학술논문

Design framework of unsourced multiple access for 6G massive IoT
Document Type
Periodical
Source
China Communications China Commun. Communications, China. 21(1):1-12 Jan, 2024
Subject
Communication, Networking and Broadcast Technologies
Codes
Channel estimation
Compressed sensing
6G mobile communication
Parity check codes
Multiuser detection
Bandwidth
channel coding
compressed sensing
massive Internet-of-Things (IoT)
sparse interleaver-division multiple access (SIDMA)
the sixth generation (6G) mobile communications
unsourced multiple access
Language
ISSN
1673-5447
Abstract
In this paper, ambient IoT is used as a typical use case of massive connections for the sixth generation (6G) mobile communications where we derive the performance requirements to facilitate the evaluation of technical solutions. A rather complete design of unsourced multiple access is proposed in which two key parts: a compressed sensing module for active user detection, and a sparse interleaver-division multiple access (SIDMA) module are simulated side by side on a same platform at balanced signal to noise ratio (SNR) operating points. With a proper combination of compressed sensing matrix, a convolutional encoder, receiver algorithms, the simulated performance results appear superior to the state-of-the-art benchmark, yet with relatively less complicated processing.