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Optimal Allocation of Non-uniformly Partitioned Bandwidth for Cognitive Communications under Fading Conditions
South China University of Technology, Peoples R China.
University of Maryland, MD 20742 USA.
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering. University of Maryland, MD 20742 USA.
2016 (English)In: 2016 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), IEEE , 2016, 802-807 p.Conference paper (Refereed)
Abstract [en]

Dynamic spectrum sensing and opportunistic access in cognitive communications enable secondary users to recognize and utilize the white spaces of the licensed bandwidth. Our prior work proposed a non-uniform scheme of bandwidth partition and traffic allocation with the aim of regularizing the primary users (PUs) bandwidth occupancy pattern, which was able to improve the performance of the secondary user (SU). In the current paper, we study the non-uniform scheme under fading situations. The optimal bandwidth allocation under fading situations is defined as maximizing the spare capacity for the SU subject to satisfying the PUs demand. The problem is proved to be NP-hard. To lower the computational overhead, we further study the problem of maximizing the spare subcarriers for the SU, and propose an optimal algorithm for the PU traffic allocation with polynomial time complexity. By numerical simulations, we demonstrate that the algorithm is able to achieve almost identical performance to that of the optimal solution of the original problem. In addition, the non-uniform scheme, which is based on that algorithm, exhibits better performance than the uniform one even under fading situations.

Place, publisher, year, edition, pages
IEEE , 2016. 802-807 p.
Series
IEEE International Conference on Communications, ISSN 1550-3607
Keyword [en]
Cognitive communication; non-uniform bandwidth partition; sensing efficiency
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:liu:diva-134222DOI: 10.1109/ICC.2016.7510790ISI: 000390993200132ISBN: 978-1-4799-6664-6 OAI: oai:DiVA.org:liu-134222DiVA: diva2:1069773
Conference
IEEE International Conference on Communications (ICC)
Available from: 2017-01-30 Created: 2017-01-29 Last updated: 2017-01-30

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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