English

Permutation Capacity Region of Adder Multiple-Access Channels

Information Theory 2024-07-25 v2 math.IT Statistics Theory Statistics Theory

Abstract

Point-to-point permutation channels are useful models of communication networks and biological storage mechanisms and have received theoretical attention in recent years. Propelled by relevant advances in this area, we analyze the permutation adder multiple-access channel (PAMAC) in this work. In the PAMAC network model, dd senders communicate with a single receiver by transmitting pp-ary codewords through an adder multiple-access channel whose output is subsequently shuffled by a random permutation block. We define a suitable notion of permutation capacity region Cperm\mathcal{C}_\mathsf{perm} for this model, and establish that Cperm\mathcal{C}_\mathsf{perm} is the simplex consisting of all rate dd-tuples that sum to d(p1)/2d(p - 1) / 2 or less. We achieve this sum-rate by encoding messages as i.i.d. samples from categorical distributions with carefully chosen parameters, and we derive an inner bound on Cperm\mathcal{C}_\mathsf{perm} by extending the concept of time sharing to the permutation channel setting. Our proof notably illuminates various connections between mixed-radix numerical systems and coding schemes for multiple-access channels. Furthermore, we derive an alternative inner bound on Cperm\mathcal{C}_\mathsf{perm} for the binary PAMAC by analyzing the root stability of the probability generating function of the adder's output distribution. Using eigenvalue perturbation results, we obtain error bounds on the spectrum of the probability generating function's companion matrix, providing quantitative estimates of decoding performance. Finally, we obtain a converse bound on Cperm\mathcal{C}_\mathsf{perm} matching our achievability result.

Keywords

Cite

@article{arxiv.2309.08054,
  title  = {Permutation Capacity Region of Adder Multiple-Access Channels},
  author = {William Lu and Anuran Makur},
  journal= {arXiv preprint arXiv:2309.08054},
  year   = {2024}
}

Comments

28 pages, 6 figures

R2 v1 2026-06-28T12:22:08.136Z