… paper develops two novel learning-based resource allocation … users are considered as agents
that learn and optimize its SC … erogeneous services with mixed numerology in 5G wireless …

… a multi-agent reinforcement LEarning based Smart handoff … , a modified distributed Q-learning
algorithm with small action … resource allocation, radio frame mixed numerology [5] as well …

… 3, 4} denotes the numerology index which stands for the various … (mMTC) can utilize the
numerology with smaller SC spacing. … machine learning methods that enable a learning agent to …

… AI approach that can learn from structured and unstructured data … encourage the use of
mixed numerology with short guard … The gNB act as an agent which schedules the resources …

… learning, when an agent performs an action in a particular situation, it receives a reward. In
this type of machine learning, the goal of the agent … in the mixed-numerology interference …

… and allocation problem with mixed numerology in 5G NR, in … have considered combining
flexible numerology with network … coexistence scenario using Machine Learning. They reduce …

… While beginners can learn about the novel techniques to … mixed numerology, and Part II is
focused on layers higher than PHY. … Then a multi-agent reinforcement learning based smart …

… There is inter-numerology interference due to the use of mixed … , no labeled data is provided
and the aim of the learning agent is to … With reinforcement learning, a learning agent tries to …

… As such, in this paper, a multi-agent reinforcement LEarning based Smart handover
Scheme… function virtualization, physical layer mixednumerology coexistence, network resource …

… by employing a multi-agent Q-learning to minimize handover … , the authors used the
multiagent Q-learning approach. In [17]… users by considering mixed numerology-based frame …