Collaborative spectrum trading and sharing for cognitive radio networks

Xuanheng Li*, Haichuan Ding, Yuguang Fang, Miao Pan, Pan Li, Xiaoxia Huang, Yi Sun, Savo Glisic

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

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Abstract

Spectrum trading is one of the most promising approaches to enabling dynamic spectrum access (DSA) in cognitive radio networks (CRNs).With this approach, unlicensed users (a.k.a. secondary users) offer licensed users (a.k.a. primary users) with monetary rewards or improved quality of services (QoSs) in exchange for spectrum access rights. In this chapter, we present a comprehensive introduction to spectrum trading. First, we provide a brief introduction to DSA and CRNs as the background and motivation for the spectrum trading. Then, we present various state-of-the-art spectrum trading mechanisms for spectrum sharing. Finally, by analyzing various design issues in these mechanisms, we introduce the concept of service-oriented spectrum trading and offer a novel collaborative network architecture, called a cognitive mesh assisted network, to effectively utilize unused licensed/unlicensed spectrums with high spectral efficiency. We expect that this chapter provides readers with basic understanding on spectrum trading technology and foster future research initiatives.

Original languageEnglish
Title of host publicationHandbook of Cognitive Radio
PublisherSpringer Singapore
Pages931-968
Number of pages38
Volume2-3
ISBN (Electronic)9789811013942
ISBN (Print)9789811013935
DOIs
Publication statusPublished - 21 Feb 2019
Externally publishedYes

Keywords

  • Auction theory
  • Cognitive mesh assisted networks
  • Cognitive radio networks
  • Dynamic spectrum access
  • Game theory
  • Spectrum trading

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Li, X., Ding, H., Fang, Y., Pan, M., Li, P., Huang, X., Sun, Y., & Glisic, S. (2019). Collaborative spectrum trading and sharing for cognitive radio networks. In Handbook of Cognitive Radio (Vol. 2-3, pp. 931-968). Springer Singapore. https://doi.org/10.1007/978-981-10-1394-2_27