New Research on Deep Reinforcement Learning part2(Machine Learning)
Deep Reinforcement Learning Based Power Allocation for Minimizing AoI and Energy Consumption in MIMO-NOMA IoT Systems(arXiv) Author : Hongbiao Zhu, Qiong Wu, Qiang Fan, Pingyi Fan, Jiangzhou Wang, Zhengquan Li Abstract : Multi-input multi-out and non-orthogonal multiple access (MIMO-NOMA) internet-of-things (IoT) systems can improve channel capacity and spectrum efficiency distinctly…
New Research on Deep Reinforcement Learning part2(Machine Learning) Deep Reinforcement Learning Based Power Allocation for Minimizing AoI and Energy Consumption in MIMO-NOMA IoT Systems(arXiv) Author : Hongbiao Zhu, Qiong Wu, Qiang Fan, Pingyi Fan, Jiangzhou Wang, Zhengquan Li Abstract : Multi-input multi-out and non-orthogonal multiple access (MIMO-NOMA) internet-of-things (IoT) systems can improve channel capacity and spectrum efficiency distinctly… deep-learning
New Research Deep Reinforcement Learning part2Machine Learning Deep Reinforcement Learning Based Power Allocation Minimizing AoI Energy Consumption MIMONOMA IoT SystemsarXiv Author Hongbiao Zhu Qiong Wu Qiang Fan Pingyi Fan Jiangzhou Wang Zhengquan Li Abstract Multiinput multiout nonorthogonal multiple access MIMONOMA internetofthings IoT system improve channel capacity spectrum efficiency distinctly… deeplearning