Identification over Permutation Channels
Abhishek Sarkar, Bikash Kumar Dey

TL;DR
This paper investigates message identification over q-ary permutation channels, establishing bounds on message sizes, error probabilities, and demonstrating the impact of feedback on identification capacity.
Contribution
It provides new converse bounds for identification over permutation channels and extends results to channels with feedback, revealing doubly exponential growth in identifiable messages.
Findings
Identification capacity equals Shannon capacity for DMCs.
Polynomially growing message sizes are identifiable.
Feedback enables doubly exponential growth in identifiable messages.
Abstract
We study message identification over a q-ary uniform permutation channel, where the transmitted vector is permuted by a permutation chosen uniformly at random. For discrete memoryless channels(DMCs), the number of identifiable messages grows doubly exponentially. Identification capacity, the maximum second-order exponent, is known to be the same as the Shannon capacity of the DMC. Permutation channels support reliable communication of only polynomially many messages. A simple achievability result shows that message sizes growing as 2^{\epsilon_nn^{q-1}} are identifiable for any \epsilon_n\rightarrow0. We prove two converse results. A ``soft'' converse shows that for any R>0, there is no sequence of identification codes with message size growing as 2^{Rn^{q-1}} with a power-law decay (n^{-\mu}) of the error probability. We also prove a ``strong" converse showing that for any sequence of…
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Taxonomy
TopicsNeural Networks and Applications
