Abstract
Cognitive radio (CR) is the underlying platform for the application of dynamic spectrum access (DSA) networks. Although the auction theory and spectrum trading mechanisms have been discussed in the CR related works, their joint techno-economic impact on the efficiency of distributed CR networks has not been researched yet. In this paper we assume heterogeneous primary channels with network availability statistics unknown to each secondary user (SU) terminal. In order to detect the idle primary user (PU) network channels, the SU terminals trigger regularly the spectrum sensing mechanism and make the cooperative decision regarding the channel status at the fusion center. The imperfections of the spectrum mechanism create the possibility of the channel collision, resulting in the existence of the risk (in terms of user collision) in the network. The spectrum trading within SU network is governed by the application of the sealed-bid first-price auction, which takes into account the channel valuation as well as the statistical probability of the risk existence. In order to maximize the long-term payoff, the SU terminals take an advantage of the reinforcement comparison strategy. The results demonstrate that in the investigated model, total revenue and total payoff of the SU operator (auctioneer) and SU terminals (bidders) are characterized by the existence of the global optimum, thus there exists the optimal sensing time guaranteeing the optimum economic factors for both SU operator and SU terminals.
Keywords
Cite this article
@article{cai-3884,
author = {Juraj Gazda and Slavomír Šimoňák and Emília Pietriková and Martin Chovanec and Eva Chovancová and Norbert Ádám and Csaba Szabó and Anton Baláž and Branislav Madoš},
title = {Agent-Based Model of the Spectrum Auctions with Sensing Imperfections in Dynamic Spectrum Access Networks},
journal = {Computing and Informatics},
volume = {36},
number = {5},
pages = {1041--1062},
year = {2017},
issn = {1335-9150},
doi = {10.4149/cai_2017_5_1041}
}
TY - JOUR AU - Juraj Gazda AU - Slavomír Šimoňák AU - Emília Pietriková AU - Martin Chovanec AU - Eva Chovancová AU - Norbert Ádám AU - Csaba Szabó AU - Anton Baláž AU - Branislav Madoš TI - Agent-Based Model of the Spectrum Auctions with Sensing Imperfections in Dynamic Spectrum Access Networks JO - Computing and Informatics VL - 36 IS - 5 SP - 1041 EP - 1062 PY - 2017 SN - 1335-9150 DO - 10.4149/cai_2017_5_1041 UR - https://doi.org/10.4149/cai_2017_5_1041 KW - Cognitive radio KW - dynamic spectrum access KW - reinforcement comparison KW - spectrum auction ER -
Gazda, J., Šimoňák, S., Pietriková, E., Chovanec, M., Chovancová, E., Ádám, N., Szabó, C., Baláž, A., & Madoš, B. (2017). Agent-Based Model of the Spectrum Auctions with Sensing Imperfections in Dynamic Spectrum Access Networks. Computing and Informatics, 36(5), 1041–1062. https://doi.org/10.4149/cai_2017_5_1041