Learning to Predict the Mobility of Users in Mobile mmWave Networks
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Wireless Communications"
DOI: 10.1109/mwc.001.1900241
Abstract: MmWave communication suffers from severe path loss due to high frequency and is sensitive to blockages because of high penetration loss, especially in mobile communication scenarios. It highly depends on line-of-sight channels and narrow beams,… read more here.
Keywords: learning predict; mobility; mobile mmwave; predict mobility ... See more keywords
Enabling Multi-User M-MIMO for High-Mobility Users with Predictor Antennas: A Deep Analysis Based on Experimental NLOS Measurements
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2022.3167630
Abstract: Predictor antenna channel measurements from a 64-antenna base station are used to investigate the effects of channel aging on the precoder design for high-mobility users in a non-line-of-sight (NLOS) massive multiple-input multiple-output (M-MIMO) environment. The… read more here.
Keywords: multi user; mobility users; transmission; high mobility ... See more keywords