Rate-Interference Tradeoff in OFDM-based Cognitive Radio Networks

Ebrahim Bedeer Mohamed, Octavia A. Dobre, Mohamed Hossam Ahmed, Kareem E. Baddour

Research output: Contribution to journalConference article

2 Citations (Scopus)
11 Downloads (Pure)

Abstract

In cognitive radio (CR) networks, secondary users (SUs) are allowed to opportunistically access the primary users (PUs) spectrum to improve the spectrum utilization; however, this increases the interference levels at the PUs. In this paper, we consider an orthogonal frequency division multiplexing OFDM-based CR network and investigate the tradeoff between increasing the SU transmission rate (hence improving the spectrum utilization) and reducing the interference levels at the PUs. We formulate a new multiobjective optimization (MOOP) problem that jointly maximizes the SU transmission rate and minimizes its transmit power, while imposing interference thresholds to the PUs. Further, we propose an algorithm to strike a balance between the SU transmission rate and the interference levels to the PUs. The proposed algorithm considers the practical scenario of knowing partial channel state information (CSI) of the links between the SU transmitter and the PUs receivers. Simulation results illustrate the performance of the proposed algorithm and its superiority when compared to the work in the literature.
Original languageEnglish
JournalIEEE Global Communications Conference
DOIs
Publication statusPublished - 12 Feb 2015
Event2014 IEEE Global Communications Conference - Austin, United States
Duration: 8 Dec 201412 Dec 2014

Keywords

  • Cognitive Radio Networks
  • joint rate and power adaptation
  • multiobjective optimization (MOOP)
  • OFDM systems

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