A Novel Algorithm for Rate/Power Allocation in OFDM-based Cognitive Radio Systems with Statistical Interference Constraints

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

Research output: Contribution to journalConference article

2 Citations (Scopus)
2 Downloads (Pure)

Abstract

In this paper, we adopt a multiobjective optimization approach to jointly optimize the rate and power in OFDM-based cognitive radio (CR) systems. We propose a novel algorithm that jointly maximizes the OFDM-based CR system throughput and minimizes its transmit power, while guaranteeing a target bit error rate per subcarrier and a total transmit power threshold for the secondary user (SU), and restricting both co-channel and adjacent channel interferences to existing primary users (PUs) in a statistical manner. Since the interference constraints are met statistically, the SU transmitter does not require perfect channel-state-information (CSI) feedback from the PUs receivers. Closed-form expressions are derived for bit and power allocations per subcarrier. Simulation results illustrate the performance of the proposed algorithm and compare it to the case of perfect CSI. Further, the results show that the performance of the proposed algorithm approaches that of an exhaustive search for the discrete global optimal allocations with significantly reduced computational complexity.
Original languageEnglish
JournalIEEE Global Communications Conference
DOIs
Publication statusPublished - 12 Jun 2014
Event2013 IEEE Global Communications Conference (GLOBECOM) - Atlanta, United States
Duration: 9 Dec 201413 Dec 2014

Keywords

  • Throughput
  • Receivers
  • Bit error rate
  • OFDM
  • Optimization
  • Resource management
  • Interference constraints

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