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NOMA-based compressive random access using Gaussian spreading

journal contribution
posted on 2019-01-01, 00:00 authored by Jinho ChoiJinho Choi
© 2019 IEEE. Compressive random access (CRA) is a random access scheme that has been considered for massive machine-type communication (MTC) with non-orthogonal spreading sequences, where the notion of compressive sensing (CS) is used for low-complexity detectors by exploiting the sparse device activity. In this paper, we study the application of power-domain non-orthogonal multiple access (NOMA) to CRA in order to improve the performance of CRA (or increase the number of devices to be supported). We consider Gaussian spreading sequences and derive design criteria through a large-system analysis to determine the power levels for power-domain NOMA. From simulation results, we can confirm that the number of incorrectly detected device activity can be reduced by applying NOMA to CRA.

History

Journal

IEEE transactions on communications

Volume

67

Issue

7

Pagination

5167 - 5177

Publisher

IEEE

Location

Piscataway, N.J.

ISSN

0090-6778

eISSN

1558-0857

Language

eng

Publication classification

C1 Refereed article in a scholarly journal

Copyright notice

2019, IEEE