Название: Intelligent Mobile Edge Computing and Sensing
Автор: Wanming Hao , Fuhui Zhou , Zihan Gao , Nana Li
Издательство: Springer
Серия: Wireless Networks
Год: 2025
Страниц: 250
Язык: английский
Формат: pdf (true), epub
Размер: 31.4 MB

The field of edge computing is advancing quickly, with new algorithms, architectures, and use cases emerging regularly. Intelligent mobile edge computing includes various domains—such as IoT, AI, and telecommunications—making it essential to provide a holistic view that bridges these areas for researchers and practitioners. There is a growing need for practical insights and case studies that illustrate how mobile edge computing can be effectively implemented in industries like healthcare, smart cities, and manufacturing. This book aims to tackle real-world challenges, offering strategies for deployment, network structure, resource optimization, beamforming, and so on.

This book explores the potential of mobile edge computing in wireless intelligent and sensing environments. This comprehensive guide delves into cutting-edge technologies that enable computing resource optimization and decision-making at the edge or cloud, reducing latency and bandwidth consumption. It provides a comprehensive and accessible resource that addresses the rapidly mobile edge computing related technologies. As the demand for real-time data processing and low-latency applications grows for future 6G wireless communications, this book can help readers to understand the implications, challenges, and opportunities presented by these innovations.

Integrates theoretical concepts and practical applications for mobile edge computing
Addresses the challenges and resource optimization in mobile edge computing
Offers the solution for the cooperative mobile edge computing

The structure of this book:
Chapter 1 mainly explains the relevant background and introduction of intelligent MEC and sensing, and describes the overall framework structure of the book.
Chapter 2 introduces the relevant theoretical basis of intelligent MEC and sensing, and presents the relevant concepts of MEC, integrated MEC and sensing, and reconfigurable intelligent surface (RIS).
Chapter 3 conducts research on resource optimization of RIS-assisted MEC system. First, an RIS-assisted cell-free MEC system is constructed to minimize the maximum WD delay through joint optimization; second, a multi-RIS-assisted wireless powered (WP)-MEC system based on an actual reflection model is considered, and multiple variables are jointly optimized to maximize the total computing rate under energy consumption constraints, and a solution is given and the effect is verified; third, for broadband multi-carrier frequency selective channels, based on the amplitude-phase shift-frequency three-dimensional reflection model, the resource optimization problem of the RIS-assisted broadband MEC system is considered, an algorithm is proposed, and its performance gain and related necessity are verified by simulation.
Chapter 4 conducts research on computing offloading based on user and task dependencies in cloud-edge collaborative systems. First, for the single-user computing offloading problem, a Q-Learning based offloading (QLOF) algorithm is proposed, and the application energy-time cost (AETC) minimization problem is constructed by comprehensively considering the delay and energy consumption; second, for the multi-user multi-edge cloud computing offloading problem based on bilateral matching, Gale-Shapley based minimum offloading algorithm (GS-MOA) and Gale-Shapley based sequential offloading algorithm (GS-SOA) algorithms are proposed, which comprehensively consider the delay and energy consumption, and use the dichotomy method, polynomial analysis method and bilateral matching to solve the coupling problem; third, for the multi-user multi-edge cloud computing offloading problem based on task dependency scheduling, maximum local searching offloading (MLSO), sequential searching offloading (SSO) and genetic-based task scheduling (GTS) algorithms are proposed. The system energy-time cost (SETC) minimization problem is constructed by comprehensively considering the delay and energy consumption, subtask dependency and the coupling of the combined offloading decision and edge computing resources.
Chapter 5 conducts research on integrated communication, computing and sensing (ICCS) resource optimization. First, for ICCS networks with multi-functional BS that perform multiple functions, multiple variables are jointly optimized to maximize the weighted sum rate; second, the RIS-assisted ICCS system is studied, caching strategies are designed, and algorithms are developed to solve optimization problems; third, the system resource allocation design of RIS-assisted ICCS with imperfect channels in actual situations is considered, multiple variables are jointly optimized to maximize the sum rate, and a solution is given and the effect is verified.
Chapter 6 is the summary and outlook of this book. It systematically summarizes the research work of this book and looks forward to future research work.