5th International ICST Conference on Wireless Internet

Research Article

Joint spectrum allocation and relay selection in cellular cognitive radio networks

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  • @INPROCEEDINGS{10.4108/ICST.WICON2010.8532,
        author={Ke Lang and Yuan Wu and Danny H.K. Tsang},
        title={Joint spectrum allocation and relay selection in cellular cognitive radio networks},
        proceedings={5th International ICST Conference on Wireless Internet},
        publisher={IEEE},
        proceedings_a={WICON},
        year={2010},
        month={4},
        keywords={Cellular networks Channel allocation Cognitive radio Digital TV Interference Land mobile radio cellular systems Protection Protective relaying Relays Throughput},
        doi={10.4108/ICST.WICON2010.8532}
    }
    
  • Ke Lang
    Yuan Wu
    Danny H.K. Tsang
    Year: 2010
    Joint spectrum allocation and relay selection in cellular cognitive radio networks
    WICON
    IEEE
    DOI: 10.4108/ICST.WICON2010.8532
Ke Lang1,*, Yuan Wu1,*, Danny H.K. Tsang1,*
  • 1: Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology
*Contact email: langke@ust.hk, ecewuy@ust.hk, eetsang@ece.ust.hk

Abstract

Cognitive radio network (CRN) has been proposed in recent years to solve the spectrum scarcity problem by exploiting the existence of spectrum holes. One of the important issues in a cellular CRN is how to efficiently allocate primary user (PU) spectrums without causing harmful interference to PUs. In this paper, we present a cross-layer framework which jointly considers spectrum allocation and relay selection with the objective of maximizing the minimum traffic demand of secondary users (SUs) in a cellular CRN. Specifically, we consider (1) CRN tries to utilize PU spectrums even when the CRN cell is not outside the protection region of the PU cell, and (2) cooperative relay is used in cellular CRNs to improve the utilization of PU spectrums. We formulate this cross-layer design problem as a mixed integer linear programming (MILP), and use LINGO to obtain the optimal solution. Compared with a simple channel allocation scheme, the numerical results show a significant improvement by using our method.