Unsourced Multiple Access With Common Alarm Messages: Network Slicing for Massive and Critical IoT
Journal article, 2024

We investigate the coexistence of massive and critical Internet of Things (IoT) services in the context of the unsourced multiple access (UMA) framework introduced by Polyanskiy (2017), where all users employ a common codebook and the receiver returns an unordered list of decoded codewords. This setup is suitably modified to introduce heterogeneous traffic. Specifically, to model the massive IoT service, we assume that a standard message originates independently from each IoT device as in the standard UMA setup. To model the critical IoT service, we assume the generation of alarm messages that are common for all devices. This setup requires a significant redefinition of the error events, i.e., misdetections and false positives. We further assume that the number of active users in each transmission attempt is random and unknown. We derive a random-coding achievability bound on the misdetection and false positive probabilities of both standard and alarm messages on the Gaussian multiple access channel. Using our bound, we demonstrate that orthogonal network slicing enables massive and critical IoT to coexist under the requirement of high energy efficiency. On the contrary, we show that nonorthogonal network slicing is energy inefficient due to the residual interference from the alarm signal when decoding the standard messages.

Receivers

Network slicing

misdetection

unsourced multiple access

false positive

Internet of things

Internet of Things

Ultra reliable low latency communication

Decoding

network slicing

random-coding bound

Reliability

Standards

Author

Khac-Hoang Ngo

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Giuseppe Durisi

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Alexandre Graell I Amat

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Petar Popovski

Aalborg University

Anders E. Kalør

Aalborg University

Beatriz Soret

University of Malaga

IEEE Transactions on Communications

00906778 (ISSN) 15580857 (eISSN)

Vol. 72 2 907-923

Subject Categories

Telecommunications

Communication Systems

Computer Systems

DOI

10.1109/TCOMM.2023.3325470

More information

Latest update

3/7/2024 9