Multiagent deep-reinforcement-learning-based resource allocation for heterogeneous QoS guarantees for vehicular networks
… 1) This article focuses on heterogeneous QoS provisioning for V2V communications and …
To satisfy the heterogeneous QoS requirements and, meanwhile, guaranteeing the QoS of all …
To satisfy the heterogeneous QoS requirements and, meanwhile, guaranteeing the QoS of all …
Deep reinforcement learning-based QoS optimization for software-defined factory heterogeneous networks
… ) requirements of multi-source data flows in the software-defined factory heterogeneous …
proposes a QoS optimization method for software-defined factory heterogeneous networks …
proposes a QoS optimization method for software-defined factory heterogeneous networks …
DeepEdge: A new QoE-based resource allocation framework using deep reinforcement learning for future heterogeneous edge-IoT applications
… the heterogeneous requirements of IoT applications to the available edge resources. The
alignment is achieved through selection of QoS … two-stage deep reinforcement learning (DRL) …
alignment is achieved through selection of QoS … two-stage deep reinforcement learning (DRL) …
Deep reinforcement learning for user association and resource allocation in heterogeneous cellular networks
… In this paper, a reinforcement learning (RL) approach is proposed to achieve the maximum
… quality of service requirements of user equipments (UEs) in the downlink of heterogeneous …
… quality of service requirements of user equipments (UEs) in the downlink of heterogeneous …
Reinforcement learning for medical information processing over heterogeneous networks
… To achieve a better quality of service … a reinforcement learning-based multimedia data
segregation algorithm (RLMDS) used for the classification of healthcare data in a heterogeneous …
segregation algorithm (RLMDS) used for the classification of healthcare data in a heterogeneous …
Distributed deep reinforcement learning-based spectrum and power allocation for heterogeneous networks
… -tier heterogeneous network, mobile devices have QoS requirements. … reinforcement
learning to smartly implement the handover processes to guarantee both the connectivity and QoS …
learning to smartly implement the handover processes to guarantee both the connectivity and QoS …
5MART: A 5G SMART scheduling framework for optimizing QoS through reinforcement learning
… significant problems in meeting the heterogeneous QoS requirements of various application
… that manages the QoS provisioning for heterogeneous traffic. Reinforcement learning and …
… that manages the QoS provisioning for heterogeneous traffic. Reinforcement learning and …
A reinforcement learning-based green resource allocation for heterogeneous services in cooperative cognitive radio networks
A Kaur, K Kumar - IEEE Transactions on Network and Service …, 2021 - ieeexplore.ieee.org
… heterogeneous QoS requirements with cooperative framework. To achieve this task, reinforcement
learning … developed, where each learning agent (CBS act as learning agent) performs …
learning … developed, where each learning agent (CBS act as learning agent) performs …
Deep reinforcement learning for user association and resource allocation in heterogeneous networks
… ’ quality of service requirements in the downlink of HetNets. Multi-agent reinforcement learning
… action space, the multi-user deep reinforcement learning is presented. Double deep Q-…
… action space, the multi-user deep reinforcement learning is presented. Double deep Q-…
Heterogeneous task offloading and resource allocations via deep recurrent reinforcement learning in partial observable multifog networks
… guaranteeing the Quality-of-Service (QoS) requirements of the users. This article studies
the design of a joint task offloading and resource allocation control for heterogeneous service …
the design of a joint task offloading and resource allocation control for heterogeneous service …
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