Abstract | ||
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In this paper, we propose a parallel QRDM encoder (PQRDME) for multi-user MIMO (MU-MIMO) systems. The proposed algorithm transforms the full tree-search problem of the conventional QRDME algorithm into parallel partial trees that are processed in parallel, leading to a tremendous increase in the encoding throughput. The proposed algorithm outperforms the fixed-complexity sphere encoder (FSE) and performs close to the optimum performance for several scenarios. For instance, in a 4×4 MUM-MIMO system, the proposed PQRDME lags the optimum performance by 0.3 dB while outperforming the FSE by 2.3dB at a target BER of 10-4. In this case, the proposed algorithm also doubles the encoding throughput of the conventional QRDME algorithm. |
Year | DOI | Venue |
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2011 | 10.1109/icc.2011.5963389 | ICC |
Keywords | Field | DocType |
multiuser channels,trees (mathematics),pqrdme,mu-mimo system,encoding,ber,parallel qrd-m encoder,mimo communication,parallel partial trees,tree-search problem,error statistics,decentralized multiuser mimo system,mimo,vectors,modulation,throughput,vector measure,measurement,bit error rate | Multi-user MIMO,Computer science,MIMO,Real-time computing,Modulation,Encoder,Throughput,Mimo communication,Bit error rate,Encoding (memory) | Conference |
ISSN | ISBN | Citations |
1550-3607 E-ISBN : 978-1-61284-231-8 | 978-1-61284-231-8 | 1 |
PageRank | References | Authors |
0.36 | 6 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Manar Mohaisen | 1 | 97 | 28.83 |
Abedelaziz Mohaisen | 2 | 338 | 30.36 |
Yanhua Li | 3 | 539 | 47.45 |
Pengkui Luo | 4 | 11 | 1.74 |