Name
Abstract | ||
|---|---|---|
We study the problem of throughput optimization in large multiple-input multiple-output (MIMO) beamforming systems with channel aging, as the number of transmit and receive antennas is increased. We quantify the effective channel coherence time in terms of the intertraining interval, which is the time after which the channel state information needs to be reestimated to avoid loss in performance du... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/LSP.2016.2604347 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
MIMO,Throughput,Antennas,Channel estimation,Aging,Coherence,Signal to noise ratio | Mathematical optimization,Multi-user MIMO,Spatial correlation,Computer network,MIMO,Communication channel,Electronic engineering,Channel capacity,Precoding,Mathematics,Channel state information,Coherence time | Journal |
Volume | Issue | ISSN |
23 | 11 | 1070-9908 |
Citations | PageRank | References |
5 | 0.41 | 10 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ribhu | 1 | 23 | 5.62 |
| Chandra R. Murthy | 2 | 542 | 75.73 |
| Himal A. Suraweera | 3 | 2639 | 117.31 |