Non-cooperative reinforcement learning based routing in cognitive radio networks
… protocol for CRNs is considering the appropriate activity model for the PUs generating
data traffic while achieving high routing performance and meeting the Quality of Service (QoS) …
data traffic while achieving high routing performance and meeting the Quality of Service (QoS) …
[HTML][HTML] ENERO: Efficient real-time WAN routing optimization with Deep Reinforcement Learning
… under pressure to ensure the customer’s Quality of Service and fulfill Service Level Agreements.
… leverages Deep Reinforcement Learning (DRL) to optimize the routing configuration by …
… leverages Deep Reinforcement Learning (DRL) to optimize the routing configuration by …
An improved deep reinforcement learning routing technique for collision-free VANET
P Upadhyay, V Marriboina, SJ Goyal, S Kumar… - Scientific Reports, 2023 - nature.com
… Of course, bandwidth utilization should be optimized efficiently, which a major impact on
routing has based on Quality of Service (QoS). For example, when the wireless channel is busy, …
routing has based on Quality of Service (QoS). For example, when the wireless channel is busy, …
Model-based reinforcement learning for router port queue configurations
A Kattepur, S David, SK Mohalik - Intelligent and Converged …, 2021 - ieeexplore.ieee.org
… To provide QoS of various flows, routers must be appropriately … QoS in routers is DiffServ[12].
With DiffServ, the network tries to deliver a particular kind of service based on the QoS …
With DiffServ, the network tries to deliver a particular kind of service based on the QoS …
[HTML][HTML] Deep Reinforcement Learning for QoS provisioning at the MAC layer: A Survey
… (DL), to represent and comprehend the world, with reinforcement learning (RL), to … of DRL
in QoS provisioning at the MAC layer. First, we present the basic concepts of QoS and DRL. …
in QoS provisioning at the MAC layer. First, we present the basic concepts of QoS and DRL. …
Deep graph reinforcement learning based intelligent traffic routing control for software-defined wireless sensor networks
… Literature [13] introduces a probabilistic-based QoS routing mechanism for SDN to reduce
bandwidth blocking. Bayes’ theorem and the Bayesian network model are used to determine …
bandwidth blocking. Bayes’ theorem and the Bayesian network model are used to determine …
A survey of reinforcement learning based routing protocols for mobile ad-hoc networks
S Chettibi, S Chikhi - International Conference on Computer Networks and …, 2011 - Springer
… Routing problem in MANETs can be naturally formulated as a MDP with complete or partial
state observability. Nevertheless, reinforcement learning application for routing … routing is QoS…
state observability. Nevertheless, reinforcement learning application for routing … routing is QoS…
Adaptive routing in wireless mesh networks using hybrid reinforcement learning algorithm
S Mahajan, R Harikrishnan, K Kotecha - IEEE Access, 2022 - ieeexplore.ieee.org
… a QoS-assured intelligent routing system for WMNs with high traffic loads that use reinforcement
learning … As per Saeed Kaviani et al., DeepCQ+ routing, which combines emerging multi…
learning … As per Saeed Kaviani et al., DeepCQ+ routing, which combines emerging multi…
Scalable deep reinforcement learning for routing and spectrum access in physical layer
… reinforcement learning approach to simultaneous routing and … along the routing process by
training a reinforcement agent to … Favas, “Q-learning based adaptive QoS routing protocol for …
training a reinforcement agent to … Favas, “Q-learning based adaptive QoS routing protocol for …
Reinforcement learning–based QoS/QoE‐aware service function chaining in software‐driven 5G slices
… QoS-aware forwarding plane routing rather than service plane function chaining. In addition,
it does not integrate the QoS constraints with reinforcement learning … reinforcement learning, …
it does not integrate the QoS constraints with reinforcement learning … reinforcement learning, …