Chance-constrained optimization of uplink parameters for OFDMA cognitive radios

Nasim Yahya Soltani, Seung Jun Kim, Georgios B. Giannakis

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

2 Scopus citations

Abstract

This paper deals with the resource allocation task for the uplink of OFDMA-based cognitive radio (CR) systems. A weighted sum-rate maximization problem is formulated to optimize the subcarrier assignment as well as the power loading per CR user, while protecting the primary user (PU) systems. Since the CR-to-PU channels may not be accurately acquired, the PU interference constraint is cast as a chance constraint. Consequently, a convex conservative approximation of the chance constraint is employed for tractability reasons. In particular, to mitigate the combinatorial complexity incurred for optimal subcarrier assignment, a separable structure is pursued, and the dual decomposition method is employed to obtain a near-optimal solver. The resultant algorithm is tested via simulated tests.

Original languageEnglish (US)
Title of host publication2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings
Pages2813-2816
Number of pages4
DOIs
StatePublished - 2012
Event2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Kyoto, Japan
Duration: Mar 25 2012Mar 30 2012

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Other

Other2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012
Country/TerritoryJapan
CityKyoto
Period3/25/123/30/12

Keywords

  • OFDMA
  • channel uncertainty
  • cognitive radios
  • optimization
  • resource allocation

Fingerprint

Dive into the research topics of 'Chance-constrained optimization of uplink parameters for OFDMA cognitive radios'. Together they form a unique fingerprint.

Cite this