A Stochastic Framework of Millimeter Wave Signal for Mobile Users: Experiment, Modeling and Application in Beam Tracking Conference Paper

abstract

• 2018 IEEE. In this paper, we propose to employ the Markov jump linear system to model the characteristics of millimeter wave (mmWave) signals, such as signal strength and angle-of-arrival (AoA), for mobile users. We integrate the spatial correlation between line-of-sight (LoS) and none-line-of-sight (NLoS) beams to the stochastic framework for better modeling mmWave. To handle the channel dynamics in mmWave communications, we derive a Markov gain-state channel model based on channel measurements in an indoor environment from our field measurement. The proposed stochastic model is used to estimate the transition probability of each channel. Then it is integrated into the Markov jump linear system framework to construct the linear estimator for channel variables, such as AoA and channel gain. The simulation result demonstrates the outperformance of the proposed framework against the previous Kalman-filtering-based tracking algorithm.

name of conference

• 2018 11th Global Symposium on Millimeter Waves (GSMM)

authors

• Tian, Chao

published proceedings

• 2018 11TH GLOBAL SYMPOSIUM ON MILLIMETER WAVES (GSMM)

author list (cited authors)

• Fan, Y., Li, J. B., Tian, C., & Li, H.

citation count

• 2

complete list of authors

• Fan, Yawen||Li, Jingchao Bao||Tian, Chao||Li, Husheng

publication date

• January 2018

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• n2380-9515ISSN  Journal

keywords

• Bioengineering

Digital Object Identifier (DOI)

• 10.1109/gsmm.2018.8439186

International Standard Book Number (ISBN) 13

• 9781538645840

start page

• 77

end page

• 82

volume

• 00

URL

• http://dx.doi.org/10.1109/gsmm.2018.8439186