Xu Chen

Dusit Niyato

Victor C. M. Leung

Xiaofei Wang

Yiwen Han

Xueqiang Yan

As an important enabler for changing people’s lives, advances in artificial intelligence (AI)-based applications and services are on the rise, despite being hindered by efficiency and latency issues. By focusing on deep learning as the most representative technique of AI, this book provides a comprehensive overview of how AI services are being applied to the network edge near the data sources, and demonstrates how AI and edge computing can be mutually beneficial. To do so, it introduces and discusses: 1) edge intelligence and intelligent edge; and 2) their implementation methods and enabling technologies, namely AI training and inference in the customized edge computing framework. Gathering essential information previously scattered across the communication, networking, and AI areas, the book can help readers to understand the connections between key enabling technologies, e.g. a) AI applications in edge; b) AI inference in edge; c) AI training for edge; d) edge computing for AI; and e) using AI to optimize edge. After identifying these five aspects, which are essential for the fusion of edge computing and AI, it discusses current challenges and outlines future trends in achieving more pervasive and fine-grained intelligence with the aid of edge computing.

Convergence of Edge Computing and Artificial Intelligence

Edge AI

Ngoc Thanh Nguyen

Bogdan Trawiński

Suphamit Chittayasothorn

This book constitutes the refereed proceedings of the 13th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2021, held in Phuket, Thailand, in April 2021.* The 67 full papers accepted for publication in these proceedings were carefully reviewed and selected from 291 submissions. The papers of the first volume are organized in the following topical sections: data mining methods and applications; machine learning methods; decision support and control systems; natural language processing; cybersecurity intelligent methods; computer vision techniques; computational imaging and vision; advanced data mining techniques and applications; intelligent and contextual systems; commonsense knowledge, reasoning and programming in artificial intelligence; data modelling and processing for industry 4.0; innovations in intelligent systems. *The conference was held virtually.

13th Asian Conference, ACIIDS 2021, Phuket, Thailand, April 7–10, 2021, Proceedings

Intelligent Information and Database Systems

Zhu Han

Tamer Başar

Walid Saad

A unified treatment of the latest game theoretic approaches for designing, modeling, and optimizing emerging wireless communication networks. Covering theory, analytical tools, and applications, it is ideal for researchers and graduate students in academia and industry designing efficient, scalable and robust protocols for future wireless networks.

Modeling, Analysis, and Design

Game Theory for Next Generation Wireless and Communication Networks

Dinh Thai Hoang

Dong In Kim

Nguyen Van Huynh

Shimin Gong

Understand fundamental principles of ambient backscatter technology and their diverse potential applications with this authoritative review.

Ambient Backscatter Communication Networks

Ekram Hossain

Long Bao Le

Providing an extensive overview of the radio resource management problem in femtocell networks, this invaluable book considers both code division multiple access femtocells and orthogonal frequency-division multiple access femtocells. In addition to incorporating current research on this topic, the book also covers technical challenges in femtocell deployment, provides readers with a variety of approaches to resource allocation and a comparison of their effectiveness, explains how to model various networks using Stochastic geometry and shot noise theory, and much more.

Radio Resource Management in Multi-Tier Cellular Wireless Networks

Ping Wang

Nguyen Cong Luong

Acquire the tools to address emerging challenges in modern computer networks with this multidisciplinary review of the fundamentals.

Auction Theory for Computer Networks

Dusit Niyato

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