Computer Science
5G Mobile Communication
26%
Approximation (Algorithm)
23%
Channel State Information
20%
Cloud Computing
24%
Cloud Environment
17%
Computing Resource
27%
Control Plane
28%
Data Center
54%
Deep Learning Method
21%
Deep Reinforcement Learning
57%
Distributed Architecture
28%
Energy Consumption
34%
Energy Efficiency
49%
Energy Efficient
29%
Experimental Result
43%
Federated machine learning
25%
High Reliability
17%
Information and Communication Technology
19%
Internet-Of-Things
100%
Learning Approach
23%
Learning Framework
31%
Learning System
23%
Machine Learning
23%
multi agent
19%
Multi-Access Edge Computing
18%
Multi-Agent Deep Reinforcement Learning
24%
Multi-Agent Reinforcement Learning
22%
Network Domain
27%
Network Function
24%
Network Function Virtualization
23%
Network Slicing
22%
Network Traffic
20%
Neural Network
16%
Optimization Problem
50%
Packet Scheduling
18%
Quality of Service
86%
Radio Access Network
71%
Reflecting Surface
32%
Reinforcement Learning
26%
Resource Allocation
75%
Smart Grid
19%
Software Architecture
18%
Software-Defined Networking
17%
Total Cost of Ownership
18%
Traffic Prediction
23%
Transfer Learning
32%
Unmanned Aerial Vehicle
29%
Virtual Network
25%
Wide Area Network
17%
Wireless Network
17%
Keyphrases
Closed-loop
26%
Control Card
19%
Deep Q-learning
18%
Deep Reinforcement Learning (deep RL)
51%
Difference of Convex Functions
19%
Distributed Architecture
25%
Edge Cloud
31%
Energy Consumption
27%
Energy Efficiency
34%
Federated Learning
21%
Flexible Ethernet
18%
Fronthaul
19%
Information Communication Technology
32%
Intelligent Reflecting Surface
41%
Interception
18%
Internet of Things
19%
Internet of Things Services
28%
IP multimedia Subsystem
18%
Joint Optimization
23%
Learning-based
30%
Line Card
21%
Microservices
20%
Multi-agent Deep Reinforcement Learning (MADRL)
22%
Multi-agent Reinforcement Learning
20%
Multi-domain Networks
27%
Network Applications
20%
Network Function Virtualization
24%
Network Slicing
19%
Next Generation Router
38%
Numerical Results
37%
Open Radio Access Network (O-RAN)
93%
Optimization Approach
22%
Optimization Problem
30%
Quality of Service
43%
Reinforcement Learning Approach
19%
Renewable Energy
24%
Resource Allocation
44%
Resource Management
22%
Router
37%
Service Chain
21%
Service Provisioning
21%
Smart Home
18%
Smart Home System
19%
Software-defined Networking
20%
Task Offloading
18%
Traffic Prediction
21%
Transfer Learning
23%
UAV
35%
Ultra-reliable Low-latency Communication (URLLC)
18%
Virtualized
24%
