Capacity of optical intensity channels with peak and average power constraints

Authors:
Ahmed A. Farid;Steve Hranilovic
Affiliations:
Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada;Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada
Venue:
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Year:
2009

Citing 5
Cited 0

The capacity of discrete-time memoryless Rayleigh-fading channels

IEEE Transactions on Information Theory
Capacity bounds via duality with applications to multiple-antenna systems on flat-fading channels

IEEE Transactions on Information Theory
Capacity bounds for power- and band-limited optical intensity channels corrupted by Gaussian noise

IEEE Transactions on Information Theory
Capacity-achieving probability measure for conditionally Gaussian channels with bounded inputs

IEEE Transactions on Information Theory
The capacity of average and peak-power-limited quadrature Gaussian channels

IEEE Transactions on Information Theory

Quantified Score

Hi-index	0.00

Visualization

Abstract

The design and analysis of capacity-approaching input signalling for optical intensity channels are presented. Both peak and average optical power constraints are considered in the analysis. The capacity-achieving distribution for this channel is discrete with a finite number of mass points. In practice, finding this distribution requires solving a complex non-linear optimization at every SNR. In this work, we present a closed form discrete capacity-approaching distribution derived via source entropy maximization. The computation of this distribution is substantially less complex than previous optimization approaches and can be easily computed for different SNRs. The information rates using the derived maxentropic distribution are shown to be negligibly far away from the channel capacity found by non-linear optimization in the SNR range -6 to 6 dB.