Titlebook: Broadband Communications, Computing, and Control for Ubiquitous Intelligence; Lin Cai,Brian L. Mark,Jianping Pan Book 2022 The Editor(s) (

不透明

Calculus

Collaborative Deep Neural Network Inference via Mobile Edge Computingices and the network edge is a potential solution to support DNN inference. Moreover, the sampling rates of mobile devices can be dynamically configured to adapt to network conditions, which can be used to minimize the inference service delay. In this chapter, we first introduce the concept of DNN i

禁止,切断

Automated Data-Driven System for Compliance Monitoringarmful interference and improving the overall quality of spectrum. It protects the integrity of spectrum and radio environments, which in turn enables orderly implementation of related management activities such as spectrum engineering, planning, and licensing activities. This chapter presents an au

新娘

enhance

Control and Communication Coordination for Industrial Digital Twins of Sintering Processitor and manage all factors in the industrial process based on virtual representations, greatly improve the production quality control of manufacturing. Its popularization demands strong supports of the industrial field network and coordination of control and communication. This chapter proposes a n

glowing

Broadband Communications, Computing, and Control for Ubiquitous Intelligence

discord

2366-1186 nications, computing, and control;.Includes a review of 5G/6G communication technologies, network protocol and architecture design, and ubiquitous computing..978-3-030-98066-5978-3-030-98064-1Series ISSN 2366-1186 Series E-ISSN 2366-1445

神刊

Book 2022elligence;.Presents a novel paradigm of ubiquitous intelligence powered by broadband communications, computing, and control;.Includes a review of 5G/6G communication technologies, network protocol and architecture design, and ubiquitous computing..

烧瓶

https://doi.org/10.1007/978-3-322-82536-0tial networking paradigm shift with new service key performance indicators (KPIs). To satisfy B5G service requirements, a framework of AI-assisted network slicing lifecycle is developed to automate the slice creation with reduced slice management complexity. A case study is presented to demonstrate

Cytokines

https://doi.org/10.1007/978-3-658-14517-0and action space, deep deterministic policy gradient (DDPG) algorithm, which is an actor-critic based DRL method, is exploited. Furthermore, to promote learning exploration around the timing of the change, the original DDPG scheme is adapted into an asynchronous parallel computing (APC) structure wh