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Efficient Approximation of Channel Capacities

Author(s):

T. Sutter, D. Sutter, P. Mohajerin Esfahani, J. Lygeros
Conference/Journal:

IEEE Transactions on Information Theory, vol. 61, no. 4, (arXiv:1407.7629)
Abstract:

We propose an iterative method for approximately computing the capacity of discrete memoryless channels, possibly under additional constraints on the input distribution. Based on duality of convex programming, we derive explicit upper and lower bounds for the capacity. The presented method requires O(M^2 N (log N)^(1/2) / epsilon) to provide an estimate of the capacity to within epsilon, where N and M denote the input and output alphabet size; a single iteration has a complexity O(MN). We also show how to approximately compute the capacity of memoryless channels having a bounded continuous input alphabet and a countable output alphabet under some mild assumptions on the decay rate of the channel's tail. It is shown that discrete-time Poisson channels fall into this problem class. As an example, we compute sharp upper and lower bounds for the capacity of a discrete-time Poisson channel with a peak-power input constraint.

Further Information
Year:

2015
Type of Publication:

(01)Article
Supervisor:



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% Autogenerated BibTeX entry
@Article { SutEtal:2015:IFA_4816,
    author={T. Sutter and D. Sutter and P. Mohajerin Esfahani and J. Lygeros},
    title={{Efficient Approximation of Channel Capacities}},
    journal={IEEE Transactions on Information Theory},
    year={2015},
    volume={61},
    number={4},
    pages={},
    month=apr,
    url={http://control.ee.ethz.ch/index.cgi?page=publications;action=details;id=4816}
}
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