3GPP 38.901 Indoor mmWave Channel Dataset in the Presence of Dynamic Blockers

This dataset includes the measured Downlink (DL) signal-to-noise ratios (SNRs) at the User Equipments (UEs), adopting one of the beams of the beamforming codebook employed at the Base Stations (BSs). First, we configured a system-level simulator that implements the most recent Third Generation Partnership Project (3GPP) 3D Indoor channel models and the geometric blockage Model-B to simulate an indoor network deployment of BSs and UEs adopting Uniform Planar Arrays (UPAs) and a codebook based transmission. Next, we configured the simulation scenario with one blocker moving on a straight path and intersecting the BS Transmitter (Tx) beams steered towards the UE locations. Finally, we collected SNR measurements over time for each Tx beam and BS with the blocker moving at two different speeds, which correspond to v=1 m/s and v=2 m/s, respectively, and we repeated the same movement pattern for 100 network drops.

Related paper: A. Bonfante, L. G. Giordano, I. Macaluso and N. Marchetti, "Performance of Predictive Indoor mmWave Networks with Dynamic Blockers," in IEEE Transactions on Cognitive Communications and Networking, doi: 10.1109/TCCN.2021.3118459.
URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9562975&isnumber=7294639