Bounds on mutual information of Rayleigh fading channels with Gaussian input

The mutual information of a discrete time Rayleigh fading channel is considered, where neither the transmitter nor the receiver has the knowledge of the channel state information. We specifically derive a lower bound for the mutual information of this channel when the input distribution is Gaussian. The bound is expressed in terms of the capacity of the corresponding non fading channel and the capacity when the perfect channel state information is known at the receiver

[1]  Yingbin Liang,et al.  Capacity of noncoherent time-selective Rayleigh-fading channels , 2004, IEEE Transactions on Information Theory.

[2]  Shlomo Shamai,et al.  On the capacity of some channels with channel state information , 1999, IEEE Trans. Inf. Theory.

[3]  W. C. Y. Lee,et al.  Estimate of channel capacity in Rayleigh fading environment , 1990 .

[4]  Abou Faycal,et al.  Reliable communication over Rayleigh fading channels , 1996 .

[5]  Shlomo Shamai,et al.  Fading Channels: Information-Theoretic and Communication Aspects , 1998, IEEE Trans. Inf. Theory.

[6]  Pravin Varaiya,et al.  Capacity of fading channels with channel side information , 1997, IEEE Trans. Inf. Theory.

[7]  A. Goldsmith,et al.  Comparison of fading channel capacity under different CSI assumptions , 2000, Vehicular Technology Conference Fall 2000. IEEE VTS Fall VTC2000. 52nd Vehicular Technology Conference (Cat. No.00CH37152).

[8]  Ibrahim C. Abou-Faycal,et al.  The capacity of discrete-time memoryless Rayleigh-fading channels , 2001, IEEE Trans. Inf. Theory.

[9]  Shlomo Shamai,et al.  Fading channels: How perfect need "Perfect side information" be? , 2002, IEEE Trans. Inf. Theory.

[10]  R.M. Gray,et al.  Communication systems: An introduction to signals and noise in electrical communication , 1976, Proceedings of the IEEE.

[11]  I. M. Pyshik,et al.  Table of integrals, series, and products , 1965 .

[12]  Thomas H. E. Ericson,et al.  A Gaussian channel with slow fading (Corresp.) , 1970, IEEE Trans. Inf. Theory.