Dynamic Beam Selection for Beam-RSRP Based Direction Finding in mmW 5G Networks

This paper considers direction-finding in millimeter wave (mmW) fifth generation (5G) networks by means of beam-based downlink (DL) reference signal received power (RSRP) measurements and subsequent reporting. In particular, we propose two methods that allow user equipments (UEs) to select, in an in...

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Bibliographic Details
Main Authors: Rastorgueva-Foi, Elizaveta, Costa, Mario, Koivisto, Mike, Leppanen, Kari, Valkama, Mikko
Format: Conference Proceeding
Language:English
Subjects:
5G mobile communication
5G networks
Atmospheric measurements
beamforming
direction-of-departure
extended Kalman filter
line-of-sight
localization
location-awareness
Noise measurement
Particle measurements
positioning
Power measurement
RSRP
tracking
US Department of Defense
Wireless communication
Online Access:Request full text
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Summary:This paper considers direction-finding in millimeter wave (mmW) fifth generation (5G) networks by means of beam-based downlink (DL) reference signal received power (RSRP) measurements and subsequent reporting. In particular, we propose two methods that allow user equipments (UEs) to select, in an independent and dynamic manner, the most-relevant beam-RSRP (BRSRP) measurements as a trade-off between angle-related information and load of the feedback channel. A likelihood ratio (LR)-test is derived in which the hypothesis for "noise-only" BRSRP measurement is compared to that of "reference signal (RS)-plus-noise" observations, under a given significance level. A power threshold based method is also proposed in which the BRSRP measurements are compared to a threshold proportional to the noise power. Such a noise variance is estimated at each UE independently. The performance of the proposed beam selection schemes is assessed by means of an extended Kalman filter (EKF) tracking the direction of departure (DoD) of the line-of-sight (LoS) path between base stations (BSs) and a UE. Extensive numerical results are provided on a realistic mmW 5G outdoor deployment scenario operating at 39 GHz and with a ray-tracing propagation model based on the METIS Madrid grid.
ISSN:2471-917X
DOI:10.1109/IPIN.2018.8533735