Unsourced Multiple Access With Random User Activity
Khac-Hoang Ngo, Alejandro Lancho, Giuseppe Durisi, and Alexandre, Graell i Amat

TL;DR
This paper extends the unsourced multiple access framework to scenarios with unknown and random active users, deriving bounds on energy efficiency and analyzing trade-offs between misdetection and false alarms in IoT contexts.
Contribution
It introduces a new random-access coding scheme for unknown active user counts and provides an achievability bound capturing the MD-FA trade-off in Gaussian channels.
Findings
Energy penalty increases as MD and FA probabilities decrease.
Estimating active users is effective at high MD/FA targets but inefficient at low targets.
The bounds suggest small energy penalties when user count is unknown but high accuracy is required.
Abstract
To account for the massive uncoordinated random access scenario, which is relevant for the Internet of Things, Polyanskiy (2017) proposed a novel formulation of the multiple-access problem, commonly referred to as unsourced multiple access, where all users employ a common codebook and the receiver decodes up to a permutation of the messages. We extend this seminal work to the case where the number of active users is random and unknown a priori. We define a random-access code accounting for both misdetection (MD) and false alarm (FA), and derive a random-coding achievability bound for the Gaussian multiple access channel. Our bound captures the fundamental trade-off between MD and FA. It suggests that the lack of knowledge of the number of active users entails a small penalty in energy efficiency when the target MD and FA probabilities are high. However, as the target MD and FA…
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Taxonomy
TopicsIoT Networks and Protocols · Wireless Body Area Networks · Wireless Communication Security Techniques
