Jianwei Huang – författare

THE ONE-STOP RESOURCE FOR ANY INDIVIDUAL OR ORGANIZATION CONSIDERING FOG COMPUTING Fog and Fogonomics is a comprehensive and technology-centric resource that highlights the system model, architectures, building blocks, and IEEE standards for fog computing platforms and solutions. The "fog" is defined as the multiple interconnected layers of computing along the continuum from cloud to endpoints such as user devices and things including racks or microcells in server closets, residential gateways, factory control systems, and more. The authors—noted experts on the topic—review business models and metrics that allow for the economic assessment of fog-based information communication technology (ICT) resources, especially mobile resources. The book contains a wide range of templates and formulas for calculating quality-of-service values. Comprehensive in scope, it covers topics including fog computing technologies and reference architecture, fog-related standards and markets, fog-enabled applications and services, fog economics (fogonomics), and strategy. This important resource: Offers a comprehensive text on fog computingDiscusses pricing, service level agreements, service delivery, and consumption of fog computingExamines how fog has the potential to change the information and communication technology industry in the next decadeDescribes how fog enables new business models, strategies, and competitive differentiation, as with ecosystems of connected and smart digital products and servicesIncludes case studies featuring integration of fog computing, communication, and networking systemsWritten for product and systems engineers and designers, as well as for faculty and students, Fog and Fogonomics is an essential book that explores the technological and economic issues associated with fog computing.

This SpringerBrief provides an overview of cognitive mobile virtual network operator’s (C-MVNO) decisions under investment flexibility, supply uncertainty, and market competition in cognitive radio networks. This is a new research area at the nexus of cognitive radio engineering and microeconomics. The authors focus on an operator’s joint spectrum investment and service pricing decisions. The readers will learn how to tradeoff the two flexible investment choices (dynamic spectrum leasing and spectrum sensing) under supply uncertainty. Furthermore, if there is more than one operator, we present analysis of the competition among operators in obtaining spectrum and pricing services to attract users.The brief is designed for professionals working with C-MVNOs. Succinct and practical, it will assist them in making optimal investments and pricing decisions. It will also be of interest to researchers.

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.

This brief presents research results on social cognitive radio networks, a transformational and innovative networking paradigm that promotes the nexus between social interactions and cognitive radio networks. Along with a review of the research literature, the text examines the key motivation and challenges of social cognitive radio network design. Three socially inspired distributed spectrum sharing mechanisms are introduced: adaptive channel recommendation mechanism, imitation-based social spectrum sharing mechanism, and evolutionarily stable spectrum access mechanism. The brief concludes with a discussion of future research directions which ascertains that exploiting social interactions for distributed spectrum sharing will advance the state-of-the-art of cognitive radio network design, spur a new line of thinking for future wireless networks, and enable novel wireless service and applications.

This book examines the interaction between the technical and economic issues in database-assisted dynamic spectrum networks. It explains various business models for different network settings, analyzing the user behaviors and system equilibrium under each model. With the explosive growth of mobile devices and bandwidth-hungry applications, radio spectrum is becoming increasingly congested and scarce. Database-assisted dynamic spectrum sharing is a promising technology for solving the problem of spectrum scarcity and congestion by allowing unlicensed mobile devices to dynamically access the under-utilized licensed spectrum resources through the assistance of a database. Database-assisted spectrum sharing network architecture has received wide and enthusiastic support from spectrum regulators, standards bodies, and industrial organizations.This book serves as a resource for researchers in white space communications and networking, for regulators in the wireless industry, and for graduate students and senior undergraduate students taking a course on network economics.

This SpringerBrief offers two concrete design examples for traffic offloading. The first is an optimal resource allocation for small-cell based traffic offloading that aims at minimizing mobile users’ data cost. The second is an optimal resource allocation for device-to-device assisted traffic offloading that also minimizes the total energy consumption and cellular link usage (while providing an overview of the challenging issues). Both examples illustrate the importance of proper resource allocation to the success of traffic offloading, show the consequent performance advantages of executing optimal resource allocation, and present the methodologies to achieve the corresponding optimal offloading solution for traffic offloading in heterogeneous cellular networks. The authors also include an overview of heterogeneous cellular networks and explain different traffic offloading paradigms ranging from uplink traffic offloading through small cells to downlink traffic offloading via mobile device-to-device cooperation.This brief is an excellent resource for postgraduate students studying advanced-level topics in wireless communications and networking.  Researchers, engineers and professionals working in related fields will also find this brief a valuable resource tool.

This book examines the interaction between the technical and economic issues in database-assisted dynamic spectrum networks. It explains various business models for different network settings, analyzing the user behaviors and system equilibrium under each model. With the explosive growth of mobile devices and bandwidth-hungry applications, radio spectrum is becoming increasingly congested and scarce. Database-assisted dynamic spectrum sharing is a promising technology for solving the problem of spectrum scarcity and congestion by allowing unlicensed mobile devices to dynamically access the under-utilized licensed spectrum resources through the assistance of a database. Database-assisted spectrum sharing network architecture has received wide and enthusiastic support from spectrum regulators, standards bodies, and industrial organizations.This book serves as a resource for researchers in white space communications and networking, for regulators in the wireless industry, and for graduate students and senior undergraduate students taking a course on network economics.