Stochastic Model for Time-Varying Millimeter-Wave Beam Gains with User Orientation Changes

Chavva, AKR and Mehta, NB (2021) Stochastic Model for Time-Varying Millimeter-Wave Beam Gains with User Orientation Changes. In: IEEE Global Communications Conference, GLOBECOM 2021, 7- 11 December 2021, Madrid.

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Abstract

In the widely used spatial channel model (SCM), the millimeter wave channels encountered by a 5G system are constructed using a stochasto-geometric approach. However, a probabilistic characterization of the time evolution of the gain of any transmit-receive beam pair is not available. We propose a novel modified bivariate Nakagami-m (MBN) model that presents such a characterization. It accurately captures the non-stationary time-variation in the beam gain due to user mobility and user device orientation changes. It applies to both positive and negative correlations between the beam gains. We derive closed-form expressions for the MBN parameters in terms of the SCM parameters. We then apply this tractable model to develop a new, effective, and robust beam selection rule. It predicts in closed-form the signal-to-noise ratios of the beam pairs at the time a beam pair is selected given the beam pair gain measurements that are made at different times. © 2021 IEEE.

Item Type:	Conference Proceedings
Publication:	2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	The copyright for this article belongs to Institute of Electrical and Electronics Engineers Inc.
Keywords:	5G mobile communication systems; Signal to noise ratio; Stochastic models; Stochastic systems, Bivariate; Geometric approaches; Millimeter-wave beams; Orientation changes; Probabilistics; Spatial channel models; Stochastic-modeling; Time varying; User-orientation; Wave channels, Millimeter waves
Department/Centre:	Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited:	19 May 2022 06:53
Last Modified:	19 May 2022 06:53
URI:	https://eprints.iisc.ac.in/id/eprint/71903

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