PRECODER DESIGNS FOR MIMO MULTI-USER BROADCAST CHANNELS
Abstract: 112
| 
PDF: 145 
##plugins.themes.academic_pro.article.main##
Author
Keywords:
MIMO
SVD
BD
Zero Forcing
MMSE
broadcast channel
Abstract
Multiple-input multiple-output (MIMO) transmissions have been widely used in emerging wireless communication networks to increase system capacity and diversity gains. In MIMO systems, dirty paper coding (DPC) can be employed to maximize the capacity of multiuser downlink channels. However, DPC entails high computational complexity for practical systems. To reduce the complexity, linear multiuser encoding techniques such as Minimum Mean Square Error (MMSE) or Zero Forcing (ZF) have been studied in the recent literature. This paper studies multiuser ZF precoding for a broadcast channel. At the base station, singular value decomposition (SVD)-based ZF precoding is used to maximize the network capacity. At mobile stations, the MMSE equalizer is used to remove interference at receivers. Finally, computer simulations have been conducted to verify the performance of the considered MIMO system using the ZF precoding.
References
-
[1] GJ Foschini, MJ Gans, “On limits of wireless communications in a fading environment when using multiple antenna”. Wireless Personal Communication Mag. 6(3):311–335. 1998.
[2] H. Weingarten, Y. Steinberg, and S. Shamai, “The capacity region of the Gaussian multiple-input multiple-output broadcast channel,” IEEE Transactions on Information Theory, vol. 52, no. 9, pp. 3936–3964, Sep. 2006.
[3] Jindal, Nihar, “Sum power iterative water-filling for multi-antenna Gaussian broadcast channels”, IEEE Transactions on Information Theory 51.4 (2005): 1570-1580. no. 7, pp. 1691–1706, July 2003
[4] Kobayashi, Mari, and Giuseppe Caire. "An iterative water-filling algorithm for maximum weighted sum-rate of Gaussian MIMO-BC." IEEE Journal on Selected Areas in Communications, 24.8 (2006): 1640-1646.
[5] Lee, Juyul, and Nihar Jindal. "High SNR analysis for MIMO broadcast channels: Dirty paper coding versus linear precoding." IEEE Transactions on Information Theory, 53.12 (2007): pp: 4787-4792.
[6] L.-N. Tran, M. Juntti, M. Bengtssont, and B. Ottersten, “Beamformer designs for zero-forcing dirty paper coding,” in Proc. 2011 International Conference on Wireless Communications and Signal Processing, pp. 1– 5.
[7] Miao, Wei, et al. "On the achievable rate of ZF-DPC for MIMO broadcast channels with finite rate feedback." Communications Workshops, 2009. ICC Workshops 2009. IEEE International Conference on. IEEE, 2009.
[8] Gaur, Sudhanshu, Joydeep Acharya, and Long Gao. "Enhancing ZF-DPC Performance with Receiver Processing." IEEE Trans. Wire. Comm., 10.12 (2011): pp: 4052-4056.
[9] S. Boyd and L. Vandenberghe, Convex optimization. New York, N.Y., USA: Cambridge Univ. Press, 2004.
[10] Spencer, Quentin H., A. Lee Swindlehurst, and Martin Haardt. "Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels.", IEEE Transactions on Signal Processing 52.2 (2004): 461-471.
[11] Kaviani, Saeed, and Witold A. Krzymien. "On the optimality of multiuser zero-forcing precoding in MIMO broadcast channels." Vehicular Technology Conference, 2009. VTC Spring 2009. IEEE 69th. IEEE, 2009.
[12] Wei Liu, Lie-Liang Yang, Lajos Hanzo: SVD-Assisted Multiuser Transmitter and Multiuser Detector Design for MIMO Systems. IEEE Transaction on Vehicular Technology 58(2).
Read more
##plugins.themes.academic_pro.article.sidebar##
Published
May 31, 2014
Download
How to Cite
Nguyen Le Hung*; Nguyen Duy Nhat Vien; Tang Tan Chien. “PRECODER DESIGNS FOR MIMO MULTI-USER BROADCAST CHANNELS”. The University of Danang - Journal of Science and Technology, vol. 5, no. 78, May 2014, pp. 38-42, https://jst-ud.vn/jst-ud/article/view/153.
