Name
Abstract | ||
|---|---|---|
In this paper the downlink of a multi-user MIMO (MUMIMO) system with multi-mode transmission is considered. We propose a low-complexity algorithm for selecting users and the corresponding number of data streams to each user, denoted as user transmission mode (UTM). The selection is only based on the average received signal-to-noise ratio (SNR) from the base station (BS) for each user. This reduces the overall amount of feedback for scheduling, as opposed to techniques that assume perfect instantaneous channel state information (CSI) from all users. Analytical average throughput approximations are derived for each user at different UTMs. Simulation results demonstrate that the proposed algorithm provides performance close to dirty paper coding (DPC) with considerably reduced feedback. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ICASSP.2010.5495991 | Acoustics Speech and Signal Processing |
Keywords | Field | DocType |
MIMO communication,as transmission mode,base station,channel state information,multi-mode transmission,multi-user MIMO,signal-to-noise ratio,MIMO,multi-mode transmission | Base station,Dirty paper coding,Mathematical optimization,Multi-user MIMO,Scheduling (computing),Computer science,Computer network,MIMO,Real-time computing,Throughput,Telecommunications link,Channel state information | Conference |
ISSN | ISBN | Citations |
1520-6149 E-ISBN : 978-1-4244-4296-6 | 978-1-4244-4296-6 | 0 |
PageRank | References | Authors |
0.34 | 6 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Seifi, N. | 1 | 0 | 0.34 |
| Tony Ottosson | 2 | 595 | 56.86 |
| M. Viberg | 3 | 917 | 188.13 |
| Mikael Coldrey | 4 | 357 | 20.97 |