… We present a solution to this maximization problem using block-based Q learning. In our …
“Resource allocation and congestion control in clustered M2M communication using Q-Learning…

… resource allocation (CS-RA) in heterogeneous wireless networks [22]. They put forward a
technique for distributed cell selection and resource allocation … clustering algorithm to allocate …

… using Q-Learning and NOMA with clustering, … avoidance ability and faster convergence.
Our work differs from [19], [20], [27] because, besides using Q-Learning for resource allocation …

… , resource allocation approaches based on deep learning are … reinforcement learning,
Q-learning technique, reinforcement … [49] based on clustering for resources management, increase …

… , resource allocation approaches based on deep learning are … reinforcement learning,
Q-learning technique, reinforcement … [49] based on clustering for resources management, increase …

… It is because these reinforcement learning methods learn and can adapt dynamically to
the variation in the network environment [55]–[57]. Also, K-means clustering and PCA can be …

… needs are grouped and joined to an LTE resources by the M.2.M. It is the job of the M.2.…
method for resource allocation in LTE networks and supports machine-to-machine (M2M) and …

… resources and paging-based RA [4]; prioritized RA, grouped-… RAN congestion avoidance
in mMTC networks, the use of Q-… not investigate the resource allocation optimization problem (…

… If the resource allocation of data in EDT Msg 1 uses uplink shared channel (USCH), the
parameters including ‘EDT-TBS’ are pre-configured by gNB in SIB2 before the EDT process …

… the problem of cell selection and resource allocation (CS-RA) in … helps congested cells to
handle tra c dynamically. It is based on clustering methods and can be automatically controlled …