… no effort to create a learning environment that was very … select the appropriate numerology
considering the channel … -based Resource Allocation with Mixed Numerology), nous …

… single subcarrier spacing type is not suitable, hence flexible numerology is used in 5G NR
[18]. … Here slot length differentiates based on numerology used by the user [20]. Each time slot …

… consider that each device is a learning agent and define Qt (m, … erogeneous services with
mixed numerology in 5g wireless … network slicing for multi-numerology 5g wireless networks,” …

… the use of machine learning methods to optimize regional … and thus act as another agent in
our cellular energy system … , correlating to 15 kHz in 5G numerology. The test setup comprises …

… To this end, this paper considers mixed numerologies in a frequency … For instance, the dynamic
allocation of the mixed numerology… In this section, utilizing a deep learning approach, we …

… deep reinforcement learning, a machine learning type that involves an agent learning to make
… Specifically, the DDRQL algorithm uses Q-learning, a type of reinforcement learning that …

… We propose a higher 5G-NR numerology completed by a … -Numerology Interference (INI)
between eMBB and URLLC slices and proposed using a deep reinforcement learning agent to …

… resource allocation strategy for a mixed RSU-vehicle scenario. In … by packet priority and the
numerology coefficient µ, takes … However, the IQL has a drawback in that all agents learn in a …

… We also investigate a plentiful suite of learning-driven … services, the multi-domain numerology
defined in 5G NR enables flexible … In reinforcement learning, an agent will interact with the …

… the problem, we propose a Multi-Agent Reinforcement Learning (MARL) framework to optimize
… the RL agents whose components have been designed in Sec. IV, we propose a learning …