Capacity of Wireless Communication Systems Employing Antenna Arrays, a Tutorial Study
Wireless Personal Communications: An International Journal
Model-based pilot and data power adaptation in PSAM with periodic delayed feedback
IEEE Transactions on Wireless Communications
The capacity of channels with feedback
IEEE Transactions on Information Theory
Finite state channels with time-invariant deterministic feedback
IEEE Transactions on Information Theory
On the capacity of finite state multiple access channels with asymmetric partial state feedback
WiOPT'09 Proceedings of the 7th international conference on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks
Energy optimal transmission scheduling in wireless sensor networks
IEEE Transactions on Wireless Communications
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While feedback does not increase the capacity of memoryless channels, the capacity of time-varying channels with feedback can be increased by exploiting the structure in the channel variations. Feedback information from the receiver is usually available at the transmitter only after some time delay. The capacity increase due to feedback depends on the feedback delay relative to the channel decorrelation time. We model time-varying channels as finite-state Markov channels and determine their capacity as a function of the feedback delay assuming perfect channel state information at the receiver. We apply the result to derive power control strategies to maximize the capacity for finite-state additive Gaussian noise channels and log-normal shadow fading channels