Computer Science
Deep Reinforcement Learning
100%
Quality of Service
96%
Reinforcement Learning
69%
Radio Access Network
68%
Network Slicing
68%
Resource Allocation
60%
5G Mobile Communication
60%
Virtual Networks
39%
Resource Utilisation
37%
Energy Consumption
37%
Network Operator
36%
Service Provider
34%
Physical Resource
31%
Markov Decision Process
30%
Artificial Intelligence
30%
Resource Allocation Scheme
30%
Deep Q-Network
30%
multi-agent
30%
Multi-Agent Deep Reinforcement Learning
30%
Wireless Network
29%
Optimization Problem
23%
Hashing
22%
Resource Provisioning
22%
Traffic Demand
22%
Lower Energy Consumption
22%
Convolutional Neural Network
21%
Blockchain
20%
stackelberg game
19%
Dynamic Pricing
18%
Decision-Making
18%
Learning Approach
18%
Computational Complexity
17%
Infrastructure Provider
17%
Convex Optimization
16%
Deep Learning Method
15%
Vehicular Network
15%
Generation Cellular Network
15%
Centralized Controller
15%
Consensus Mechanism
15%
Collaborative Computing
15%
Digital Twin
15%
Consortium Blockchain
15%
Unmanned Aerial Vehicle
15%
Learning Framework
15%
Energy Efficiency
15%
Model-Based Reinforcement Learning
15%
Energy Efficient
15%
Meta-Learning
15%
Infrastructure Item
15%
Channel State Information
15%
Engineering
Reinforcement Learning
60%
Quality of Service
56%
Radio Access Network
41%
Service Requirement
15%
Nodes
15%
Radio Link
15%
Power Control
15%
Unmanned Aerial Vehicle
15%
Convolutional Neural Network
15%
Base Band
12%
Markov Decision Process
11%
Mobile User
11%
Q-Learning
11%
Cellular Network
10%
Power Bandwidth
7%
Core Network
7%
Reinforcement Learning Technique
7%
Artificial Intelligence
7%
Induced Distribution
5%
