… a multi-agent reinforcement LEarning based Smart handoff … , a modified distributed Q-learning algorithm with small action … resource allocation, radio frame mixednumerology [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 learningagent to …
… AI approach that can learn from structured and unstructured data … encourage the use of mixednumerology 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 mixednumerology 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 … mixednumerology, 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 learningagent is to … With reinforcement learning, a learningagent tries to …
Y Sun, W Jiang, G Feng, PV Klaine… - … on Network and …, 2020 - ieeexplore.ieee.org
… 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 mixednumerology-based frame …