Information Theory and Reliable Communication
Information Theory and Reliable Communication
Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Transmission Over Slowly Fading Channels Using Unreliable Quantized Feedback
DCC '07 Proceedings of the 2007 Data Compression Conference
Channels with side information at the transmitter
IBM Journal of Research and Development
The capacity of channels with feedback
IEEE Transactions on Information Theory
Capacity region of the finite-state multiple-access channel with and without feedback
IEEE Transactions on Information Theory
Neural Computing and Applications
Robust multiuser detection in non-Gaussian channels
IEEE Transactions on Signal Processing
Sensitivity of channel capacity
IEEE Transactions on Information Theory - Part 2
Nearest neighbor decoding for additive non-Gaussian noise channels
IEEE Transactions on Information Theory
Capacity of fading channels with channel side information
IEEE Transactions on Information Theory
On the capacity of some channels with channel state information
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Capacities of time-varying multiple-access channels with side information
IEEE Transactions on Information Theory
Fading channels: how perfect need "perfect side information" be?
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
On the discreteness of capacity-achieving distributions
IEEE Transactions on Information Theory
The capacity of finite-State Markov Channels With feedback
IEEE Transactions on Information Theory
Feedback capacity of finite-state machine channels
IEEE Transactions on Information Theory
Transmit beamforming in multiple-antenna systems with finite rate feedback: a VQ-based approach
IEEE Transactions on Information Theory
Divergence and minimum mean-square error in continuous-time additive white Gaussian noise channels
IEEE Transactions on Information Theory
Capacity With Causal and Noncausal Side Information: A Unified View
IEEE Transactions on Information Theory
Coding for Additive White Noise Channels With Feedback Corrupted by Quantization or Bounded Noise
IEEE Transactions on Information Theory
On the capacity of a multiple-antenna communication link with channel side information
IEEE Journal on Selected Areas in Communications
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The goal of this paper is to investigate the effect of channel side information on increasing the achievable rates of continuous power-limited non-Gaussian channels. We focus on the case where (1) there is imperfect channel quality information available to the transmitter and the receiver and (2) while the channel gain is continuously varying, there are few cross-region changes, and the noise characteristics remain in each detection region for a long time. The results are presented for two scenarios, namely, reliable and unreliable region detection. Considering short- and long-term power constraints, the capacity bounds are found for log-normal and two different Nakagami-based channel distributions, and for both Max-Lloyd and equal probability quantization approaches. Then, the optimal gain partitioning approach, maximizing the achievable rates, is determined. Finally, general equations for the channel capacity bounds and optimal channel partitioning in the case of unreliable region detection are presented. Interestingly, the results show that, for high SNR's, it is possible to determine a power-independent optimal gain partitioning approach maximizing the capacity lower bound which, in both scenarios, is identical for both short- and long-term power constraints.