Abstract | ||
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In this paper, we propose a new interference alignment (IA) scheme designing jointly the linear transmitter and receiver for the MIMO interference channel system, using minimum total mean square error criterion, subject to individual transmit power constraints. We show that transmitter and receiver under such criterion could be realized through a joint iterative algorithm. The convergence of the proposed algorithm is discussed. We also proposed a robust MMSE-based iterative design with imperfect channel state information (CSI). The proposed robust MMSE-based iterative interference alignment scheme is shown to be less sensitive to channel estimation errors. Simulation results show that the proposed schemes outperform the existing IA schemes with fast convergence. |
Year | DOI | Venue |
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2010 | 10.1109/WCNC.2010.5506770 | WCNC |
Keywords | Field | DocType |
radio transmitters,radiofrequency interference,interference alignment,transmitter,mimo interference channel,minimum total mean square error criterion,receiver,wireless channels,mimo communication,iterative algorithm,imperfect channel state information,radio receivers,mmse-based iterative design,iterative methods,mean square error methods,transmit power constraint,transmitters,mimo,bit error rate,channel state information,robustness,mean square error,iterative design,convergence | Transmitter,Transmitter power output,Iterative method,Control theory,Computer science,MIMO,Algorithm,Communication channel,Real-time computing,Robustness (computer science),Iterative design,Bit error rate | Conference |
ISSN | ISBN | Citations |
1525-3511 | 978-1-4244-6396-1 | 22 |
PageRank | References | Authors |
1.35 | 10 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hui Shen | 1 | 51 | 4.72 |
Bin Li | 2 | 924 | 94.55 |
Meixia Tao | 3 | 2766 | 168.20 |
Yi Luo | 4 | 36 | 5.03 |