Name
Abstract | ||
|---|---|---|
Multiple input multiple output (MIMO) systems with large number of antennas have been gaining wide attention as they enable very high throughputs. A major impediment is the complexity at the receiver needed to detect the transmitted data. To this end we propose a new receiver, called LRR (Linear Regression of MMSE Residual), which improves the MMSE receiver by learning a linear regression model for the error of the MMSE receiver. The LRR receiver uses pilot data to estimate the channel, and then uses locally generated training data (not transmitted over the channel), to find the linear regression parameters. The proposed receiver is suitable for applications where the channel remains constant for a long period (slowfading channels) and performs quite well: at a bit error rate (BER) of 10-3, the SNR gain over MMSE receiver is about 7 dB for a 16 × 16 system; for a 64 × 64 system the gain is about 8.5 dB. For large coherence time, the complexity order of the LRR receiver is the same as that of the MMSE receiver, and in simulations we find that it needs about 4 times as many floating point operations. We also show that further gain of about 4 dB is obtained by local search around the estimate given by the LRR receiver. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/VTCFall.2013.6692263 | Vehicular Technology Conference |
Keywords | Field | DocType |
MIMO communication,channel estimation,error statistics,least mean squares methods,radio receivers,regression analysis,LRR receiver,MMSE receiver error,MMSE residual,SNR gain,antenna number,bit error rate,channel estimation,coherence time,complexity order,floating point operations,large-MIMO receiver,linear regression model,linear regression parameters,locally-generated training data,multiple-input multiple-output systems | Residual,Computer science,Regression analysis,Floating point,MIMO,Communication channel,Electronic engineering,Coherence time,Bit error rate,Linear regression | Conference |
ISSN | Citations | PageRank |
1090-3038 | 2 | 0.39 |
References | Authors | |
8 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Srinidhi Nagaraja | 1 | 2 | 0.39 |
| Onkar Dabeer | 2 | 61 | 5.59 |
| Ananthanarayanan Chockalingam | 3 | 460 | 44.14 |