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

Research Article

Misallocation-Averse Policy for Decentralized Resource Allocation in Spectrum Sharing Systems (Invited Paper)

  • @INPROCEEDINGS{10.1109/CROWNCOM.2008.4562513,
        author={Takefumi Yamada and Ivan Cosovic and Koji Maeda and Stefan Kaiser},
        title={Misallocation-Averse Policy for Decentralized Resource Allocation in Spectrum Sharing Systems (Invited Paper)},
        proceedings={3rd International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications},
        publisher={IEEE},
        proceedings_a={CROWNCOM},
        year={2010},
        month={5},
        keywords={Spectrum sharing decentralized resource allocation inequality-averse misallocation-averse.},
        doi={10.1109/CROWNCOM.2008.4562513}
    }
    
  • Takefumi Yamada
    Ivan Cosovic
    Koji Maeda
    Stefan Kaiser
    Year: 2010
    Misallocation-Averse Policy for Decentralized Resource Allocation in Spectrum Sharing Systems (Invited Paper)
    CROWNCOM
    IEEE
    DOI: 10.1109/CROWNCOM.2008.4562513
Takefumi Yamada1,*, Ivan Cosovic2,*, Koji Maeda1,*, Stefan Kaiser2,*
  • 1: NTT DoCoMo, Inc., 3-5 Hikari-no-oka, Yokosuka, Kanagawa, 239-8536 Japan
  • 2: DoCoMo Euro-Labs, Landsberger Str. 312, 80687 Munich, Germany
*Contact email: yamadatak@nttdocomo.co.jp, cosovic@docomolab-euro.com, maedakou@nttdocomo.co.jp, kaiser@docomolab-euro.com

Abstract

It is becoming increasingly difficult to satisfy the growing demands on spectrum with the conventional policy of fixed spectrum allocation. To overcome this problem, flexible and dynamic spectrum sharing methods that can significantly improve utilization of the spectrum have gained increasing interest recently. In this paper, resource allocation in decentralized spectrum sharing systems applying the existing policy rule referred to as “inequality-averse policy” is focused on. The problem related to the impact of inaccurate estimation of future traffic demands on the performance of such systems is addressed. To alleviate the problem, a novel policy termed misallocation-averse policy, which introduces adjusting factors and is resistant to such estimation errors, is proposed. The effectiveness of the proposed policy rule is verified through computer simulations.