English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Resources dimensioning aims at finding the number of radio resources requiredto carry a forecast data traffic at a target users Quality of Services (QoS).The present paper attempts to provide a new approach of radio resourcesdimensioning considering the congestion probability, qualified as a relevantmetric for QoS evaluation. Users are assumed to be distributed according to alinear Poisson Point Process (PPP) in a random system of roads modeled byPoisson Line Process (PLP) instead of the widely-used spatial PPP. We derivethe analytical expression of the congestion probability for analyzing itsbehavior as a function of network parameters. Finally we show how to dimensionradio resources by setting a value of the congestion probability, oftentargeted by the operator, in order to find the relation between the necessaryresources and the forecast data traffic expressed in terms of cell throughput.Different numerical results are presented to justify this dimensioningapproach.

How To Dimension Radio Resources When Users Are Distributed on Roads Modeled by Poisson Line Process