Optimized Computation Offloading Performance in Virtual Edge Computing Systems Via Deep Reinforcement Learning

IEEE Internet of Things Journal(2019)

引用 597|浏览130
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摘要
To improve the quality of computation experience for mobile devices, mobile-edge computing (MEC) is a promising paradigm by providing computing capabilities in close proximity within a sliced radio access network (RAN), which supports both traditional communication and MEC services. Nevertheless, the design of computation offloading policies for a virtual MEC system remains challenging. Specifical...
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关键词
Reinforcement learning,Mobile computing,Wireless communication,Radio access networks,Markov processes,Network slicing
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