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Deep learning-based caching optimization for VR 360° videos in vehicular edge computing. [PDF]

Sci Rep
Khan S, Zhang J, Soothar KK, Ahmad I, Ahmad S, Ali I.   +5 more
europepmc   +1 more source

Analysis of Deep Reinforcement Learning Algorithms for Task Offloading and Resource Allocation in Fog Computing Environments. [PDF]

Sensors (Basel)
Ali EM, Abawajy J, Lemma F, Baho SA.
europepmc   +1 more source

A Power-Aware 5G Network Slicing Scheme for IIoT Systems with Age Tolerance. [PDF]

Sensors (Basel)
Weng M, Bai Y, Xie X.
europepmc   +1 more source

Satellite Observation Mission Resource Scheduling Based on Dynamic Coalition Algorithm. [PDF]

Sensors (Basel)
Zhai S, Zhang T, Chen H.
europepmc   +1 more source

Development of Bandwidth Utilization in a Dynamic Network Environment for Network Resource Allocation Using Neural Network

Ituma Chinagolum, Mercy Ebere Ikem, Azemobor Daniel   +2 more
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Review of Dynamic Bandwidth Allocation in GPON

2020 International Conference on Communication and Signal Processing (ICCSP), 2020
Passive Optical Network (PON) is considered as the most important among access networks which is being evolved drastically in recent years. In this, Gigabit Passive Optical Network (GPON) is the most popular among the other types of PONs because of some betterments like higher Upstream (US) and Downstream (DS) bit rate also Quality of Service (QoS ...
Theresal Thangappan, Ezhilan Manimaran, Arunachalam Arasu, Rajkumar Arulprakash, J.S Harish Ganapathi   +4 more
openaire   +2 more sources

Towards 6G: fast and self-adaptive dynamic bandwidth allocation for next-generation mobile fronthaul

Journal of Optical Communications and Networking, 2023
6G networks will deliver dynamic and immersive applications that bridge the real and digital worlds. The next-generation passive optical access network is a potential optical transport solution for the fronthaul of open radio access networks.
Elaine Wong, Lihua Ruan
semanticscholar   +1 more source

Dynamic Beam Pattern and Bandwidth Allocation Based on Multi-Agent Deep Reinforcement Learning for Beam Hopping Satellite Systems

IEEE Transactions on Vehicular Technology, 2022
Due to the non-uniform geographic distribution and time-varying characteristics of the ground traffic request, how to make full use of the limited beam resources to serve users flexibly and efficiently is a brand-new challenge for beam hopping satellite ...
Zhiyuan Lin, Zuyao Ni, Linling Kuang, Chunxiao Jiang, Zhen Huang   +4 more
semanticscholar   +1 more source

Deep Reinforcement Learning for Dynamic Bandwidth Allocation in Multi-Beam Satellite Systems

International Conference on Communication, Computing & Security, 2021
Future multi-beam satellite (MBS) network is an essential part of the air-space-ground integrated network, which is the future blueprint of 6G.
Shijun Ma, Xin Hu, Xianglai Liao, Weidong Wang   +3 more
semanticscholar   +1 more source

Dynamic bandwidth allocation policies

Proceedings of IEEE INFOCOM '96. Conference on Computer Communications, 2002
When traffic of connectionless best effort protocols such as IP is carried over connection oriented protocols with guaranteed bandwidth, such as CBR connection in ATM, the interface layer between the protocols (i.e., AAL-the ATM adaption layer) needs to specify the bandwidth requirement and the duration of the bandwidth reservation. The purpose of this
Y. Afek, M. Cohen, E. Haalman, Y. Mansour   +3 more
openaire   +1 more source