Results 171 to 180 of about 1,251,227 (374)

A Study on Fair Bandwidth Allocation in Core-Stateless Networks： Improved Algorithm and Its Evaluation [PDF]

, 2004
Mun-Kyung Kim, Kyoung-Hyun Seo, Dong-Cheol Yuk, Seung-Seob Park   +3 more
openalex   +1 more source

IconoNET: a tool for automated bandwidth allocation planning

, 2002
Christian Frei, Boi Faltings, George Melissargos, Pearl Pu   +3 more
openalex   +2 more sources

Review on dynamic bandwidth allocation of GPON and EPON

Journal of Electronic Science and Technology, 2020
Theresal Thangappan, B. Therese, A. Suvarnamma, Gadda Sai Swapna   +3 more
semanticscholar   +1 more source

A robust adaptive effective bandwidth allocation scheme [PDF]

, 2005
Houjin Li, Changcheng Huang, Michael Devetsikiotis, Y. Champoux   +3 more
openalex   +1 more source

A hybrid OFDM-TDM architecture with decentralized dynamic bandwidth allocation for PONs. [PDF]

ScientificWorldJournal, 2013
Cevik T.
europepmc   +1 more source

Justice: Flexible and Enforceable Per-Source Bandwidth Allocation [PDF]

, 2005
Jakob Eriksson, Michalis Faloutsos, Srikanth V. Krishnamurthy   +2 more
openalex   +1 more source

Discrete bandwidth allocation considering fairness and transmission load in multicast networks [PDF]

, 2006
Chae Y. Lee, Hee K. Cho
openalex   +1 more source

Exploration of High and Low Frequency Options for Subperception Spinal Cord Stimulation Using Neural Dosing Parameter Relationships: The HALO Study

Neuromodulation: Technology at the Neural Interface, EarlyView., 2021
Abstract Objectives Subperception spinal cord stimulation (SCS) is described mostly utilizing waveforms that require high energy. However, the necessity of these waveforms for effective subperception has not been established. We aimed to explore whether effective subperception pain relief can be achieved using frequencies below 1 kHz.
José Paz‐Solís, Simon Thomson, Roshini Jain, Lilly Chen, Ismael Huertas, Que Doan   +5 more
wiley   +1 more source

On fair and efficient bandwidth allocation by the multiple target approach [PDF]

, 2006
Włodzimierz Ogryczak, Marcin Milewski, Adam Wierzbicki   +2 more
openalex   +1 more source

Machine learning approach of multi‐RAT selection for travelling users in 5G NSA networks

IET Networks, EarlyView.
The authors present RAT selection algorithm for efficient resource allocation for public bus travelling user(s), utilising live data from multiple 5G NSA base stations. Models of the supervised machine learning algorithms: SVM, DNN and XGBoost were deployed for implementation to predict or select the appropriate RAT between 4G and 5G RATs.
Nurudeen O. Salau, Sanaullah Manzoor, Muhammad Z. Shakir   +2 more
wiley   +1 more source