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One objective of the 5G communication system and beyond is to support massivemachine type of communication (mMTC) to propel the fast growth of diverseInternet of Things use cases. The mMTC aims to provide connectivity to tens ofbillions sensor nodes. The dramatic increase of sensor devices and massiveconnectivity impose critical challenges for the network to handle the enormouscontrol signaling overhead with limited radio resource. Non-Orthogonal MultipleAccess (NOMA) is a new paradigm shift in the design of multiple user detectionand multiple access. NOMA with compressive sensing based multiuser detection isone of the promising candidates to address the challenges of mMTC. The surveyarticle aims at providing an overview of the current state-of-art research workin various compressive sensing based techniques that enable NOMA. We presentcharacteristics of different algorithms and compare their pros and cons,thereby provide useful insights for researchers to make further contributionsin NOMA using compressive sensing techniques.

A Survey: Non-Orthogonal Multiple Access with Compressed Sensing Multiuser Detection for mMTC