Optimized Computation Offloading Performance in Virtual Edge Computing Systems Via Deep Reinforcement Learning
IEEE Internet of Things Journal(2019)
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...
更多查看译文
关键词
Reinforcement learning,Mobile computing,Wireless communication,Radio access networks,Markov processes,Network slicing
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要