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

Research Article

Scheduling Model for Cognitive Radio

  • @INPROCEEDINGS{10.1109/CROWNCOM.2008.4562478,
        author={Ping  Zhu and Jinglong  Li and Xufa  Wang},
        title={Scheduling Model for Cognitive Radio},
        proceedings={3rd International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications},
        publisher={IEEE},
        proceedings_a={CROWNCOM},
        year={2008},
        month={7},
        keywords={Cognitive radio priority queue CR schedule},
        doi={10.1109/CROWNCOM.2008.4562478}
    }
    
  • Ping Zhu
    Jinglong Li
    Xufa Wang
    Year: 2008
    Scheduling Model for Cognitive Radio
    CROWNCOM
    IEEE
    DOI: 10.1109/CROWNCOM.2008.4562478
Ping Zhu1,*, Jinglong Li1,*, Xufa Wang1,*
  • 1: Anhui Province Key Laboratory of Software in Computing and Communication Department of Computer Science and Technology University of Science and Technology of China Hefei, Anhui, China
*Contact email: zhupingg@mail.ustc.edu.cn, fjlli@ustc.edu.cn, xfwangg@ustc.edu.cn

Abstract

The priority queue model divides CR (cognitive radio) system users into primary user and secondary user. The primary user has preemptive priority over secondary user, while the same priority level users are FIFO served. This paper models the CR system based on scheduling technology. The secondary users are further divided into different priority levels. A hybrid priority dynamic policy, which indicates primary user's preemptive priority and secondary user's nonpreemptive priority, is developed to reduce spectrum switch overhead during spectrum leasing process. Theoretical analyzing shows that hybrid priority reduces the spectrum switch overhead and the hybrid priority improvement is a non-negative mono-increasing function of priority level. Based on the proposed policy, CR scheduling model is built and CR scheduling rule is provided and proved. Experimental comparison between CR scheduling and priority queue shows that CR scheduling gets a smaller weighted staying time sum than priority queue and the improvement increases as system becomes more congested.