Codes in the Space of Multisets---Coding for Permutation Channels with Impairments
arXiv:1612.08837 · doi:10.1109/TIT.2017.2789292
Abstract
Motivated by communication channels in which the transmitted sequences are subject to random permutations, as well as by certain DNA storage systems, we study the error control problem in settings where the information is stored/transmitted in the form of multisets of symbols from a given finite alphabet. A general channel model is assumed in which the transmitted multisets are potentially impaired by insertions, deletions, substitutions, and erasures of symbols. Several constructions of error-correcting codes for this channel are described, and bounds on the size of optimal codes correcting any given number of errors derived. The construction based on the notion of Sidon sets in finite Abelian groups is shown to be optimal, in the sense of the asymptotic scaling of code redundancy, for any "error radius" and any alphabet size. It is also shown to be optimal in the stronger sense of maximal code cardinality in various cases.
14 pages, 5 figures. v1: conference version (ISIT'17). v5: extended version (IEEE Trans. Inf. Theory), includes parts of arXiv:1409.5276
References in corpus (2)
Cited by in corpus (11)
- Asymptotically Optimal Codes Correcting Fixed-Length Duplication Errors in DNA Storage Systems
- Coding Theorems for Noisy Permutation Channels
- Reconstruction Codes for DNA Sequences with Uniform Tandem-Duplication Errors
- Capacity of Noisy Permutation Channels
- Runlength-Limited Sequences and Shift-Correcting Codes: Asymptotic Analysis
- Permutation Capacity Region of Adder Multiple-Access Channels
- A Practical Concatenated Coding Scheme for Noisy Shuffling Channels with Coset-based Indexing
- Gilbert-Varshamov Bound for Codes in Metric using Multivariate Analytic Combinatorics
- Quantum error correction beyond : spin, bosonic, and permutation-invariant codes from convex geometry
- Lattice Packings of Cross-polytopes from Reed-Solomon Codes and Sidon Sets
- Optimal Error-Detecting Codes for General Asymmetric Channels via Sperner Theory