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

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PLIC

https://doi.org/10.1007/978-3-8349-9289-5d. Then, a centralized routing scheme with mobility prediction (CRS-MP) for IoV assisted by a software-defined network (SDN) controller powered with artificial intelligence is introduced. Specifically, through advanced artificial neural network (ANN) technique, the SDN controller is able to perform

oracle

,Grundzüge des K?uferverhaltens,blem for minimizing the task delay and the ratio of dropped tasks. We propose a deep Q-learning-based algorithm that enables the mobile devices to make their task offloading decisions in a decentralized fashion with local information. This algorithm incorporates double deep Q-network (DQN) and dueli

流動才波動

,Grundzüge des K?uferverhaltens,n number of parts, each part is uploaded separately, and a MultiOpt algorithm is used to decide the upload initiation time of each part during runtime. The problem is studied for homogeneous Markovian wireless channels, and energy optimality is proved for the OnOpt algorithm based on continuous uplo

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Lasting

Utility-Based Dynamic Resource Allocation in IEEE 802.11ax Networks: A Genetic Algorithm Approachels should be allocated to which stations. Furthermore, we adopt a genetic algorithm to solve the derived optimization problem since the problem is known to be NP-hard. We map the proposed scheme, UDRA, onto a terminology of genetic algorithm. Extensive simulation results demonstrate that UDRA can g