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Secrecy Fairness Aware NOMA for Untrusted Users
Indian Inst Technol Jammu, India.
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-3225-6495
Indian Inst Technol Jammu, India.
2019 (English)In: 2019 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), IEEE , 2019Conference paper, Published paper (Refereed)
Abstract [en]

Spectrally-efficient secure non-orthogonal multiple access (NOMA) has recently attained a substantial research interest for fifth generation development. This work explores crucial security issue in NOMA which is stemmed from utilizing the decoding concept of successive interference cancellation. Considering untrusted users, we design a novel secure NOMA transmission protocol to maximize secrecy fairness among users. A new decoding order for two users NOMA is proposed that provides positive secrecy rate to both users. Observing the objective of maximizing secrecy fairness between users under given power budget constraint, the problem is formulated as minimizing the maximum secrecy outage probability (SOP) between users. In particular, closed-form expressions of SOP for both users are derived to analyze secrecy performance. SOP minimization problems are solved using pseudoconvexity concept, and optimized power allocation (PA) for each user is obtained. Asymptotic expressions of SOPs, and optimal PAs minimizing these approximations are obtained to get deeper insights. Further, globally-optimized power control solution from secrecy fairness perspective is obtained at a low computational complexity and, asymptotic approximation is obtained to gain analytical insights. Numerical results validate the correctness of analysis, and present insights on optimal solutions. Finally, we present insights on global-optimal PA by which fairness is ensured and gains of about 55:12%, 69:30%, and 19:11%, respectively are achieved, compared to fixed PA and individual users optimal PAs.

Place, publisher, year, edition, pages
IEEE , 2019.
Series
IEEE Global Communications Conference, ISSN 2334-0983
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:liu:diva-168215DOI: 10.1109/GLOBECOM38437.2019.9014034ISI: 000552238604143ISBN: 978-1-7281-0962-6 (electronic)OAI: oai:DiVA.org:liu-168215DiVA, id: diva2:1459414
Conference
IEEE Global Communications Conference (GLOBECOM)
Available from: 2020-08-19 Created: 2020-08-19 Last updated: 2020-08-19

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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