jin Sam (LG 전자 차세대통신연구소)
Lee, Inkyu (고려대학교 전기전자전파공학과)
Abstract
In this paper, we study a power allocation technique for Tomlinson-Harashima precoding (THP) in multi-user multiple input single output (MISO) downlink systems. In contrast to previous approaches, a mutual information based method is exploited for maximizing the sum rate of zero-forcing THP systems. Then, we propose a simple power allocation algorithm which assigns proper power level for modulo operated users. Simulation results show that the proposed scheme outperforms a conventional water-filling method, and it provides similar performance with near optimal method with much reduced complexity.
Keywords
ZF-THP; MIMO BC; Power Allocation; Mutual Information;
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1 H.-S. Han, S.-H. Park, S. Lee, and I. Lee, "Modulo Loss Reduction for Vector Perturbation Systems," IEEE Transactions on Communications, vol. 58, pp. 3392-3397, Dec. 2010.   DOI   ScienceOn
2 S.-H. Park, H.-S. Han, and I. Lee, "A Decoupling Approach for Low-Complexity Vector Perturbation in Multiuser Downlink Systems," IEEE Transactions on Wireless Communications, vol. 10, pp. 1697-1701, Jun. 2011.   DOI   ScienceOn
3 S. Boyd and L. Vandenberghe, Convex Optimization. Cambridge, 2004.
4 W. Yu and J. M. Cioffi, "Sum Capacity of Gaussian Vector Broadcast Channels," IEEE Transactions on Information Theory, vol. 50, pp. 1875-1892, Sep. 2004.   DOI   ScienceOn
5 Q. Li, G. Li, W. Lee, M. Lee, D. Mazzarese, B. Clerckx, and Z. Li, "MIMO techniques in WiMAX and LTE: a feature overview," IEEE Communication Magazine, vol. 48, pp. 86-92, May. 2010.
6 S. Vishwanath, N. Jindal, and A. Goldsmith, "Duality, Achievable Rates, and Sum-Rate Capacity of Gaussian MIMO Broadcast Channels," IEEE Transactions on Information Theory, vol. 49, pp. 2658-2668, Oct. 2003.   DOI   ScienceOn
7 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, Feb. 2004.   DOI   ScienceOn
8 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, Jul. 2003.   DOI   ScienceOn
9 C. Windpassinger, R. F. Fisher, T. Vencel, and J. B. Huber, "Precoding in Multiantenna and Multiuser Communications," IEEE Transactions on Wireless Communications, vol. 3, pp. 1305-1316, Jul. 2004.   DOI   ScienceOn
10 S. Vishwanath, N. Jindal, and A. Goldsmith, "Duality, Achievable Rates, and Sum-Rate Capacity of Gaussian MIMO Breadcast Channels," IEEE Transactions on Information Theory, vol. 49, pp. 2658-2668, Oct. 2003.   DOI   ScienceOn
11 J. G. Andrews, W. Choi, and Robert W. Heath Jr., "Overcoming Interference in Spatial Multiplexing MIMO Cellular Networks," IEEE Transactions on Information Theory, vol. 14, pp. 95-104, Dec. 2007.
12 W. Yu, D. P. Varodayan, and J. M. Cioffi, "Trellis and Convolutional Precoding for Transmitter-Based Interference Presubtraction," IEEE Transactions on Communication, vol. 53, pp. 1220-1230, Jul. 2005.   DOI   ScienceOn
13 C.-H. F. Fung, W. Yu, and T. J. Lim, "Precoding for the Multiantenna Downlink: Multiuser SNR Gap and Optimal User Ordering," IEEE Transactions on Communication, vol. 55, pp. 188-197, Jan. 2007.   DOI   ScienceOn