Title :
Channel Prediction Aided Coded Modulation Assisted Eigen-Beamforming
Author :
Ng, S.X. ; Liu, W. ; Yang, L.-L. ; Hanzo, L.
Author_Institution :
Sch. of ECS, Southampton Univ.
Abstract :
Eigen-beamforming is capable of attaining attractive performance gains in the context of multiple-input multiple-output (MIMO) systems, provided that accurate channel state information (CSI) is available. However, when a realistic pilot-based channel predictor is used for acquiring the CSI, a significant performance degradation may be imposed by the phase-ambiguity inherent in the estimated eigen-vectors. In this contribution, both higher-complexity coherently detected coded modulation (CM) schemes requiring channel information as well as their lower-complexity differentially encoded counterparts are employed for assisting the operation of the eigen-beamformer, when using a minimum mean square error based pilot-assisted channel predictor. It is shown that differentially encoded CM schemes are capable of assisting the eigen-beamformer in attaining a coding gain of about 6.5 dBs, when communicating over correlated Rayleigh fading channels.
Keywords :
MIMO communication; Rayleigh channels; eigenvalues and eigenfunctions; matrix algebra; modulation coding; CSI; MIMO; channel prediction aided coded modulation; channel state information; correlated Rayleigh fading channels; eigen-beamforming; minimum mean square error; multiple-input multiple-output systems; pilot-based channel predictor; Array signal processing; Bandwidth; Channel state information; Degradation; Fading; MIMO; Mean square error methods; Modulation coding; Phase estimation; Radio transmitters;
Conference_Titel :
Vehicular Technology Conference, 2007. VTC2007-Spring. IEEE 65th
Conference_Location :
Dublin
Print_ISBN :
1-4244-0266-2
DOI :
10.1109/VETECS.2007.362