Prediction of Missing Values of Critical 4G LTE Parameters Using Experimental Dataset Derived from a Dense Urban Environment

The data presented were acquired through a drive test. A 4G LTE modem was installed on a computer, and a Global Position System (GPS) was assembled in a vehicle and driven at 30 km/h. The measured data were logged at the one-second interval. The routes covered lie between Victoria Island and Ikoyi,...

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Main Author: Imoize, A (via Mendeley Data)
Language:unknown
Published: 2022
Subjects:
Interdisciplinary sciences
Victoria Island
Online Access:http://nbn-resolving.org/urn:nbn:nl:ui:13-6x-4xqp
https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:240324
id ftdans:oai:easy.dans.knaw.nl:easy-dataset:240324
record_format openpolar
spelling ftdans:oai:easy.dans.knaw.nl:easy-dataset:240324 2024-06-23T07:57:24+00:00 Prediction of Missing Values of Critical 4G LTE Parameters Using Experimental Dataset Derived from a Dense Urban Environment Imoize, A (via Mendeley Data) 2022-03-31T14:06:38.829Z http://nbn-resolving.org/urn:nbn:nl:ui:13-6x-4xqp https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:240324 unknown 1 78dhxwj56j http://nbn-resolving.org/urn:nbn:nl:ui:13-6x-4xqp doi:10.17632/78dhxwj56j.1 https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:240324 OPEN_ACCESS: The data are archived in Easy, they are accessible elsewhere through the DOI https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf Agbotiname Imoize Interdisciplinary sciences 2022 ftdans https://doi.org/10.17632/78dhxwj56j.1 2024-06-11T04:08:51Z The data presented were acquired through a drive test. A 4G LTE modem was installed on a computer, and a Global Position System (GPS) was assembled in a vehicle and driven at 30 km/h. The measured data were logged at the one-second interval. The routes covered lie between Victoria Island and Ikoyi, Lagos State, Nigeria. The data reported will aid in efficient network planning to ensure high quality of service (QoS), especially for real-time applications, algorithmic development, modeling, and training learning-based models by all parties in the wireless ecosystem. THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOVE Other/Unknown Material Victoria Island Data Archiving and Networked Services (DANS): EASY (KNAW - Koninklijke Nederlandse Akademie van Wetenschappen)
institution Open Polar
collection Data Archiving and Networked Services (DANS): EASY (KNAW - Koninklijke Nederlandse Akademie van Wetenschappen)
op_collection_id ftdans
language unknown
topic Interdisciplinary sciences
spellingShingle Interdisciplinary sciences
Imoize, A (via Mendeley Data)
Prediction of Missing Values of Critical 4G LTE Parameters Using Experimental Dataset Derived from a Dense Urban Environment
topic_facet Interdisciplinary sciences
description The data presented were acquired through a drive test. A 4G LTE modem was installed on a computer, and a Global Position System (GPS) was assembled in a vehicle and driven at 30 km/h. The measured data were logged at the one-second interval. The routes covered lie between Victoria Island and Ikoyi, Lagos State, Nigeria. The data reported will aid in efficient network planning to ensure high quality of service (QoS), especially for real-time applications, algorithmic development, modeling, and training learning-based models by all parties in the wireless ecosystem. THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOVE
author Imoize, A (via Mendeley Data)
author_facet Imoize, A (via Mendeley Data)
author_sort Imoize, A (via Mendeley Data)
title Prediction of Missing Values of Critical 4G LTE Parameters Using Experimental Dataset Derived from a Dense Urban Environment
title_short Prediction of Missing Values of Critical 4G LTE Parameters Using Experimental Dataset Derived from a Dense Urban Environment
title_full Prediction of Missing Values of Critical 4G LTE Parameters Using Experimental Dataset Derived from a Dense Urban Environment
title_fullStr Prediction of Missing Values of Critical 4G LTE Parameters Using Experimental Dataset Derived from a Dense Urban Environment
title_full_unstemmed Prediction of Missing Values of Critical 4G LTE Parameters Using Experimental Dataset Derived from a Dense Urban Environment
title_sort prediction of missing values of critical 4g lte parameters using experimental dataset derived from a dense urban environment
publishDate 2022
url http://nbn-resolving.org/urn:nbn:nl:ui:13-6x-4xqp
https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:240324
genre Victoria Island
genre_facet Victoria Island
op_relation 1
78dhxwj56j
http://nbn-resolving.org/urn:nbn:nl:ui:13-6x-4xqp
doi:10.17632/78dhxwj56j.1
https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:240324
op_rights OPEN_ACCESS: The data are archived in Easy, they are accessible elsewhere through the DOI
https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf
Agbotiname Imoize
op_doi https://doi.org/10.17632/78dhxwj56j.1
_version_ 1802651013604179968

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