A Millimeter Wave Beam Tracking in Vehicular Scenario via Particle Filter

Citations

SCOPUS

12

초록

Mobility tracking has been highlighted as one of the key issues in millimeter wave communication. Although several beam tracking algorithms have been proposed to improve mobility tracking, these algorithms suffer high complexity. In this paper, we propose a low complexity beam tracking protocol via particle filter. In the proposed algorithm, a single beam pair is trained to track a path by exploiting the location information of the mobile station. We investigate several effects on the performance of the proposed tracking algorithm, such as the signal-to-noise ratio (SNR) and the array size of the base station antennas. It is observed that as the signal-to-noise ratio and the array size increases, the beam tracking performance improves.

키워드

analog beamformingbeam alignmentBeam trackingmillimeter wavemobility modelparticle filterBeam forming networksComplex networksComputational complexityDigital integrated circuitsMicrowave filtersMillimeter wavesMonte Carlo methodsParticle beam trackingTracking (position)Analog beamformingBase station antennasBeam alignmentsLocation informationMillimeter-wave beamsMillimeter-wave communicationMobility modelParticle filterSignal to noise ratio
제목
A Millimeter Wave Beam Tracking in Vehicular Scenario via Particle Filter
저자
Kang, JeongwanOrikumhi, IgbafePark, Young-MiKim, Sunwoo
DOI
10.1109/ICNIDC.2018.8525655
발행일
2018-11
유형
Conference Paper
저널명
Proceedings of 2018 6th IEEE International Conference on Network Infrastructure and Digital Content, IC-NIDC 2018
페이지
234 ~ 238