Distributed Learning for Optimal Spectrum Access in Dense Device-To-Device Ad-Hoc Networks

Keyphrases

• Time-frequency 100%
• Ad Hoc Networks 100%
• Distributed Learning 100%
• Spectrum Access 100%
• Device-to-device 100%
• Cellular Networks 50%
• Distributed Auction Algorithm 50%
• State Dynamics 50%
• Numerical Simulation 50%
• Protocol Efficiency 50%
• Spectral Efficiency 50%
• Optimal Allocation 50%
• Fully Distributed 50%
• Learning Scheme 50%
• Channel State 50%
• Multi-agent multi-armed Bandit 50%
• Carrier Sensing 50%
• Regret 50%
• 5G Networks 50%
• Allocation Mechanism 50%
• Regret Bounds 50%
• Time Allocation 50%
• Reference Algorithms 50%
• Network Infrastructure 50%
• Distributed Mechanism 50%
• Network Device 50%
• Logarithmic Regret 50%
• Frequency Allocation 50%
• D2D Link 50%
• Strategic Learning 50%
• D2D Networks 50%
• High Efficiency 50%
• Device-to-device (D2D) Communication 50%
• Dynamic Wireless Environment 50%

Computer Science

• Device-To-Device 100%
• ad-hoc network 100%
• Distributed Learning 100%
• Spectrum Access 100%
• multi agent 50%
• Proposed Mechanism 50%
• Cellular Network 50%
• 5G 50%
• Network Infrastructure 50%
• Optimal Allocation 50%
• Numerical Simulation 50%
• Learning Scheme 50%
• Spectrum Efficiency 50%