Title :
Robust MMSE Precoding for the MIMO Complex Gaussian Broadcast Channel
Author :
Duplicy, Jonathan ; Vandendorpe, Luc
Author_Institution :
Commun. & Remote Sensing Lab., Univ. Catholique de Louvain, Louvain-la-Neuve
Abstract :
This paper addresses the design of the linear precoders and decoders of the complex Gaussian broadcast channel in which both the base station and the remote station are equipped with arrays of multiple antennas. An imperfect channel knowledge is assumed at the base station and the minimization of the sum of the mean square errors (MMSE) of the system´s substreams is chosen as optimization criterion. A stochastic approach is taken to make the design robust against the channel estimation errors. The solution is based on an iterative algorithm whose convergence is guaranteed. Simulations results emphasize the benefit of the proposed design.
Keywords :
Gaussian channels; MIMO communication; antenna arrays; broadcast channels; channel coding; channel estimation; least mean squares methods; optimisation; stochastic processes; MIMO complex Gaussian broadcast channel; MMSE precoding; base station; channel estimation; imperfect channel knowledge; iterative algorithm; linear decoders; linear precoders; minimization mean square errors; multiple antennas; optimization criterion; remote station; stochastic approach; Base stations; Broadcasting; Channel estimation; Decoding; Iterative algorithms; Linear antenna arrays; MIMO; Mean square error methods; Robustness; Stochastic processes; Broadcast channel; Least mean square methods; MIMO; Robustness;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0727-3
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2007.366562