Name
Abstract | ||
|---|---|---|
In this paper, we investigate the capacity of continuously time-varying multiple-input multiple-output (MIMO) systems in frequency-flat Rayleigh fading environment with perfect interleaving. By introducing the Gauss-Markov model to describe the channel variation and employing minimum mean square error (MMSE) channel estimation based on the pilots, we derive very tight lower and upper bounds of the ergodic capacity in closed-form. We also derive the optimal power allocation between the pilot and data vectors, which maximize the lower bound of the ergodic capacity. Interestingly, the optimal allocation is independent of the channel variation parameter and can be easily computed (no feedback is required). The optimal training interval can be obtained via numerical optimization. Finally, two different transmit schemes are compared via simulation. It is shown that, in fast fading or high SNR environments, the scheme with optimal power allocation almost has the same performance as the scheme with equal power allocation. However, in slowly fading or low SNR environments, the former has much better performance than the latter. © 2005 IEEE. |
Year | DOI | Venue |
|---|---|---|
2005 | null | PIMRC |
Keywords | Field | DocType |
channel capacity,channel estimation,mimo systems,time-varying channels,rayleigh fading,markov processes,lower bound,markov model,minimum mean square error,gaussian processes | Rayleigh fading,Computer science,Fading,Upper and lower bounds,Control theory,MIMO,Minimum mean square error,Fading distribution,Channel capacity,Channel state information | Conference |
Volume | Issue | Citations |
1 | null | 3 |
PageRank | References | Authors |
0.41 | 10 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yifei Zhao | 1 | 94 | 7.61 |
| Ming Zhao | 2 | 7 | 3.21 |
| Limin Xiao | 3 | 231 | 47.05 |
| Jing Wang | 4 | 1038 | 105.16 |