Time-division multiuser MIMO with statistical feedback
EURASIP Journal on Advances in Signal Processing
Power minimization of central Wishart MIMO block-fading channels
IEEE Transactions on Communications
Energy-efficient scheduling of delay constrained traffic over fading channels
IEEE Transactions on Wireless Communications
Communication with causal CSI and controlled information outage
IEEE Transactions on Wireless Communications
Cross-layer design of FDD-OFDM systems based on ACK/NAK feedbacks
IEEE Transactions on Information Theory
Power-optimized amplify-and-forward multi-hop relaying systems
IEEE Transactions on Wireless Communications
Dynamic power allocation over block-fading channels with delay constraint
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Optimal transmission for dying channels
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Analysis of delay statistics for the queued-code
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Asymptotic outage behavior of parallel dying channels
MILCOM'09 Proceedings of the 28th IEEE conference on Military communications
Queue length aware power control for delay- constrained communication over fading channels
Wireless Communications & Mobile Computing
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A block-fading channel model is considered, and a K-block delay constraint is imposed on data transmission. The key consideration is that the channel state information is fed back to the transmitter in a causal manner. A general cost function μ(x) is considered in solving the delay-constrained transmission problem, under the short-term and the long-term power constraints. A causal power adaptation strategy is needed to maximize the cost function, hence dynamic programming is found to give the optimum solution. The general cost function is then specialized to the cases of expected and outage capacities. In the case of expected capacity, it is observed that optimizing the transmitted power does not give much benefit at high signal-to-noise ratio (SNR), but provides a substantial gain at low SNR. At low SNR, it is proved that the capacity increases by a factor of approximately log K/m, due to power adaptation, when the channel fades according to the χ2m2 statistics. In the case of outage capacity, it is shown that the optimum power adaptation solution to the long-term constraint problem provides a substantial SNR gain at both low and high values of SNR. Random coding bounds are derived for the outage capacity algorithms.