Location-oriented evolutionary games for spectrum sharing

Zhang, Feixiang; Zhou, Xiangwei

doi:10.1109/glocom.2014.7036947

Cited by 8 publications

(3 citation statements)

References 12 publications

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“…In [49], a method of idle channels sharing in overlapped licensed areas among PUs and SUs was proposed. Based on supply and demand fluctuations in different areas, SUs were grouped based on their suppliers, and channel transaction quotas were set by PUs for these SU groups accordingly.…”

Section: ) Channel Selection and Transactionmentioning

confidence: 99%

When Machine Learning Meets Spectrum Sharing Security: Methodologies and Challenges

Wang

Sun

et al. 2022

IEEE Open J. Commun. Soc.

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The exponential growth of internet connected systems has generated numerous challenges, such as spectrum shortage issues, which require efficient spectrum sharing (SS) solutions. Complicated and dynamic SS systems can be exposed to different potential security and privacy issues, requiring protection mechanisms to be adaptive, reliable, and scalable. Machine learning (ML) based methods have frequently been proposed to address those issues. In this article, we provide a comprehensive survey of the recent development of ML based SS methods, the most critical security issues, and corresponding defense mechanisms. In particular, we elaborate the state-of-the-art methodologies for improving the performance of SS communication systems for various vital aspects, including ML based cognitive radio networks (CRNs), ML based database assisted SS networks, ML based LTE-U networks, ML based ambient backscatter networks, and other ML based SS solutions. We also present security issues from the physical layer and corresponding defending strategies based on ML algorithms, including Primary User Emulation (PUE) attacks, Spectrum Sensing Data Falsification (SSDF) attacks, jamming attacks, eavesdropping attacks, and privacy issues. Finally, extensive discussions on open challenges for ML based SS are also given. This comprehensive review is intended to provide the foundation for and facilitate future studies on exploring the potential of emerging ML for coping with increasingly complex SS and their security problems.

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Section: ) Channel Selection and Transactionmentioning

confidence: 99%

When Machine Learning Meets Spectrum Sharing Security: Methodologies and Challenges

Wang

Sun

et al. 2022

IEEE Open J. Commun. Soc.

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“…Unlicensed secondary users would like to access the spectrum by purchasing idle spectrum channels from primary users whose license covers their location. These locations create a buyer-seller network where a link indicates a secondary user (or buyer) is located in a primary user's (or seller's) licensed area; see Zhang and Zhou [11]. The electrical engineering literature often suggests auctions as the best mechanism for such sales 3 ; see Zhang, et al [12] and Chun and La [13].…”

Section: Introductionmentioning

confidence: 99%

“…Data obtained by Lusht [7] and Stevenson, Young, and Gurdgiev [8] also show a significant number of private sales versus auctions in real estate auctions occurring in Melbourne and Dublin, respectively. 3 Alternatively, Zhang and Zhou [11] consider a mechanism for sharing channels where primary users set quotas based on secondary user's locations in order to maximize profits.…”

Section: Introductionmentioning

confidence: 99%

Auctions Versus Private Negotiations in Buyer-Seller Networks

Watts

2016

Games

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Buyer-seller networks where price is determined by an ascending-bid auction are important in many economic examples such as certain real estate markets, radio spectrum sharing, and buyer-supplier networks. However, it may be that some sellers are better off not participating in the auction. We consider what happens if sellers can make a take it or leave it offer to one of their linked buyers before the auction takes place and thus such a seller can choose not to participate in the auction. We give conditions on the graph and buyers valuations under which the buyer and seller will both agree to such a take it or leave it offer. Specifically, the buyer-seller pair will choose private negotiation over the auction if the seller acts as a network bridge with power over the buyer and if there are enough buyers with low valuations so that the seller does not expect to receive a high price in the auction.

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2023

5G and Beyond Wireless Communication Networks

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Location-oriented evolutionary games for spectrum sharing

Cited by 8 publications

References 12 publications

When Machine Learning Meets Spectrum Sharing Security: Methodologies and Challenges

When Machine Learning Meets Spectrum Sharing Security: Methodologies and Challenges

Auctions Versus Private Negotiations in Buyer-Seller Networks

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