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Traditional network optimization focuses on a single control objective in a network populated by obedient users and limited dispersion of information....Lees meer
Information usually has the highest value when it is fresh. For example, real-time knowledge about the location, orientation, and speed of motor vehic...Lees meer
This text presents a modern theory of analysis, control, and optimization for dynamic networks. Mathematical techniques of Lyapunov drift and Lyapunov...Lees meer
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This book provides a comprehensive overview of reinforcement learning for ridesharing applications. The authors first lay out the fundamentals of the ...Lees meer
This book discusses state-of-the-art stochastic optimization algorithms for distributed machine learning and analyzes their convergence speed. The boo...Lees meer
This book presents Internet transport economics as a new approach to understanding the packet-switching paradigm of Internet infrastructure as a globa...Lees meer
This book provides an accessible yet rigorous first reference for readers interested in learning how to model and analyze cellular network performance...Lees meer
This book results from many years of teaching an upper division course on communication networks in the EECS department at the University of Californi...Lees meer
Networks naturally appear in many high-impact domains, ranging from social network analysis to disease dissemination studies to infrastructure system ...Lees meer
This book introduces the Learning-Augmented Network Optimization (LANO) paradigm, which interconnects network optimization with the emerging AI theory...Lees meer
This book provides a comprehensive overview of reinforcement learning for ridesharing applications. The authors first lay out the fundamentals of the ...Lees meer
In this book, we consider the problem of achieving the maximum throughput and utility in a class of networks with resource-sharing constraints. This i...Lees meer
Resource Allocation lies at the heart of network control. In the early days of the Internet the scarcest resource was bandwidth, but as the network ha...Lees meer
This book discusses an efficient random linear network coding scheme, called BATched Sparse code, or BATS code, which is proposed for communication th...Lees meer
This book provides a quick reference and insights into modeling and optimization of software-defined networks (SDNs) . It covers various algorithms an...Lees meer
This book provides a comprehensive treatment of the Poisson line Cox process (PLCP) and its applications to vehicular networks. The PLCP is constructe...Lees meer
The last decade has seen an unprecedented growth in the demand for wireless services. These services are fueled by applications that often require not...Lees meer
This book introduces the Learning-Augmented Network Optimization (LANO) paradigm, which interconnects network optimization with the emerging AI theory...Lees meer
This book provides a comprehensive introduction to continual and reinforcement learning for edge AI, which investigates how to build an AI agent that ...Lees meer
The concept of physical-layer network coding (PNC) was proposed in 2006 for application in wireless networks. Since then it has developed into a subfi...Lees meer