Title :
Efficient Beamforming for MIMO Relaying Broadcast Channel With Imperfect Channel Estimation
Author :
Wang, Zijian ; Chen, Wen ; Li, Jun
Author_Institution :
Dept. of Electron. Eng., Shanghai Jiao Tong Univ., Shanghai, China
Abstract :
We consider a multiple-input-multiple-output (MIMO) relaying broadcast channel in downlink cellular networks, where the base station and the relay stations are both equipped with multiple antennas, and each user terminal has only a single antenna. In practical scenarios, channel estimation is imperfect at the receivers. Aiming to maximize the signal-to-interference noise ratio (SINR), at each user, we develop two robust linear beamforming schemes for the single-relay case and the multirelay case, respectively. The two proposed schemes are based on singular value decomposition (SVD), minimum mean square error (MMSE), and regularized zero forcing (RZF). Simulation results show that the proposed scheme outperforms the conventional schemes with imperfect channel estimation.
Keywords :
MIMO communication; cellular radio; channel estimation; mean square error methods; radio links; singular value decomposition; MIMO relaying broadcast channel; base station; downlink cellular network; imperfect channel estimation; linear beamforming scheme; minimum mean square error; multiple-input-multiple-output; multirelay case; regularized zero forcing; relay station; signal-to-interference noise ratio; single-relay case; singular value decomposition; Array signal processing; Channel estimation; Interference; MIMO; Relays; Robustness; Signal to noise ratio; Minimum mean square error (MMSE) receiver; multiple-input–multiple-output (MIMO) relaying broadcast; regularized zero-forcing (RZF) precoding; signal-to-interference noise ratio (SINR); singular value decomposition (SVD);
Journal_Title :
Vehicular Technology, IEEE Transactions on
DOI :
10.1109/TVT.2011.2173590