Name
Abstract | ||
|---|---|---|
This paper presents new results on joint linear transceiver design under the minimum total mean-square error (MSE) criterion, with channel mean as well as both transmit and receive correlation information at both ends of a multiple-input multiple-output (MIMO) link. The joint design is formulated into an optimization problem. The optimum closed-form precoder and decoder are derived. Compared to the case with perfect channel state information (CSI), linear filters are added at both ends to balance the suppression of channel noise and the noise from imperfect channel estimation. The impact of channel estimation error as well as channel correlation on system performance is assessed, based on analytical and simulation results. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/TSP.2008.2008542 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
minimum total mse transceiver,perfect channel state information,channel estimation error,channel correlation,linear filter,imperfect channel estimation,correlation information,channel noise,joint linear transceiver design,imperfect csi,minimum total mean-square error,joint design,design optimization,precoding,channel state information,linear filters,optimization problem,transceivers,indexing terms,system performance,linear filtering,decoding,mean square error,spatial multiplexing,mimo | Control theory,Communication channel,MIMO,Mean squared error,Decoding methods,Estimation theory,Spatial multiplexing,Mathematics,Precoding,Channel state information | Journal |
Volume | Issue | ISSN |
57 | 3 | 1053-587X |
Citations | PageRank | References |
87 | 3.03 | 26 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Minhua Ding | 1 | 137 | 7.76 |
| Steven D. Blostein | 2 | 1461 | 211.53 |