AGENT-BASED MODEL OF THE SPECTRUM AUCTIONS WITH SENSING IMPERFECTIONS IN DYNAMIC SPECTRUM ACCESS NETWORKS

Authored by Juraj Gazda, Slavomir Simonak, Emilia Pietrikova, Martin Chovanec, Eva Chovancova, Norbert Adam, Csaba Szabo, Anton Balaz, Branislav Mados

Date Published: 2017

DOI: 10.4149/cai_2017_5_1041

Sponsors: Research Agency of the Republic of Slovenia Slovak Research and Development Agency Slovak Republic

Platforms: No platforms listed

Model Documentation: Other Narrative Mathematical description

Model Code URLs: Model code not found

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.

Tags

Optimization Power Cognitive radio System Dynamic spectrum access Reinforcement Reinforcement comparison Spectrum auction Cognitive radio networks