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20152022
most citedOptimized Computation Offloading Performance in Virtual Edge Computing Systems via Deep Reinforcement Learning

27 citations · 86 across the 13 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

cs.NI2018

Understanding the Modeling of Computer Network Delays using Neural Networks

Albert Mestres, Eduard Alarcón, Yusheng Ji +1

Recent trends in networking are proposing the use of Machine Learning (ML) techniques for the control and operation of the network. In this context, ML can be used as a computer ne…

cs.NI2018

Multipath Transmission Scheduling in Millimeter Wave Cloud Radio Access Networks

Xianfu Chen, Pei Liu, Hang Liu +2

Millimeter wave (mmWave) communications provide great potential for next-generation cellular networks to meet the demands of fast-growing mobile data traffic with plentiful spectru…

cs.LG2018★ 27 cited

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

Xianfu Chen, Honggang Zhang, Celimuge Wu +3

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 with…

cs.NI2018★ 21 cited

Performance Optimization in Mobile-Edge Computing via Deep Reinforcement Learning

Xianfu Chen, Honggang Zhang, Celimuge Wu +3

To improve the quality of computation experience for mobile devices, mobile-edge computing (MEC) is emerging as a promising paradigm by providing computing capabilities within radi…

cs.NI2018★ 5 cited

SDN for End-Nodes: Scenario Analysis and Architectural Guidelines

Alberto Rodriguez-Natal, Vina Ermagan, Kien Nguyen +4

The advent of SDN has brought a plethora of new architectures and controller designs for many use-cases and scenarios. Existing SDN deployments focus on campus, datacenter and WAN…