Title | ||
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Complexity Reduction for the Optimization of Linear Precoders Over Random MIMO Channels. |
Abstract | ||
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Precoder optimization with full channel state information for finite alphabet signals over multiple-input multiple-output random channels is investigated in this paper. The precoder is represented by a product of power allocation matrix and constellation-forming matrix. There was an optimal algorithm introduced in the literature to globally maximize the channel mutual information by iteratively op... |
Year | DOI | Venue |
---|---|---|
2017 | 10.1109/TCOMM.2017.2716375 | IEEE Transactions on Communications |
Keywords | Field | DocType |
Mutual information,Precoding,MIMO,Complexity theory,Optimization,Resource management,Signal to noise ratio | Mathematical optimization,Computer science,Iterative method,Matrix (mathematics),MIMO,Electronic engineering,Reduction (complexity),Mutual information,Precoding,Channel state information,Computational complexity theory | Journal |
Volume | Issue | ISSN |
65 | 10 | 0090-6778 |
Citations | PageRank | References |
2 | 0.36 | 19 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Nhat-Quang Nhan | 1 | 10 | 2.58 |
Philippe Rostaing | 2 | 53 | 8.82 |
Karine Amis | 3 | 75 | 17.77 |
Ludovic Collin | 4 | 46 | 3.07 |
Emanuel Radoi | 5 | 79 | 15.62 |