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Author

Joo, Changhee
Learning, Modeling, and Networking
Research Interests
  • Learning, modeling, networking, resource allocation, stochastic optimization, distributed computing, low complexity

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Pricing for Past Channel State Information in Multi-Channel Cognitive Radio Networks

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Title
Pricing for Past Channel State Information in Multi-Channel Cognitive Radio Networks
Author
Kang, SunjungJoo, ChangheeLee, JoohyunShroff, Ness B.
Keywords
Cognitive radio;  pricing;  network economics;  Stackelberg game;  Gilbert-Elliott channel model
Issue Date
201804
Publisher
IEEE COMPUTER SOC
Citation
IEEE TRANSACTIONS ON MOBILE COMPUTING, v.17, no.4, pp.859 - 870
Abstract
Cognitive Radio (CR) networks have received significant attention as a promising approach to improve the spectrum efficiency of current license-based regulatory system. In CR networks, a Secondary User (SU) can use a spectrum vacancy that can be detected by either sensing-before-transmission or database access. However, it is often difficult to detect a vacant spectrum opportunity because of inaccuracies due to sensing and delays to update and/or the database that holds this information. 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 exchange between multiple PPs and SUs. We investigate the interplay between of the PPs and the SUs through their pricing and buying decisions for this information, in the presence of sensing inaccuracy, i.e., false alarm and miss detection.
URI
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DOI
http://dx.doi.org/10.1109/TMC.2017.2740931
ISSN
1536-1233
Appears in Collections:
ECE_Journal Papers

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