Efficient pricing technique for resource allocation problem in uplink OFDM cognitive radio networks

Omar B. Abdulghafoor, Musbah M.R. Shaat, Mahamod Ismail, Rosdiadee Nordin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Cognitive radio (CR) has been proposed to solve the problem of spectrum under utilisation by opportunistically accessing unutilised bands. In this research, the problem of resource allocation in OFDM-CR networks has been examined. The main objective of this study, is to provide better control management for the interference to the primary user (PU) while maintain low complexity to the proposed algorithm. This objective has been secured by adopting pricing scheme to develop better power allocation algorithm with respect to the interference management. The performance of the proposed power allocation algorithm is tested for OFDM-based CRNs and has been compared to a number of related algorithms in the literature. The simulation results show excellent performance for the proposed algorithm compared to that algorithms presented in the literature with lower computational complexity, O(NM)+O(Nlog(N)), compared to the optimal solution.

Original languageEnglish
Title of host publication2016 IEEE 3rd International Symposium on Telecommunication Technologies, ISTT 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages75-80
Number of pages6
ISBN (Electronic)9781509054312
DOIs
Publication statusPublished - 2 May 2017
Event3rd IEEE International Symposium on Telecommunication Technologies, ISTT 2016 - Kuala Lumpur, Malaysia
Duration: 28 Nov 201630 Nov 2016

Other

Other3rd IEEE International Symposium on Telecommunication Technologies, ISTT 2016
CountryMalaysia
CityKuala Lumpur
Period28/11/1630/11/16

Fingerprint

resource allocation
Cognitive radio
Orthogonal frequency division multiplexing
Resource allocation
Costs
interference
Computational complexity

Keywords

  • OFDM Cognitive radio
  • pricing theory
  • resource allocation

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Instrumentation

Cite this

Abdulghafoor, O. B., Shaat, M. M. R., Ismail, M., & Nordin, R. (2017). Efficient pricing technique for resource allocation problem in uplink OFDM cognitive radio networks. In 2016 IEEE 3rd International Symposium on Telecommunication Technologies, ISTT 2016 (pp. 75-80). [7918088] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISTT.2016.7918088

Efficient pricing technique for resource allocation problem in uplink OFDM cognitive radio networks. / Abdulghafoor, Omar B.; Shaat, Musbah M.R.; Ismail, Mahamod; Nordin, Rosdiadee.

2016 IEEE 3rd International Symposium on Telecommunication Technologies, ISTT 2016. Institute of Electrical and Electronics Engineers Inc., 2017. p. 75-80 7918088.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abdulghafoor, OB, Shaat, MMR, Ismail, M & Nordin, R 2017, Efficient pricing technique for resource allocation problem in uplink OFDM cognitive radio networks. in 2016 IEEE 3rd International Symposium on Telecommunication Technologies, ISTT 2016., 7918088, Institute of Electrical and Electronics Engineers Inc., pp. 75-80, 3rd IEEE International Symposium on Telecommunication Technologies, ISTT 2016, Kuala Lumpur, Malaysia, 28/11/16. https://doi.org/10.1109/ISTT.2016.7918088
Abdulghafoor OB, Shaat MMR, Ismail M, Nordin R. Efficient pricing technique for resource allocation problem in uplink OFDM cognitive radio networks. In 2016 IEEE 3rd International Symposium on Telecommunication Technologies, ISTT 2016. Institute of Electrical and Electronics Engineers Inc. 2017. p. 75-80. 7918088 https://doi.org/10.1109/ISTT.2016.7918088
Abdulghafoor, Omar B. ; Shaat, Musbah M.R. ; Ismail, Mahamod ; Nordin, Rosdiadee. / Efficient pricing technique for resource allocation problem in uplink OFDM cognitive radio networks. 2016 IEEE 3rd International Symposium on Telecommunication Technologies, ISTT 2016. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 75-80
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