Abstract | ||
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Achieving the capacity region in the MIMO broadcast channel requires the use of Dirty Paper Coding (DPC). When it cannot be afforded to satisfy the requirements of all users by DPC based approaches, it is necessary to identify the users which exhibit the highest performance gain compared to simpler approaches. In this paper we present a user grouping method that aims to identify those users with highest weighted sum rate gain. First some users are excluded by a simple criterion leading to a reduced user set, from which the final user group is selected by a more sophisticated criterion. |
Year | DOI | Venue |
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2009 | 10.1109/ICC.2009.5198687 | ICC |
Keywords | Field | DocType |
dirty paper coding,highest weighted sum rate,simple criterion,highest performance gain,capacity region,reduced user set,maximum weighted sum capacity,sophisticated criterion,mimo broadcast channel,final user group,simpler approach,computational complexity,transmitters,time division multiple access,satisfiability,upper bound,broadcasting,gain,mimo,encoding,time frequency analysis | Dirty paper coding,Mathematical optimization,Computer science,Computer network,MIMO,Mimo broadcast channel,Theoretical computer science,Time–frequency analysis,Time division multiple access,Broadcast channels,Signal processing algorithms,Encoding (memory) | Conference |
ISSN | Citations | PageRank |
1550-3607 | 2 | 0.42 |
References | Authors | |
14 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Christian Guthy | 1 | 69 | 6.20 |
Wolfgang Utschick | 2 | 1755 | 176.66 |
Guido Dietl | 3 | 127 | 15.21 |