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20182026
most citedPerformance Optimization in Mobile-Edge Computing via Deep Reinforcement Learning

21 citations · 41 across the 14 of their papers we have counts for

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5 papers · 1 filter

cs.NI2025

Optimizing NetGPT via Routing-Based Synergy and Reinforcement Learning

Yuxuan Chen, Rongpeng Li, Xianfu Chen +4

Large language model (LLM) agents at the network edge offer low-latency execution for routine queries. In contrast, complex requests often require the superior capability of cloud…

cs.NI2021

Time-Critical Tasks Implementation in MEC based Multi-Robot Cooperation Systems

Rui Yin, Yineng Shen, Huawei Zhu +2

Mobile edge computing (MEC) deployment in a multi-robot cooperation (MRC) system is an effective way to accomplish the tasks in terms of energy consumption and implementation laten…

cs.NI2019

Secrecy Preserving in Stochastic Resource Orchestration for Multi-Tenancy Network Slicing

Xianfu Chen, Zhifeng Zhao, Celimuge Wu +3

Network slicing is a proposing technology to support diverse services from mobile users (MUs) over a common physical network infrastructure. In this paper, we consider radio access…

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.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…