Generalized Bounds on the Capacity of the Binary-Input Channels
Mustafa Kesal

TL;DR
This paper establishes tight bounds on the capacity of general binary-input channels, extending symmetric channel results to more general cases using the Bhattacharyya parameter.
Contribution
It generalizes existing capacity bounds from symmetric to all binary-input memoryless channels by leveraging the Bhattacharyya parameter.
Findings
Bounds are tight for a broad class of channels.
Symmetric channel bounds are valid for non-symmetric channels.
Provides a unified approach to channel capacity estimation.
Abstract
For the class of the memoryless binary-input channels which are not necessarily symmetric, we derive tight bounds on the capacity in terms of the Bhattacharyya parameter. As it turns out, the bounds derived under the symmetric channel assumption in [1] are valid for the general case as well.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsWireless Communication Security Techniques · Error Correcting Code Techniques · DNA and Biological Computing
