Deep reinforcement learning for mobile 5G and beyond: Fundamentals, applications, and challenges

Z Xiong, Y Zhang, D Niyato, R Deng… - IEEE Vehicular …, 2019 - ieeexplore.ieee.org
Future-generation wireless networks (5G and beyond) must accommodate surging growth in
mobile data traffic and support an increasingly high density of mobile users involving a …
被引用次数：271 相关文章

Deep reinforcement learning for mobile 5G and beyond: Fundamentals, applications, and challenges

Z Xiong, Y Zhang, D Niyato, R Deng… - IEEE Vehicular …, 2019 - scholar.nycu.edu.tw
Future-generation wireless networks (5G and beyond) must accommodate surging growth in
mobile data traffic and support an increasingly high density of mobile users involving a …

Deep reinforcement learning for mobile 5g and beyond: fundamentals, applications, and challenges

Z Xiong, Y Zhang, D Niyato, R Deng, P Wang… - IEEE Vehicular …, 2019 - dr.ntu.edu.sg
Future-generation wireless networks (5G and beyond) must accommodate surging growth in
mobile data traffic and support an increasingly high density of mobile users involving a …

[引用][C] Deep Reinforcement Learning for Mobile 5G and Beyond: Fundamentals, Applications, and Challenges

Z Xiong, Y Zhang, D Niyato, R Deng, P Wang… - IEEE Vehicular …, 2019 - cir.nii.ac.jp
Deep Reinforcement Learning for Mobile 5G and Beyond: Fundamentals, Applications, and
Challenges | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 …
[PDF] google.com

[PDF][PDF] Deep reinforcement learning for mobile 5G and beyond: Fundamentals, applications, and challenges

Z Xiong, Y Zhang, D Niyato, R Deng… - IEEE Vehicular …, 2019 - drive.google.com
Future-generation wireless networks (5G and beyond) must accommodate surging growth in
mobile data traffic and support an increasingly high density of mobile users involving a …