Auction theory for modern computer networks : fundamentals and applications / Dusit Niyato, Nguyen Cong Luong, Ping Wang, Zhu Han.
By: Niyato, Dusit [author.]
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Contributor(s): Luong, Nguyen Cong [author.] | Wang, Ping [author.] | Han, Zhu [author.].
Material type: 
BookPublisher: Cambridge : Cambridge University Press, 2020Description: 1 online resource (x, 279 pages) : digital, PDF file(s).Content type: text Media type: computer Carrier type: online resourceISBN: 9781108691079 (ebook).Subject(s): Auctions -- Mathematical models | Auctions -- Computer programs | Auction theory | Wireless communication systemsAdditional physical formats: Print version: : No titleDDC classification: 004.601/5193 Online resources: Click here to access online Summary: Do you have the tools to address recent challenges and problems in modern computer networks? Discover a unified view of auction theoretic applications and develop auction models, solution concepts, and algorithms with this multidisciplinary review. Devise distributed, dynamic, and adaptive algorithms for ensuring robust network operation over time-varying and heterogeneous environments, and for optimizing decisions about services, resource allocation, and usage of all network entities. Topics including cloud networking models, MIMO, mmWave communications, 5G, data aggregation, task allocation, user association, interference management, wireless caching, mobile data offloading, and security. Introducing fundamental concepts from an engineering perspective and describing a wide range of state-of-the-art techniques, this is an excellent resource for graduate and senior undergraduate students, network and software engineers, economists, and researchers.
Title from publisher's bibliographic system (viewed on 15 May 2020).
Do you have the tools to address recent challenges and problems in modern computer networks? Discover a unified view of auction theoretic applications and develop auction models, solution concepts, and algorithms with this multidisciplinary review. Devise distributed, dynamic, and adaptive algorithms for ensuring robust network operation over time-varying and heterogeneous environments, and for optimizing decisions about services, resource allocation, and usage of all network entities. Topics including cloud networking models, MIMO, mmWave communications, 5G, data aggregation, task allocation, user association, interference management, wireless caching, mobile data offloading, and security. Introducing fundamental concepts from an engineering perspective and describing a wide range of state-of-the-art techniques, this is an excellent resource for graduate and senior undergraduate students, network and software engineers, economists, and researchers.
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