Millimeter-Wave Beam Selection in Time-Varying Channels with User Orientation Changes

Chavva, AKR and Mehta, NB (2021) Millimeter-Wave Beam Selection in Time-Varying Channels with User Orientation Changes. In: IEEE Transactions on Wireless Communications, 20 (11). pp. 6987-7000.

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Abstract

The use of many narrow beams to overcome the adverse propagation conditions in millimeter-wave channels leads to large training durations and overheads in 5G systems. This causes the beam measurements to become outdated by different extents at the time the transmit and receive beams are selected. The rapid changes in user device orientation exacerbate this problem. We first present a novel modified bivariate Nakagami-$m$ (MBN) model to tractably and accurately characterize the joint, non-stationary statistics of the channel gains seen at the times of measurement and data transmission. We then derive a novel and optimal beam selection rule that maximizes the average rate of the system. We use the MBN model to propose a near-optimal, practically amenable bound-based selection (PABS) rule. Our approach captures several pertinent aspects about the spatial channel model and 5G, such as transmission of periodic bursts of reference signals, feedback from the user to enable the base station to select its transmit beam, and the faster pace of updating the data rate compared to the transmit-receive beam pair. The PABS rule markedly outperforms the widely used conventional power-based selection rule and is less sensitive to user orientation changes.

Item Type:	Journal Article
Publication:	IEEE Transactions on Wireless Communications
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:	Time varying networks, Beam measurements; Conventional power; Millimeter-wave beams; Non-stationary statistics; Reference signals; Spatial channel models; Time varying channel; User-orientation, Millimeter waves
Department/Centre:	Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited:	27 Nov 2023 10:12
Last Modified:	27 Nov 2023 10:12
URI:	https://eprints.iisc.ac.in/id/eprint/82919

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