Abstract | ||
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In this paper, we propose a closed-form (i.e., without the need of any iterative procedure) joint optimization framework of the source precoder, the amplify-and-forward relaying matrices, and the destination equalizer for a cooperative multiple-input multiple-output (MIMO) wireless network. We study in depth such a design and carry out its performance analysis in terms of average symbol error probability (ASEP), which allows one to calculate the diversity order of the cooperative system. The ASEP is also evaluated via Monte Carlo simulations and compared with recent competitive alternatives. Results show that the proposed design performs better than or comparably to recently proposed iterative approaches, with lower computational requirements. |
Year | DOI | Venue |
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2019 | 10.1109/JCN.2019.000003 | Journal of Communications and Networks |
Keywords | Field | DocType |
Relays,MIMO communication,Optimization,Performance analysis,Signal to noise ratio,Cooperative systems,Covariance matrices | Equalizer,Wireless network,Monte Carlo method,Matrix (mathematics),Computer science,Signal-to-noise ratio,MIMO,Real-time computing,Computer engineering,Relay,Cooperative MIMO | Journal |
Volume | Issue | ISSN |
21 | 1 | 1229-2370 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Donatella Darsena | 1 | 182 | 17.78 |
Giacinto Gelli | 2 | 211 | 22.46 |
Francesco Verde | 3 | 254 | 24.42 |