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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...
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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...
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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...
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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...
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Wireless Edge Computing with Latency and Reliability Guarantees
Edge computing is an emerging concept based on distributing computing, s...
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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...
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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...
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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...
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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...
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Multipath Transmission Scheduling in Millimeter Wave Cloud Radio Access Networks
Millimeter wave (mmWave) communications provide great potential for next...
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Deep Reinforcement Learning for Network Slicing
Network slicing means an emerging business to operators and allows them ...
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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...
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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...
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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...
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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...
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