… QoS provisioning at the MAC layer, including medium access … to support QoS at the MAC
layer, by analyzing, comparing, and … In this paper, we focus on QoS support at the MAC layer, in …

… In Section 3, we formulate the MAC layer protocol described along with its objective function
in the context of throughput maximisation and energy consumption minimisation. Section 4 …

… In the MAC layer, we have kept the same implementations of TDMA and CSMA of [15].
The CSMA protocol is similar to IEEE 802.11, leaving out medium reservation (RTS/CTS …

… Following this interesting trend, the current article presents LEASCH, a deep reinforcement
learning model able to solve the radio resource scheduling problem in the MAC layer of 5G …

… at the Medium Access Control (MAC) layer due to its energy-… which benefit from the
Reinforcement Learning (RL) methods … the specific adjustment of MAC layer parameters, up to …

… be solved by employing reinforcement learning (RL) techniques. … , we propose a deep
reinforcement learning (DRL)-based … to the hidden layer, which is shared by the state layer and all …

… 2) LSTM layer: Employing the LSTM layer to estimate the accurate state based on the recorded
… Therefore, this layer is responsible for maintaining an internal state and learning how to …

… applications at the MAC layer with a comprehensive understanding of ML-based MAC
protocols under a MAC reference model. We focus on RL [53] and deep reinforcement learning (…

… Learn to schedule (LEASCH): A deep reinforcement learning approach for radio resource
scheduling in the 5G MAC layer… deep pointer networks and reinforcement learning,” in 2020 …

… MAC layer and shows superior performance. We present an overview of RL applications
in the MAC layer … is a fundamental functionality in the MAC layer, the aim of which is to …