Securing Radio Resources Allocation With Deep Reinforcement Learning for IoE Services in Next-Generation Wireless Networks
Copyright policy )Securing Radio Resources Allocation With Deep Reinforcement Learning for IoE Services in Next-Generation Wireless Networks
- Waseda University Japan
- King Abdulaziz University Saudi Arabia
- Northeastern University China (People's Republic of)
- King Abdulaziz University Saudi Arabia
- Manchester Metropolitan University United Kingdom
Mathematics, Interdisciplinary Applications, Technology, next-generation wireless networks, COGNITIVE RADIO, Wireless communication, Engineering, Multidisciplinary, Engineering, Internet of Everything, radio resources allocation, Reinforcement learning, Next generation networking, Prediction algorithms, Deep reinforcement learning, SPECTRUM, Science & Technology, Sensors, Resource management, firefly algorithm, Energy consumption, Physical Sciences, Mathematics, SOFT FUSION
Mathematics, Interdisciplinary Applications, Technology, next-generation wireless networks, COGNITIVE RADIO, Wireless communication, Engineering, Multidisciplinary, Engineering, Internet of Everything, radio resources allocation, Reinforcement learning, Next generation networking, Prediction algorithms, Deep reinforcement learning, SPECTRUM, Science & Technology, Sensors, Resource management, firefly algorithm, Energy consumption, Physical Sciences, Mathematics, SOFT FUSION
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