Research Article
Location-Based Multi-site Coordination Beam Tracking for Vehicle mmWave Communications
@INPROCEEDINGS{10.1007/978-3-030-67720-6_19, author={Xingwen He and Danpu Liu and Zhilong Zhang}, title={Location-Based Multi-site Coordination Beam Tracking for Vehicle mmWave Communications}, proceedings={Communications and Networking. 15th EAI International Conference, ChinaCom 2020, Shanghai, China, November 20-21, 2020, Proceedings}, proceedings_a={CHINACOM}, year={2021}, month={2}, keywords={Beam tracking Vehicle network Multi-site Extended Kalman filter Uniform planar array Handover}, doi={10.1007/978-3-030-67720-6_19} }- Xingwen He
Danpu Liu
Zhilong Zhang
Year: 2021
Location-Based Multi-site Coordination Beam Tracking for Vehicle mmWave Communications
CHINACOM
Springer
DOI: 10.1007/978-3-030-67720-6_19
Abstract
Millimeter wave (mmWave) system with massive multiple input multiple output (mMIMO) meets increasing data traffic requirements. However, fast beam tracking for vehicles with high mobility causes enormous overhead, especially in an ultra-dense network (UDN) with frequently base station (BS) handover. In this paper, we proposed a multi-site coordination beam tracking scheme utilizing the spatial correlation of channel state information (CSI) among different sites to reduce the signaling overhead for beam training and handover. The scenario is a hyper-cellular network (HCN) with one control-BS (CBS) and multiple traffic-BSs (TBSs). The proposed scheme consists of two stages. In the first stage, more accurate position measurement of the moving user equipment (UE) can be achieved by using uniform planar array (UPA), and Extended Kalman Filter (EKF) is exploited in CBS to predict the UE’s location in the next slot. In the second stage, the relationship between multi-site and UE’s location is used by the CBS to remotely infer the candidate beam between each TBS and the UE, and make a TBS handover decision when necessary. Given that it is the CBS in charge of beam tracking between all the TBSs and the UE centrally, the overhead for beam training and handover are both efficiently reduced. Simulation results based on realistic 3D scenario show that the proposed scheme can achieve 99% of the optimal spectral efficiency with fewer overhead for beam sweeping and handover signaling.
