@inproceedings{8a2e02bd4ca84fbaa884c9d6246dfb40,
title = "Stochastic dynamic channel models for millimeter cellular systems",
abstract = "The millimeter wave (mmWave) frequencies offer the potential for enormous capacity cellular systems. However, a key challenge in designing robust communication systems in these frequencies is channel intermittency: mmWave signals are extremely vulnerable to blocking and the channel can rapidly appear and disappear with small movement of obstacles and reflectors. This paper presents a novel statistical model that can capture the dynamics of mmWave channels as a two-dimensional arrival process. The parameters in the model can be easily fit via maximum entropy estimation and preliminary results on fitting these models to commercial ray tracing data are presented.",
author = "Eliasi, {Parisa A.} and Sundeep Rangan",
year = "2015",
doi = "10.1109/CAMSAP.2015.7383773",
language = "English (US)",
series = "2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "209--212",
booktitle = "2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015",
note = "6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015 ; Conference date: 13-12-2015 Through 16-12-2015",
}