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Novel subcarrier pairing strategy for DF relayed secure OFDMA with untrusted users
Department of Electrical Engineering, Shiv Nadar University, Uttar Pradesh, India .
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-3225-6495
Department of Electrical Engineering, Indian Institute of Technology, Delhi, India.
2018 (English)In: 2017 IEEE Globecom Workshops (GC Wkshps), Institute of Electrical and Electronics Engineers (IEEE), 2018, Vol. 2018-January, p. 1-6Conference paper, Published paper (Refereed)
Abstract [en]

This paper investigates joint resource allocation problem involving subcarrier allocation, subcarrier pairing (SCP), and power allocation for maximizing sum secure rate in a decode-and-forward (DF) relay assisted OFDMA system with untrusted users. Optimal SCP is highlighted as a novel notion of channel gain tailoring rather than conventional channel gain matching. It is proven that the optimal SCP intends to pair subcarriers such that the variance between the effective channel gains is minimized. It is also shown that depending on the individual power budget constraints at source and the relay, SCP can take either a subordinate role for improving the energy efficiency or the main role of improving the spectral efficiency of the system. SCP as a channel gain tailoring strategy and its role in improving the spectral as well as energy efficiency of cooperative secure communication are highlighted through the simulation results.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2018. Vol. 2018-January, p. 1-6
Keywords [en]
Budget control; Cooperative communication; Energy efficiency; Orthogonal frequency division multiplexing, Decode and forward; Joint resource allocations; OFDMA systems; Power allocations; Power budgets; Spectral efficiencies; Sub-carrier allocation; Subcarrier pairings, Frequency division multiple access
National Category
Communication Systems Signal Processing Computer and Information Sciences
Identifiers
URN: urn:nbn:se:liu:diva-155743DOI: 10.1109/GLOCOMW.2017.8269225ISBN: 9781538639207 (electronic)ISBN: 9781538639214 (electronic)OAI: oai:DiVA.org:liu-155743DiVA, id: diva2:1299129
Conference
2017 IEEE Globecom Workshops (GC Wkshps), 4-8 Dec. 2017, Singapore
Available from: 2019-03-26 Created: 2019-03-26 Last updated: 2019-03-26Bibliographically approved

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Mishra, Deepak

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CiteExportLink to record
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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