Robotics & Machine Learning Daily News2024,Issue(Aug.30) :56-57.

Research Data from University of Leeds Update Understanding of Support Vector Ma chines (Support Vector Machine-based Handover Scheme for Heterogeneous Ultra Den se Network of Highspeed Railway)

Robotics & Machine Learning Daily News2024,Issue(Aug.30) :56-57.

Research Data from University of Leeds Update Understanding of Support Vector Ma chines (Support Vector Machine-based Handover Scheme for Heterogeneous Ultra Den se Network of Highspeed Railway)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Support Vector Machines. According to news reportingoriginating in Leeds, United Kingd om, by NewsRx journalists, research stated, “In order to meet thegrowing demand s and extend network coverage for high-speed railway (HSR) system, the dense deployment of a large number of small cells (SCs) is considered for 5G networks. Ho wever, the deploymentof dense SCs and the high speed of trains result in challe nging problems such as interference, frequenthandovers (HOs), increased HO fail ure rate, and consequently the deteriorated overall quality of service(QoS).”

Key words

Leeds/United Kingdom/Europe/Emerging Technologies/Machine Learning/Support Vector Machines/Vector Machines/Univer sity of Leeds

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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