6th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications

Research Article

Broker Based Secondary Spectrum Trading

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  • @INPROCEEDINGS{10.4108/icst.crowncom.2011.245892,
        author={Joseph Mwangoka and Paulo Marques and Jonathan Rodriguez},
        title={Broker Based Secondary Spectrum Trading},
        proceedings={6th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications},
        publisher={IEEE},
        proceedings_a={CROWNCOM},
        year={2012},
        month={5},
        keywords={spectrum broker secondary spectrum trading auction TV white spaces MMKP},
        doi={10.4108/icst.crowncom.2011.245892}
    }
    
  • Joseph Mwangoka
    Paulo Marques
    Jonathan Rodriguez
    Year: 2012
    Broker Based Secondary Spectrum Trading
    CROWNCOM
    IEEE
    DOI: 10.4108/icst.crowncom.2011.245892
Joseph Mwangoka1,*, Paulo Marques1, Jonathan Rodriguez1
  • 1: Instituto de Telecomunicações - Aveiro
*Contact email: joseph@av.it.pt

Abstract

Radio spectrum license is multi-dimensional in nature. This suggests that matching a bid to buy and an offer to sell has to be done across the multiple dimensions to maximize spectrum usage in terms of economic efficiency. In addition, creating a functioning secondary market for trading spectrum requires an intermediary for both pooling the resources and matching the supply and demand sides of the equation. This paper proposes a multiple-dimension auctioning mechanism through a broker to facilitate an efficient secondary spectrum market. A broker for orchestrating the market is proposed describing its basic functionalities. Two trading negotiation protocols, i.e., merchant and auction, are discussed. Focusing on the auction mode, the multiple-winner determination problem (mWDP) is defined and cast into a multidimensional multiple-choice knapsack problem (MMKP). Since the MMKP is NP-complete, two heuristic algorithms to solve the mWDP namely (1) area-by-area (ABA), and (2) maximum-utility-first (MUFA) are presented. Numerical studies illustrating the potential of the algorithms are presented. The numerical studies indicate that MUFA is better in addressing the exposure problem.