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Today's wireless communications and networking practices are tightly coupled with economic considerations, to the extent that it is almost impossible to make a sound technology choice without understanding the corresponding economic implications. This book aims at providing a foundational introduction on how microeconomics, and pricing theory in particular, can help us to understand and build better wireless networks. The book can be used as lecture notes for a course in the field of network economics, or a reference book for wireless engineers and applied economists to understand how pricing…mehr

Produktbeschreibung
Today's wireless communications and networking practices are tightly coupled with economic considerations, to the extent that it is almost impossible to make a sound technology choice without understanding the corresponding economic implications. This book aims at providing a foundational introduction on how microeconomics, and pricing theory in particular, can help us to understand and build better wireless networks. The book can be used as lecture notes for a course in the field of network economics, or a reference book for wireless engineers and applied economists to understand how pricing mechanisms influence the fast growing modern wireless industry. This book first covers the basics of wireless communication technologies and microeconomics, before going in-depth about several pricing models and their wireless applications. The pricing models include social optimal pricing, monopoly pricing, price differentiation, oligopoly pricing, and network externalities, supported by introductory discussions of convex optimization and game theory. The wireless applications include wireless video streaming, service provider competitions, cellular usage-based pricing, network partial price differentiation, wireless spectrum leasing, distributed power control, and cellular technology upgrade. More information related to the book (including references, slides, and videos) can be found at ncel.ie.cuhk.edu.hk/content/wireless-network-pricing.

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Autorenporträt
Jianwei Huang is an Associate Professor in the Department of Information Engineering at the Chinese University of Hong Kong. He received a B.E. in Information Engineering from Southeast University (Nanjing, Jiangsu, China) in 2000, an M.S. and Ph.D. in Electrical and Computer Engineering from Northwestern University in 2003 and 2005, respectively. He worked as a Postdoc Research Associate in the Department of Electrical Engineering at Princeton University during 2005-2007.He was a visiting scholar at Ecole Polytechnique Federale De Lausanne (EPFL) in June 2009 and at University of California-Berkeley in August 2010. He is a Guest Professor of Nanjing University of Posts and Telecommunications. Dr. Huang leads the Network Communications and Economics Lab, with the main research focus on nonlinear optimization and game theoretical analysis of communication networks, especially on network economics, cognitive radio networks, and smart grid. He is the recipient of the IEEE WiOpt Best Paper Award in 2013, the IEEE SmartGirdComm Best Paper Award in 2012, the IEEE Marconi Prize Paper Award in Wireless Communications in 2011, the International Conference on Wireless Internet Best Paper Award 2011, the IEEE GLOBECOM Best Paper Award in 2010, the IEEE ComSoc Asia-Pacific Outstanding Young Researcher Award in 2009, and Asia-Pacific Conference on Communications Best Paper Award in 2009. Lin Gao is a Postdoc Research Associate in the Department of Information Engineering at the Chinese University of Hong Kong. He received the B.S. degree in Information Engineering from Nanjing University of Posts and Telecommunications in 2002, and the M.S. and Ph.D. degrees in Electronic Engineering from Shanghai Jiao Tong University in 2006 and 2010, respectively. His research interests are in the area of wireless communications and communication theory,in particular,MIMO and OFDM techniques, cooperative communications, multi-hop relay networks, cognitive radio networks, wireless resource allocation, network economics, and game theoretical models.