Quality of service‐aware adaptive radio resource management based on deep federated Q‐learning for multi‐access edge computing in beyond 5G cloud‐radio …
N Kumar, A Ahmad - Transactions on Emerging …, 2023 - Wiley Online Library
Due to the exponential increase of mobile data services, both industry and academia have
turned their focus for improving the quality of service (QoS) provisioning for the beyond 5G …
turned their focus for improving the quality of service (QoS) provisioning for the beyond 5G …
Toward reinforcement-learning-based service deployment of 5G mobile edge computing with request-aware scheduling
5G wireless network technology will not only significantly increase bandwidth but also
introduce new features such as mMTC and URLLC. However, high request latency will …
introduce new features such as mMTC and URLLC. However, high request latency will …
Enhanced machine learning scheme for energy efficient resource allocation in 5G heterogeneous cloud radio access networks
Heterogeneous cloud radio access networks (H-CRAN) is a new trend of SC that aims to
leverage the heterogeneous and cloud radio access networks advantages. Low power …
leverage the heterogeneous and cloud radio access networks advantages. Low power …
Deep-deterministic policy gradient based multi-resource allocation in edge-cloud system: a distributed approach
A Qadeer, MJ Lee - IEEE Access, 2023 - ieeexplore.ieee.org
Edge Cloud (EC) empowers the beyond 5G (B5G) wireless networks to cope with large-
scale and real-time traffics of Internet-of-Things (IoT) by minimizing the latency and providing …
scale and real-time traffics of Internet-of-Things (IoT) by minimizing the latency and providing …
Sophisticated online learning scheme for green resource allocation in 5G heterogeneous cloud radio access networks
5G is the upcoming evolution for the current cellular networks that aims at satisfying the
future demand for data services. Heterogeneous cloud radio access networks (H-CRANs) …
future demand for data services. Heterogeneous cloud radio access networks (H-CRANs) …
Deep learning (DL) based joint resource allocation and RRH association in 5G-multi-tier networks
Fifth-Generation (5G) networks have adopted a multi-tier structural model which includes
femtocells, picocells, and macrocells to ensure the user quality-of-service (QoS). To meet …
femtocells, picocells, and macrocells to ensure the user quality-of-service (QoS). To meet …
Cooperative evolution of support vector machine empowered knowledge-based radio resource management for 5G C-RAN
N Kumar, A Ahmad - Ad Hoc Networks, 2022 - Elsevier
Cloud-radio access network (C-RAN) is an innovative approach in 5th Generation
communication networks, where baseband processing units (BBUs) are dissociated from the …
communication networks, where baseband processing units (BBUs) are dissociated from the …
Cooperative radio resource management in heterogeneous cloud radio access networks
Responding to the unprecedented challenges imposed by the 5G communications
ecosystem, emerging heterogeneous network architectures allow for improved integration …
ecosystem, emerging heterogeneous network architectures allow for improved integration …
Deep-learning-based concurrent resource allocation method for improving the service response of 6G network-in-box users in UAV
G Manogaran, J Ngangmeni, J Stewart… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Network-in-box (NIB) architectures are designed to improve communication information
sharing in an ad hoc manner with limited infrastructure support. These architectures are …
sharing in an ad hoc manner with limited infrastructure support. These architectures are …
Deep reinforcement learning based dynamic resource allocation in cloud radio access networks
Cloud radio access network (C-RAN) is a promising architecture to fulfill the ever-increasing
resource demand in telecommunication networks. In C-RAN, a base station is decoupled …
resource demand in telecommunication networks. In C-RAN, a base station is decoupled …