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Published April 2021 | public
Journal Article

Random Access Channel Coding in the Finite Blocklength Regime

Abstract

Consider a random access communication scenario over a channel whose operation is defined for any number of possible transmitters. As in the model recently introduced by Polyanskiy for the Multiple Access Channel (MAC) with a fixed, known number of transmitters, the channel is assumed to be invariant to permutations on its inputs, and all active transmitters employ identical encoders. Unlike the Polyanskiy model, in the proposed scenario, neither the transmitters nor the receiver knows which transmitters are active. We refer to this agnostic communication setup as the Random Access Channel (RAC). Scheduled feedback of a finite number of bits is used to synchronize the transmitters. The decoder is tasked with determining from the channel output the number of active transmitters, k, and their messages but not which transmitter sent which message. The decoding procedure occurs at a time n_t depending on the decoder's estimate, t, of the number of active transmitters, k, thereby achieving a rate that varies with the number of active transmitters. Single-bit feedback at each time n_(i,i) ≤ t , enables all transmitters to determine the end of one coding epoch and the start of the next. The central result of this work demonstrates the achievability on a RAC of performance that is first-order optimal for the MAC in operation during each coding epoch. While prior multiple access schemes for a fixed number of transmitters require 2^k−1 simultaneous threshold rules, the proposed scheme uses a single threshold rule and achieves the same dispersion.

Additional Information

© 2020 IEEE. Manuscript received July 23, 2019; revised August 21, 2020; accepted December 9, 2020. Date of publication December 28, 2020; date of current version March 18, 2021. This work was supported in part by the National Science Foundation (NSF) under Grant CCF-1817241. This article was presented in part at the 2018 IEEE International Symposium on Information Theory (ISIT'18). The authors are grateful to the reviewers—Prof. Jonathan Scarlett and two anonymous reviewers—for their thorough, careful, and insightful feedback, which is reflected in the article.

Additional details

Created:
August 20, 2023
Modified:
October 23, 2023