Secrecy preserving in stochastic resource orchestration for multi-tenancy network slicing

Keyphrases

• Mobile Users 100%
• Network Slicing 100%
• Stochastic Resources 100%
• Resource Orchestration 100%
• Multi-tenancy 100%
• Service Provider 75%
• Radio Access Network 75%
• Stochastic Games 50%
• Learning-based 25%
• Number of Channels 25%
• Data Transmission 25%
• Eavesdropper 25%
• Payoff 25%
• Control Policy 25%
• Average Utility 25%
• Markov Decision Process 25%
• Nonoperative 25%
• Network Infrastructure 25%
• Physical Network 25%
• Multiple Providers 25%
• Cooperative Services 25%
• Nash Equilibrium Solution 25%
• TensorFlow 25%
• Multiple Tenants 25%
• Network Slice 25%
• Deep Reinforcement Learning (deep RL) 25%

INIS

• resources 100%
• stochastic processes 100%
• performance 66%
• solutions 33%
• decision making 33%
• control 33%
• interactions 33%
• policy 33%
• approximations 33%
• calculation methods 33%
• learning 33%
• equilibrium 33%
• yields 33%
• cooperatives 33%
• data transmission 33%
• markov process 33%
• utilities 33%
• bids 33%

Computer Science

• Network Slicing 100%
• Resource Orchestration 100%
• Service Provider 100%
• Radio Access Network 75%
• Markov Decision Process 25%
• Average Utility 25%
• Physical Network 25%
• Network Infrastructure 25%
• Multiple Service 25%
• Deep Reinforcement Learning 25%
• Decision-Making 25%
• Nash Equilibrium 25%