Xianfu Chen

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Resource Awareness in Unmanned Aerial Vehicle-Assisted Mobile-Edge Computing Systems

This paper investigates an unmanned aerial vehicle (UAV)-assisted mobile...
11/15/2019 ∙ by Xianfu Chen, et al. ∙ 0 ∙ share

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Age of Information-Aware Radio Resource Management in Vehicular Networks: A Proactive Deep Reinforcement Learning Perspective

In this paper, we investigate the problem of age of information (AoI)-aw...
08/06/2019 ∙ by Xianfu Chen, et al. ∙ 4 ∙ share

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

Network slicing is a proposing technology to support diverse services fr...
07/24/2019 ∙ by Xianfu Chen, et al. ∙ 0 ∙ share

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Decentralized Deep Reinforcement Learning for Delay-Power Tradeoff in Vehicular Communications

This paper targets at the problem of radio resource management for expec...
06/03/2019 ∙ by Xianfu Chen, et al. ∙ 0 ∙ share

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Wireless Edge Computing with Latency and Reliability Guarantees

Edge computing is an emerging concept based on distributing computing, s...
05/13/2019 ∙ by Mohammed S. Elbamby, et al. ∙ 0 ∙ share

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GAN-based Deep Distributional Reinforcement Learning for Resource Management in Network Slicing

Network slicing is a key technology in 5G communications system, which a...
05/10/2019 ∙ by Yuxiu Hua, et al. ∙ 0 ∙ share

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Deep Learning with Long Short-Term Memory for Time Series Prediction

Time series prediction can be generalized as a process that extracts use...
10/24/2018 ∙ by Yuxiu Hua, et al. ∙ 0 ∙ share

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Learning to Entangle Radio Resources in Vehicular Communications: An Oblivious Game-Theoretic Perspective

This paper studies the problem of non-cooperative radio resource schedul...
09/02/2018 ∙ by Xianfu Chen, et al. ∙ 0 ∙ share

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Multi-Tenant Cross-Slice Resource Orchestration: A Deep Reinforcement Learning Approach

In a software-defined radio access network (RAN), a major challenge lies...
07/17/2018 ∙ by Xianfu Chen, et al. ∙ 0 ∙ share

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Multipath Transmission Scheduling in Millimeter Wave Cloud Radio Access Networks

Millimeter wave (mmWave) communications provide great potential for next...
07/17/2018 ∙ by Xianfu Chen, et al. ∙ 0 ∙ share

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Deep Reinforcement Learning for Network Slicing

Network slicing means an emerging business to operators and allows them ...
05/17/2018 ∙ by Zhifeng Zhao, et al. ∙ 0 ∙ share

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

To improve the quality of computation experience for mobile devices, mob...
05/16/2018 ∙ by Xianfu Chen, et al. ∙ 0 ∙ share

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Performance Optimization in Mobile-Edge Computing via Deep Reinforcement Learning

To improve the quality of computation experience for mobile devices, mob...
03/25/2018 ∙ by Xianfu Chen, et al. ∙ 0 ∙ share

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Traffic Prediction Based on Random Connectivity in Deep Learning with Long Short-Term Memory

Traffic prediction plays an important role in evaluating the performance...
11/08/2017 ∙ by Yuxiu Hua, et al. ∙ 0 ∙ share

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TACT: A Transfer Actor-Critic Learning Framework for Energy Saving in Cellular Radio Access Networks

Recent works have validated the possibility of improving energy efficien...
11/28/2012 ∙ by Rongpeng Li, et al. ∙ 0 ∙ share

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