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Device Activity and Embedded Information Bit Detection Using AMP in Massive MIMO
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-7599-4367
2017 (English)In: 2017 IEEE GLOBECOM WORKSHOPS (GC WKSHPS), IEEE , 2017Conference paper, Published paper (Refereed)
Abstract [en]

Future cellular networks will support a massive number of devices as a result of emerging technologies such as Internet-of-Things and sensor networks. Enhanced by machine type communication (MTC), low-power low-complex devices in the order of billions are projected to receive service from cellular networks. Contrary to traditional networks which are designed to handle human driven traffic, future networks must cope with MTC based systems that exhibit sparse traffic properties, operate with small packets and contain a large number of devices. Such a system requires smarter control signaling schemes for efficient use of system resources. In this work, we consider a grant-free random access cellular network and propose an approach which jointly detects user activity and single information bit per packet. The proposed approach is inspired by the approximate message passing (AMP) and demonstrates a superior performance compared to the original AMP approach. Furthermore, the numerical analysis reveals that the performance of the proposed approach scales with number of devices, which makes it suitable for user detection in cellular networks with massive number of devices.

Place, publisher, year, edition, pages
IEEE , 2017.
Series
IEEE Globecom Workshops, ISSN 2166-0069
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:liu:diva-147209DOI: 10.1109/GLOCOMW.2017.8269163ISI: 000426984700132ISBN: 978-1-5386-3920-7 (print)OAI: oai:DiVA.org:liu-147209DiVA, id: diva2:1197243
Conference
36th IEEE Global Communications Conference (GLOBECOM)
Note

Funding Agencies|Swedish Research Council (VR); ELLIIT

Available from: 2018-04-12 Created: 2018-04-12 Last updated: 2018-04-12

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf