An Achievability Bound of Energy per Bit for Stabilized Massive Random Access Gaussian Channel

Artem Burkov, Seva Shneer, Andrey Turlikov

Research output: Contribution to journalArticle

Abstract

Developing communication standards highlight a scenario called massive Machine-Type Communication within the framework of the Internet of Things. Under this scenario, a large number of devices with autonomous power supplies will operate in a random multiple access mode. It is crucial to keep the system stable, while consuming minimal energy. We describe a model of a system with a Gaussian Random Access Channel and consider an algorithm allowing message retransmissions. We provide a stability condition for the system and introduce an optimization problem to determine an achievability bound for energy per bit.
Original languageEnglish
JournalIEEE Communications Letters
Early online date11 Sep 2020
DOIs
Publication statusE-pub ahead of print - 11 Sep 2020

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