Computation-Efficient Offloading and Power Control for MEC in IoT Networks by Meta-Reinforcement Learning

Keyphrases

• Computational Efficiency 100%
• Power Control 100%
• Mobile Edge Computing 100%
• Meta-reinforcement Learning 100%
• IoT Networks 100%
• User Equipment 50%
• Computation Offloading 50%
• Mobile Edge Computing Networks 50%
• Offloading Policy 50%
• Local Computation 50%
• Proposed Work 25%
• Optimization Problem 25%
• Power Consumption 25%
• NP-hardness 25%
• Learning-based 25%
• Computational Tasks 25%
• NP-hard 25%
• Reinforcement Learning Algorithm 25%
• Reasonable Time 25%
• Control Mechanism 25%
• Uplink Transmission 25%
• Computing Services 25%
• Network Edge 25%
• Power Management 25%
• Computing Servers 25%
• Reduced Latency 25%
• Deep Reinforcement Learning Algorithm 25%
• Resource Allocation Management 25%
• Proper Solution 25%
• Full Offloading 25%
• Partial Offloading Scheme 25%
• Binary Offloading 25%
• Resource-constrained Environment 25%
• Wireless Resource Allocation 25%

Computer Science

• Internet of Things 100%
• Efficient Computation 100%
• Reinforcement Learning 100%
• Multi-Access Edge Computing 100%
• Computational Task 33%
• Resource Allocation 16%
• Optimization Problem 16%
• Power Consumption 16%
• Power Management 16%
• Deep Reinforcement Learning 16%
• Control Mechanism 16%
• Uplink Transmission 16%
• Task Offloading 16%
• Constrained Environment 16%