Characterization of coded random access with compressive sensing based multi user detection

Yalei Ji, Cedomir Stefanovic, Carsten Bockelmann, Armin Dekorsy, Petar Popovski

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

29 Citations (Scopus)
495 Downloads (Pure)

Abstract

The emergence of Machine-to-Machine (M2M) communication requires new Medium Access Control (MAC) schemes and physical (PHY) layer concepts to support a massive number of access requests. The concept of coded random access, introduced recently, greatly outperforms other random access methods and is inherently capable to take advantage of the capture effect from the PHY layer. Furthermore, at the PHY layer, compressive sensing based multi-user detection (CS-MUD) is a novel technique that exploits sparsity in multi-user detection to achieve a joint activity and data detection. In this paper, we combine coded random access with CS-MUD on the PHY layer and show very promising results for the resulting protocol.
Original languageEnglish
Title of host publicationProceedings of the 2014 IEEE Global Communications Conference (GLOBECOM)
PublisherIEEE Communications Society
Publication dateDec 2014
Pages1740-1745
ISBN (Print)978-1-4799-3512-3
DOIs
Publication statusPublished - Dec 2014
EventIEEE Globecom 2014 - Hilton Hotel Austin, Austin, Texas, United States
Duration: 8 Dec 201412 Dec 2014

Conference

ConferenceIEEE Globecom 2014
LocationHilton Hotel Austin
Country/TerritoryUnited States
CityAustin, Texas
Period08/12/201412/12/2014
SeriesGLOBECOM - conference record / IEEE Global Telecommunications Conference
ISSN0895-1195

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