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The eurecom/elasticmon5G2019 dataset (v. 2019-08-29)

4G and 5G RAN monitoring data collected using the ElasticMon 5G monitoring framework over FlexRAN

Contributed by Berkay Koksal, Robert Schmidt, Xenofon Vasilakos, Navid Nikaien.

Ten dataset files containing 4G\/5G MAC, RRC and PDCP statistics and monitoring data, grouped into two versions of 5 datasets each: raw statistics and processed monitoring data. Raw datasets are recorded using ElasticMon v0.1, a prototype version of a monitoring framework extension of the FlexRAN 5G programmable platform for Software-Defined Radio Access Networks. For details, see here: http:\/\/mosaic-5g.io\/flexran\/. Scenarios & setup: Raw datasets are recorded for one eNB and a single mobile User Equipment (UE) in five different mobility scenarios by following different motions and distance patterns relative to the eNB . All raw data have been recorded without including Tx power amplification on the RF frontend (0 dBm transmit power), which implies an approximately 10m maximum range of coverage. Future versions of the datasets will refer to multiple UEs monitoring and an eNB with Tx power amplification. How to use: The contributed raw datasets can be processed and used for training intelligent 4G\/5G models. The processed datasets that are also contributed here follow a proposed stepwise paradigm procedure. Therefore, you are advised to customize and adapt the proposed processing steps to match your own needs.

This dataset has been cited 0 times.

All versions of this dataset, oldest to newest: v. 2019-08-29v. 2019-08-29.

 details of the eurecom/elasticmon5G2019 dataset (v. 2019-08-29)

This dataset contains the following 2 tracesets:

  1. 01-RawDatasets
    Raw 4G and 5Gmonitoring data

  2. 02-PreprocessedDatasets
    Processed monitoring data (derives from traceset 01-RawDatasets) by adding timestamps and cleaning out (i) corrupt\/inaccurate metric values and (ii) static values.

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 how to cite this dataset