research
∙
11/15/2019
Resource Awareness in Unmanned Aerial Vehicle-Assisted Mobile-Edge Computing Systems
This paper investigates an unmanned aerial vehicle (UAV)-assisted mobile...
share
research
∙
08/06/2019
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...
research
∙
07/24/2019
Secrecy Preserving in Stochastic Resource Orchestration for Multi-Tenancy Network Slicing
Network slicing is a proposing technology to support diverse services fr...
research
∙
06/03/2019
Decentralized Deep Reinforcement Learning for Delay-Power Tradeoff in Vehicular Communications
This paper targets at the problem of radio resource management for expec...
research
∙
05/13/2019
Wireless Edge Computing with Latency and Reliability Guarantees
Edge computing is an emerging concept based on distributing computing, s...
research
∙
05/10/2019
GAN-based Deep Distributional Reinforcement Learning for Resource Management in Network Slicing
Network slicing is a key technology in 5G communications system, which a...
research
∙
10/24/2018
Deep Learning with Long Short-Term Memory for Time Series Prediction
Time series prediction can be generalized as a process that extracts use...
research
∙
09/02/2018
Learning to Entangle Radio Resources in Vehicular Communications: An Oblivious Game-Theoretic Perspective
This paper studies the problem of non-cooperative radio resource schedul...
research
∙
07/17/2018
Multi-Tenant Cross-Slice Resource Orchestration: A Deep Reinforcement Learning Approach
In a software-defined radio access network (RAN), a major challenge lies...
research
∙
07/17/2018
Multipath Transmission Scheduling in Millimeter Wave Cloud Radio Access Networks
Millimeter wave (mmWave) communications provide great potential for next...
research
∙
05/17/2018
Deep Reinforcement Learning for Network Slicing
Network slicing means an emerging business to operators and allows them ...
research
∙
05/16/2018
Optimized Computation Offloading Performance in Virtual Edge Computing Systems via Deep Reinforcement Learning
To improve the quality of computation experience for mobile devices, mob...
research
∙
03/25/2018
Performance Optimization in Mobile-Edge Computing via Deep Reinforcement Learning
To improve the quality of computation experience for mobile devices, mob...
research
∙
11/08/2017
Traffic Prediction Based on Random Connectivity in Deep Learning with Long Short-Term Memory
Traffic prediction plays an important role in evaluating the performance...
research
∙
11/28/2012