1. Wesel R D, Cioffi J M. Achievable rates for Tomlinsion-Harashima precoding. IEEE Transactions on Information Theory, 1998, 44(2): 824-831
2. Bizaki H K, Falahati A. Tomlinsion-Harashima precoding with imperfect channel state information. IET Communications, 2008, 2(1): 151-158
3. Dietrich F A, Breun P, Utschick W. Robust Tomlinson-Harashima precoding for the wireless broadcast channel. IEEE Transactions on Signal Processing, 2007, 55(2): 631-644
4. Zheng Y R, Xiao C S. Simulation models with correct statistical properties for Rayleigh fading channels. IEEE Transactions on Communications, 2003, 51(6): 920-928
5. Vu M, Paulraj A. On the capacity of MIMO wireless channels with dynamic CSIT. IEEE Journal on Selected Areas in Communications, 2007, 25(7): 1269-1283
6. Dietrich F A. Robust signal processing for wireless communication. Beilin, Germany: Springer, 2007
7. Kusume K, Joham M, Utschick W, et al. Cholesky factorization with symmetric permutation applied to detecting and precoding spatially multiplexed data streams. IEEE Transactions on Signal Processing, 2007, 55(6): 3089-3103
8. Zhang X D. Matrix analysis and applications. Beijing, China: Tsinghua University Press, 2005 (in Chinese)
9. Pedersen K I, Andersen J B, Kermoal J P, et al. A stochastic multiple-input-multiple-output radio channel model for evaluation of space-time coding algorithms. Proceedings of the Vehicular Technology Conference (VTC-Fall’00): Vol 2, Sep 24-28, 2000, Boston, MA, USA. Piscataway, NJ, USA: IEEE, 2000: 893-897
10. Li X M, Bai B M. Precoding based on minimum mean square error for multi-user MIMO downlinks. Journal of Chongqing University of Posts and Telecommunications (Natural Science), 2010, 22(1): 11-13 (in Chinese) |