Auction Theory for Computer Networks

Dusit Niyato (Nanyang Technological University, Singapore), Nguyen Cong Luong, Ping Wang (York University, Toronto) , Zhu Han (University of Houston)

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English

Cambridge University Press
11 June 2020

Microeconomics; Electronics & communications engineering; WAP networking & applications

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.

By: Dusit Niyato (Nanyang Technological University Singapore), Nguyen Cong Luong, Ping Wang (York University, Toronto), Zhu Han (University of Houston)
Imprint: Cambridge University Press
Country of Publication: United Kingdom
Dimensions: Height: 253mm, Width: 180mm, Spine: 20mm
Weight: 660g
ISBN: 9781108480765
ISBN 10: 1108480764
Pages: 288
Publication Date: 11 June 2020
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

1. Introduction; 2. Overview of modern computer networks; 3. Mechanism design and auction theory in computer networks; 4. Open-cry auction; 5. First-price sealed-bid auction; 6. Second-price sealed-bid auction; 7. Combinatorial auction; 8. Double-sided auction; 9. Other auctions; 10. Optimal auction using machine learning.

Dusit Niyato is a professor in the School of Computer Science and Engineering at Nanyang Technological University, Singapore and a Fellow of the IEEE. Nguyen Cong Luong is a senior lecturer at Phenikaa University, Vietnam. He is also a researcher at the Phenikaa Research and Technology Institute (PRATI). Ping Wang is an Associate Professor at the Department of Electrical Engineering and Computer Science, York University. Zhu Han is a John and Rebecca Moores Professor in the Department of Electrical and Computer Engineering as well as the Computer Science Department at the University of Houston, and a Fellows of the IEEE and AAAS.