DocumentCode :
2996225
Title :
Precoder and decoder prediction in time-varying MIMO channels
Author :
Nguyen, Hung Tuan ; Leus, Geert ; Khaled, Nadia
Author_Institution :
Dept. of Commun. Technol., Aalborg Univ.
fYear :
2005
fDate :
13-13 Dec. 2005
Firstpage :
153
Lastpage :
156
Abstract :
In wireless communications, mobility can make the available channel information out of date. A timely update of the channel state information is an obvious solution to improve the system performance in a time-varying channel. However, this comes at the cost of a decrease in the system throughput since many pilots have to be inserted. Thus, predicting the future channel conditions can improve not only the performance but also the throughput of many types of wireless systems. This is especially true when multiple antennas are applied at both link ends. In this paper, we propose and evaluate the performance of a prediction scheme for multiple input multiple output (MIMO) systems that apply spatial multiplexing. We aim at predicting the future precoder/decoder directly without going through the prediction of the channel matrix. The results show that in a slowly time-varying channel an increase in the system performance by a factor of two is possible
Keywords :
MIMO systems; antenna arrays; channel coding; decoding; matrix algebra; mobile radio; multiplexing; time-varying channels; wireless channels; channel matrix; channel state information; decoder prediction; multiple antennas; multiple input multiple output; precoder; spatial multiplexing; time-varying MIMO channels; wireless communications; Channel state information; Communications technology; Decoding; Degradation; Interpolation; MIMO; Receiving antennas; System performance; Throughput; Time-varying channels;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Advances in Multi-Sensor Adaptive Processing, 2005 1st IEEE International Workshop on
Conference_Location :
Puerto Vallarta
Print_ISBN :
0-7803-9322-8
Type :
conf
DOI :
10.1109/CAMAP.2005.1574207
Filename :
1574207
Link To Document :
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