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NOMA-based compressive random access using Gaussian spreading
journal contribution
posted on 2019-01-01, 00:00 authored by Jinho 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.
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Journal
IEEE transactions on communicationsVolume
67Pagination
5167-5177Location
Piscataway, N.J.Publisher DOI
ISSN
0090-6778eISSN
1558-0857Language
engPublication classification
C1 Refereed article in a scholarly journalCopyright notice
2019, IEEEIssue
7Publisher
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