Task offloading mechanism based on federated reinforcement learning in mobile edge computing

Task offloading mechanism based on federated reinforcement learning in mobile edge computing

With the arrival of 5G, latency-sensitive applications are becoming increasingly diverse. Mobile Edge Computing (MEC) technology has the characteristics of high bandwidth, low latency and low energy consumption, and has attracted much attention among researchers. To improve the Quality of Service (Q...

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Bibliografische gegevens
Hoofdauteurs: Jie Li, Zhiping Yang, Xingwei Wang, Yichao Xia, Shijian Ni
Formaat: Artikel
Taal:English
Gepubliceerd in: KeAi Communications Co., Ltd. 2023-04-01
Reeks:Digital Communications and Networks
Onderwerpen:
Mobile edge computing
Task offloading
QoS
Deep reinforcement learning
Federated learning
Online toegang:http://www.sciencedirect.com/science/article/pii/S2352864822000554

Internet

http://www.sciencedirect.com/science/article/pii/S2352864822000554

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