ws 14(1): e1

Research Article

Spectrum Trading for Efficient Spectrum Utilization

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  • @ARTICLE{10.4108/ws.1.1.e1,
    author={Cong Xiong and Geoffrey  Ye Li and  Lu  Lu and Daquan Feng and Zhi  Ding and Helena  Mitchell},
    title={Spectrum Trading for Efficient Spectrum Utilization},
    journal={EAI Endorsed Transactions on Wireless Spectrum},
    volume={1},
    number={1},
    publisher={ICST},
    journal_a={WS},
    year={2014},
    month={4},
    keywords={spectrum market, spectrum trading, dynamic spectrum sharing and access},
    doi={10.4108/ws.1.1.e1}
}
  • Cong Xiong
    Geoffrey Ye Li
    Lu Lu
    Daquan Feng
    Zhi Ding
    Helena Mitchell
    Year: 2014
    Spectrum Trading for Efficient Spectrum Utilization
    WS
    ICST
    DOI: 10.4108/ws.1.1.e1
Cong Xiong1,*, Geoffrey Ye Li1, Lu Lu1, Daquan Feng1,2, Zhi Ding3, Helena Mitchell4
  • 1: School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA
  • 2: National Key Lab on Commun., University of Electronic Science and Technology of China, Chengdu, China
  • 3: School of Electrical and Computer Engineering, University of California, Davis, CA, USA
  • 4: Center for Advanced Communications Policy, Georgia Institute of Technology, Atlanta, GA, USA
*Contact email: xiongcong@gatech.edu

Abstract

The conventional command and control based spectrum management has led to substantial underutilization of some spectrum bands while severely crowding others due to the uneven and dynamic needs that vary over time and at different locations. Spectrum trading has emerged as a promising management approach to substantially improve spectrum utilization and user experience in wireless communications by taking advantage of market-based mechanisms. This article presents an overview of spectrum trading, including the fundamental characteristics of spectrum trading markets, the state-of-the-art techniques for modeling and resolving various spectrum trading issues, and trading based dynamic spectrum sharing and access. Moreover, some open issues in spectrum trading are identified for future research in this area.

Keywords
spectrum market, spectrum trading, dynamic spectrum sharing and access
Accepted
2014-01-29
Published
2014-04-11
Publisher
ICST
http://dx.doi.org/10.4108/ws.1.1.e1

Copyright © 2014 Cong Xiong et al., licensed to ICST. This is an open access article distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.