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V. Raida, P. Svoboda, M. Rupp:
"Real World Performance of LTE Downlink in a Static Dense Urban Scenario - An Open Dataset";
Talk: IEEE Global Communications Conference (GLOBECOM 2020), Taipei, Taiwan; 2020-12-08 - 2020-12-10; in: "IEEE Global Communications Conference (GLOBECOM 2020)", IEEE (ed.); (2020), 6 pages.

Open datasets with measurements in cellular mobile networks are rare. In this paper, we share 90 hours (over 600 000 samples with time-resolution of 500 milliseconds) of smartphone measurements conducted in a dense urban environment in the downlink of an operational LTE network. To capture, on the one hand, the short-term fluctuations of the measured key parameter indicators, and on the other hand, also time-of-day effects, we chose a static indoor setup. Despite the static configuration, the dataset offers a rich variability over time. The dataset can be appealing for machine learning applications (e.g., throughput prediction), simulations verification, or for educational purposes, as it contains detailed statistics throughout different LTE layers, which may help students to better comprehend the concepts of communication in LTE downlink.

dataset, LTE, downlink, measurement, RSRP, RSRQ, RSSI, SINR, throughput, physical, MAC, RLC, BLER, PRB, CSI, CQI, rank, MCS, static, indoor

https://publik.tuwien.ac.at/files/publik_290762.pdf