LTE RSRP, RSRQ, RSSNR and local topography profile data for RF propagation planning and network optimization in an urban propagation environment

In the design of 5 G cellular communication to guarantee quality signal reception at every point within a coverage area, fundamental knowledge of the channel propagation characteristics is vital. A correct knowledge of electromagnetic wave propagation is required for efficient radio network planning and optimization. Propagation data are used extensively in network planning, particularly for conducting feasibility studies. Hence, measurement of accurate propagation models that predict how the channel varies as people move about is crucial. However, these measured data are often not widely available for channel characterization and propagation model development. In this data article, the Reference Signal Received Power (RSRP), Reference Signal Received Quality (RSRQ) and Reference Signal Signal to Noise Ratio (RSSNR) at various points in space which is covered by a Long-Term Evolution (LTE) marco base station operating at 2100 MHz located in Hatfield, Hertfordshire, United Kingdom were measured. Further, local topography profile data of the study area were extracted from a digital elevation model (DEM) to account for the features of the propagation environment. Correlation matrix and descriptive statistics of the measured LTE data along different routes are analyzed. The RSRP, RSRQ and RSSNR variation with transmitter (Tx) – receiver (Rx) separation distance along the routes are presented. The probability distribution and the DEM of LTE data measurement are likewise presented. The data provided in this article will facilitate research advancement in wireless channel characterization that accounts for local topography features in an urban propagation environment. Moreover, the data sets provided in this article can be extended using simulation-based analysis to extract spatial and temporal channel model parameters in urban cellular environments in the development of 5 G channel propagation models.

In the design of 5 G cellular communication to guarantee quality signal reception at every point within a coverage area, fundamental knowledge of the channel propagation characteristics is vital. A correct knowledge of electromagnetic wave propagation is required for efficient radio network planning and optimization. Propagation data are used extensively in network planning, particularly for conducting feasibility studies. Hence, measurement of accurate propagation models that predict how the channel varies as people move about is crucial. However, these measured data are often not widely available for channel characterization and propagation model development. In this data article, the Reference Signal Received Power (RSRP), Reference Signal Received Quality (RSRQ) and Reference Signal Signal to Noise Ratio (RSSNR) at various points in space which is covered by a Long-Term Evolution (LTE) marco base station operating at 2100 MHz located in Hatfield, Hertfordshire, United Kingdom were measured. Further, local topography profile data of the study area were extracted from a digital elevation model (DEM) to account for the features of the propagation environment. Correlation matrix and descriptive statistics of the measured LTE data along different routes are analyzed. The RSRP, RSRQ and RSSNR variation with transmitter (Tx)receiver (Rx) separation distance along the routes are presented. The probability distribution and the DEM of LTE data measurement are likewise presented. The data provided in this article will facilitate research advancement in wireless channel

Data source location
The LTE measurement and local topography profile data presented in this article were collected in Hatfield, Hertfordshire, United Kingdom (Latitude 51°44' 56.72" N and longitude 000°14' 33.65" W).

Data accessibility
Datasets on various measurements such as RSRP, RSRQ, RSSNR, Tx-Rx Distance and Altitude are provided with this article.

Value of the data
The data provided in this article will facilitate research advancement in wireless channel characterization that accounts for local topography features in an urban university campus propagation environment.
The data provided in this article will provide useful insights into the performance of cellular networks under different fading conditions, during the network planning and for designing future 5 G network infrastructure to ensure an adequate quality-of-service for all users in an urban university campus propagation environment.
The data will facilitate research development of analytical standard models such as the 3rd Generation Partnership Project (3GPP) WINNER II MIMO channel model for long term evolution (LTE)-Advanced and other proposed models for future 5 G systems for sub À6 GHz and mmWave frequencies.
The data sets provided can be extended using simulation-based analysis to extract spatial and temporal channel model parameters in urban cellular environments in the development of 5 G channel propagation models.

Data
To meet the ever-increasing demand for data on the move, all major telecommunications companies, as well as global standardization entities, are actively driving the research and development of 5 G cellular communications [1,2]. During the deployment of 5 G cellular communication to increase cellular network capacity, cellular base station will need to be upgraded [1]. Theses base station features will include a new generation of high-capacity base band units, multi-band remote radio units, Large-bandwidth and high-power C-band Massive MIMO active antenna unit, and highpower cabinets [3].
In the design of 5 G cellular communication to guarantee quality signal reception at every point within the coverage area, fundamental knowledge of the channel propagation characteristics is vital. A correct knowledge of electromagnetic wave propagation is also required for efficient radio network planning and optimization [4]. Propagation data are used extensively in network planning, particularly for conducting feasibility studies. They are also very useful for performing interference studies as the deployment proceeds [5].
Wireless communications engineers rely on measurement data and local terrain profile information to determine optimal locations of base stations; attain best possible data rates; predict radio coverage; determine the required Tx power; aid appropriate selection of antenna height and pattern; conduct radio network optimization; perform interference feasibility studies; and ensure an acceptable level of quality of service without the need of expensive and time consuming measurements [6]. In this data article, the Reference Signal Received Power (RSRP), Reference Signal Received Quality (RSRQ) and Reference Signal Signal to Noise Ratio (RSSNR) from a LTE Marco base station operating at frequency 2100 MHz located in Hatfield, Hertfordshire, United Kingdom (Latitude 51°44' 56.72" N and longitude 000°14' 33.65" W) were measured along a drive route D1 and 2 pedestrian routes P1 and P2 as shown in Fig. 1. Correlation matrix and descriptive statistics of measured LTE data along drive D1 (route 1), pedestrian P1 (route 2) and pedestrian P2 (route 3) are present in Table 1  The LTE receiver field measurement data was collected using a test reconfigurable Base Transceiver System (BTS). The BTS is based on Software Defined Radio (SDR) using a National Instrument (NI) Universal Software Radio Peripheral (USRP) B200 board and OpenBTS. A retractable 9 dBi omnidirectional whip antenna was coupled to the USRP. The network testing software OpenBTS was realized using open source software GNU Radio running on a Linux OS. The Linus OS was running on a 7th generation Intel s Core™ i7-7500U CPU processor with 16 GB RAM. The Global Position System's (GPS) Latitude and longitude data were collected using the USRP with a magnetic mount GPS antenna attached to the USRP for enhanced functionality. The local topography profile data were obtained from NASA's SRTM1 database [8] digital terrain map. For route 1 measurements the setup was placed in a vehicle driven at an average speed of 20 mile per hour. The speed of the vehicle was maintained throughout the propagation measurement along D1 (route 1). For the pedestrian test the setup was loaded into a Portable walking safety laptop desk harness for both P1 (route 2) and P2 (route 3). All measurements were carried out under good climatic conditions.

Correlation matrix and descriptive statistics of measured LTE data
See Tables 1-3.  Note. All correlation were significant at p o .01. Tx ¼ Transmitter: Rx ¼ Receiver.

Probability distribution of measured LTE data measurement
See Figs. 8-16.

Digital elevation model (DEM) of measured LTE data
See Figs. 17-20.  wish to appreciate the Electrical, Communication and Electronic Division, School of Engineering and Technology, University of Hertfordshire for the purchase of the equipment used in this research.

Transparency document. Supporting information
Transparency data associated with this article can be found in the online version at https://doi.org/ 10.1016/j.dib.2018.08.137.

Appendix A. Supporting information
Supplementary data associated with this article can be found in the online version at https://doi. org/10.1016/j.dib.2018.08.137. These data include Google maps of the most important areas described in this article.