Outdoor NB-IoT coverage and channel information data in urban environments

This dataset includes data for NB-IoT networks as collected in two cities: Oslo, Norway and Rome, Italy. Data were collected using the Rohde & Schwarz TSMA6 mobile network scanner. 7 measurement campaigns are provided for Oslo, and 6 for Rome. The dataset contains the following data: - Raw data for each campaign, stored in two .csv files. For a generic campaign , the files are: NB-IoT_coverage_C.csv including a geo-tagged data entry in each row. Each entry provides information on a Narrowband Physical Cell Identifier (NPCI), with data related to the time stamp the NPCI was detected, GPS information, network (NPCI, Operator, Country Code, eNodeB-ID) and RF signal (RSSI, SINR, RSRP and RSRQ values); NB-IoT_RefSig_cir_C.csv, also including a geo-tagged data entry in each row. Each entry provides information on a NPCI, with data related to the time stamp the NPCI was detected, GPS information, network (NPCI, Operator ID, Country Code, eNodeB-ID) and Channel Impulse Response (CIR) statistics, including the maximum delay. Processed data, stored in a Matlab workspace (.mat) file for each city: data are grouped in data points, identified by pairs. Each data point provides RF and CIR maximum delay measurements for each unique combination detected at the coordinates of the data point. Estimated positions of eNodeBs, stored in a csv file for each city; - A matlab script and a function to extract and generate processed data from the raw data for each city. In addition, in the case of the Rome data a script to interpolate missing data in the original data is provided, as well as the corresponding interpolated data in a second matlab workspace. The interpolation rationale and procedure is detailed in: L. De Nardis, G. Caso, Ö. Alay, U. Ali, M. Neri, A. Brunstrom and M.-G. Di Benedetto, "Positioning by Multicell Fingerprinting in Urban NB-IoT networks," Sensors, Volume 23, Issue 9, Article ID 4266, April 2023. Please refer to the above publication when using and citing the dataset.