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Block compressed sensing based distributed resource allocation for M2M communications

: Chang, Y.; Jung, P.; Zhou, C.; Stanczak, S.


Institute of Electrical and Electronics Engineers -IEEE-; IEEE Signal Processing Society:
IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016. Proceedings : March 20-25, 2016, Shanghai International Convention Center, Shanghai, China
Piscataway, NJ: IEEE, 2016
ISBN: 978-1-4799-9988-0 (electronic)
ISBN: 978-1-4799-9987-3 (USB)
ISBN: 978-1-4799-9989-7 (print)
International Conference on Acoustics, Speech and Signal Processing (ICASSP) <2016, Shanghai>
Fraunhofer HHI ()

In this paper, we utilize the framework of compressed sensing (CS) for device detection and distributed resource allocation in large-scale machine-to-machine (M2M) communication networks. The devices are partitioned into clusters according to some pre-defined criteria, e.g., proximity or service type. Moreover, by the sparse nature of the event occurrence in M2M communications, the activation pattern of the M2M devices can be formulated as a particular block sparse signal with additional in-block structure in CS based applications.