Chance-constrained optimization of OFDMA cognitive radio uplinks

Nasim Yahya Soltani, Seung Jun Kim, Georgios B Giannakis

Research output: Contribution to journalArticlepeer-review

67 Scopus citations

Abstract

A resource allocation task for the uplink of OFDMA-based cognitive radio (CR) systems is considered. The weighted sum-rate is maximized over subcarrier assignment as well as over power loading per CR user, while protecting primary user (PU) systems. However, due to the lack of explicit support from PU systems, the channels from CR users to the PU may not be accurately acquired. Thus, the PU interference constraint is posed as a chance constraint, for which conservative convex approximation is employed for tractability. In particular, to mitigate the combinatorial complexity incurred for optimal subcarrier assignment, a separable structure is pursued, and the dual decomposition method is adopted to obtain near-optimal solutions. Numerical tests verify that the proposed algorithms yield higher weighted sum-rate at lower computational complexity than a benchmark algorithm.

Original languageEnglish (US)
Article number6416888
Pages (from-to)1098-1107
Number of pages10
JournalIEEE Transactions on Wireless Communications
Volume12
Issue number3
DOIs
StatePublished - Jan 29 2013

Keywords

  • Cognitive radios
  • chance-constrained programming
  • channel uncertainty
  • orthogonal frequency-division multiple access
  • resource allocation

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