Abstract
In this paper, power adaptation strategies for minimizing bit error rate (BER) subject to an average power constraint for orthogonal space-time-coded multiple-input-multiple-output (MIMO) systems with mean and covariance feedback over joint transmit-receive-correlated channels are presented. We first develop an optimal spatial-only power control (PC) based on an approximated BER bound, which can include the mean feedback only and covariance feedback only as special cases. Using a newly defined fuzzy signal-to-noise ratio (FSNR) criterion, a suboptimal spatial PC scheme with a closed-form expression is derived. This FSNR-based power adaptation not only has less computational complexity but has a BER performance close to that of the optimal spatial-only PC scheme as well. Second, the degrees of freedom in temporal and spatial domains are exploited to derive a joint spatiotemporal PC (S-T-PC) with the use of the FSNR strategy to minimize the average BER subject to a long-term average power constraint with mean and covariance feedback. Simulation results show that the proposed two spatial-only PC schemes can provide a BER lower than that of equal power allocation and have almost the same performance as the existing spatial-only optimal scheme but with lower computational complexity. Moreover, they outperform the PC schemes with mean or covariance feedback only. Most importantly, the new joint S-T-PC scheme substantially outperforms all the spatial-only PC schemes.
| Original language | English |
|---|---|
| Article number | 6824264 |
| Pages (from-to) | 2489 - 2501 |
| Journal | IEEE Transactions on Vehicular Technology |
| Volume | 64 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - 1 Jun 2015 |
Research Keywords
- Space-time coding, Spatial-temporal power control, Mean feedback, Covariance feedback, Spatial correlation, MIMO
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