Applications of deep reinforcement learning in communications and networking: A survey
This paper presents a comprehensive literature review on applications of deep
reinforcement learning (DRL) in communications and networking. Modern networks, eg …
reinforcement learning (DRL) in communications and networking. Modern networks, eg …
AI models for green communications towards 6G
Green communications have always been a target for the information industry to alleviate
energy overhead and reduce fossil fuel usage. In the current 5G and future 6G eras, there is …
energy overhead and reduce fossil fuel usage. In the current 5G and future 6G eras, there is …
Deep reinforcement learning for mobile 5G and beyond: Fundamentals, applications, and challenges
Z ** control in 5G heterogeneous networks using reinforcement learning
The massive deployment of small cells in 5G networks represents an alternative to meet the
ever increasing mobile data traffic and to provide very-high throughout by bringing the users …
ever increasing mobile data traffic and to provide very-high throughout by bringing the users …
Economic aspects of the detection of new strains in a multi-strain epidemiological–mathematical model
Mankind has struggled with pathogens throughout history. In this context, the contribution of
vaccines to the continued economic and social prosperity of humanity is enormous, but it is …
vaccines to the continued economic and social prosperity of humanity is enormous, but it is …