3rd International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications

Research Article

Adaptive Subband Selection in OFDM-Based Cognitive Radios for Better System Coexistence

  • @INPROCEEDINGS{10.1109/CROWNCOM.2008.4562463,
        author={Pingzhou Tu and Xiaojing Huang and Eryk Dutkiewicz},
        title={Adaptive Subband Selection in OFDM-Based Cognitive Radios for Better System Coexistence},
        proceedings={3rd International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications},
        publisher={IEEE},
        proceedings_a={CROWNCOM},
        year={2008},
        month={7},
        keywords={Subband selection coexistence interference suppression cognitive radio OFDM},
        doi={10.1109/CROWNCOM.2008.4562463}
    }
    
  • Pingzhou Tu
    Xiaojing Huang
    Eryk Dutkiewicz
    Year: 2008
    Adaptive Subband Selection in OFDM-Based Cognitive Radios for Better System Coexistence
    CROWNCOM
    IEEE
    DOI: 10.1109/CROWNCOM.2008.4562463
Pingzhou Tu1,*, Xiaojing Huang1,*, Eryk Dutkiewicz1,*
  • 1: School of Electrical, Computer and Telecommunications Engineering University of Wollongong, Australia
*Contact email: pt015@uow.edu.au, huang@uow.edu.au, eryk@uow.edu.au

Abstract

In an environment of shared radio spectrum, multiple systems may interfere with each other and cause significant impacts on system coexistence. In this paper we propose an adaptive subband selection technique based on orthogonal frequency division multiplexing (OFDM) to avoid interference for better system coexistence when multiple systems are operating in the same unlicensed industrial, scientific and medical (ISM) bands. Under the assumption that the interference power level and the interfered frequency bands are identified at the receiver, interference thresholds, determined over both Gaussian and multipath fading channels, are applied to adaptively select the transmission subbands so that interference is avoided and the system coexistence issues are relaxed. To verify the effectiveness of the proposed adaptive subband selection method, the system bit error rates (BERs) under different interference levels are simulated and compared.