Pricing for past channel state information in multi-channel cognitive radio networks

Sunjung Kang, Changhee Joo, Joohyun Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Cognitive Radio (CR) networks have received much attention as a solution to the spectrum inefficiency problem of current license-based regulatory management. In CR networks, Secondary User (SU) can use a spectrum vacancy that can be detected by either sensing-before-transmission or database access. However, sensing inaccuracy or long access time to database often becomes a major obstacle to timely detect the spectrum vacancy. In this paper, we develop a hybrid detection framework in multi-channel CR networks, where an SU can selectively sense a channel for spectrum vacancy by accessing the spectrum history of Markovian channels. We focus on the value of the channel history information offered by the Primary Provider (PP) of each channel, and consider a market for the information between multiple PPs and SU. We investigate the interplay between of the PPs and the SU through their pricing and buying decisions for the information, in the presence of sensing inaccuracy, i.e., false alarm and miss detection.

Original languageEnglish
Title of host publication2016 14th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509013111
DOIs
Publication statusPublished - 2016 Jun 15
Externally publishedYes
Event14th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2016 - Tempe, United States
Duration: 2016 May 92016 May 13

Publication series

Name2016 14th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2016

Conference

Conference14th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2016
Country/TerritoryUnited States
CityTempe
Period16/5/916/5/13

Bibliographical note

Funding Information:
This work is supported in part by Basic Science Research Program through the National Research Foundation of Korea (NRF), funded by the Ministry of Science, ICT Future Planning (No. NRF-2014R1A1A1A05002557)

Publisher Copyright:
© 2016 IEEE.

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Control and Optimization
  • Modelling and Simulation

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