Name
Title | ||
|---|---|---|
Higher Rank Principal Kronecker Model for Triply Selective Fading Channels With Experimental Validation |
Abstract | ||
|---|---|---|
This paper proposes a higher rank principal Kronecker model (PKM) for simulating triply selective fading channels. To construct the PKM, the channel correlation matrices are decomposed using the higher order singular value decomposition (HOSVD) method. The proposed PKM-HOSVD model improves upon the original Kronecker model by using higher rank approximation of the channel correlation matrices rather than the rank-1 approximation. The proposed PKM-HOSVD model was validated by extensive field experiments conducted for 4 × 4 multiple-input-multiple-output (MIMO) systems in both indoor and outdoor environments. The carrier frequencies used included 800 MHz, 2.2 GHz, and 5.2 GHz. The channel correlation matrices calculated from the measured channel coefficients were then decomposed via the proposed PKM-HOSVD method. The quality of the decomposition was evaluated by not only the mean square error but also the correlation matrix distance. These results indicate that many practical channels must use higher rank approximation rather than the commonly used rank-1 approximation (or the Kermoal method) to achieve satisfactory decomposition accuracy. In addition, the predicted channel capacity by the proposed channel simulation model achieves better accuracy than the original rank-1 channel simulation model. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/TVT.2014.2332518 | Vehicular Technology, IEEE Transactions |
Keywords | Field | DocType |
mimo communication,channel capacity,correlation methods,fading channels,indoor environment,mean square error methods,singular value decomposition,kermoal method,mimo systems,pkm-hosvd model,channel correlation matrices,channel correlation matrix,channel simulation,frequency 2.2 ghz,frequency 5.2 ghz,frequency 800 mhz,higher order singular value decomposition,higher rank principal kronecker model,indoor environments,mean square error,multiple-input-multiple-output systems,outdoor environments,rank approximation,triply selective fading channels,correlation matrix distance (cmd),fading channel simulation model,higher order singular value decomposition (hosvd),multiple-input multiple-output (mimo) channel,principal kronecker model (pkm),correlation,communication systems,simulation,mimo,radio frequency,tensile stress,fading,matrix decomposition | Singular value decomposition,Spatial correlation,Matrix (mathematics),Matrix decomposition,MIMO,Electronic engineering,Higher-order singular value decomposition,Channel capacity,Mathematics,Channel state information | Journal |
Volume | Issue | ISSN |
64 | 5 | 0018-9545 |
Citations | PageRank | References |
2 | 0.38 | 27 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bing Han | 1 | 2 | 0.38 |
| Yahong Rosa Zheng | 2 | 885 | 76.15 |