波束赋形
计算机科学
电信线路
雷达
卡尔曼滤波器
实时计算
通信系统
吞吐量
扩展卡尔曼滤波器
电子工程
无线
计算机网络
人工智能
工程类
电信
作者
Fan Liu,Weijie Yuan,Christos Masouros,Jinhong Yuan
出处
期刊:Cornell University - arXiv
日期:2020-01-25
被引量:3
标识
DOI:10.48550/arxiv.2001.09306
摘要
In vehicular networks of the future, sensing and communication functionalities will be intertwined. In this paper, we investigate a radar-assisted predictive beamforming design for vehicle-to-infrastructure (V2I) communication by exploiting the dual-functional radar-communication (DFRC) technique. Aiming for realizing joint sensing and communication functionalities at road side units (RSUs), we present a novel extended Kalman filtering (EKF) framework to track and predict kinematic parameters of each vehicle. By exploiting the radar functionality of the RSU we show that the communication beam tracking overheads can be drastically reduced. To improve the sensing accuracy while guaranteeing the downlink communication sum-rate, we further propose a power allocation scheme for multiple vehicles. Numerical results have shown that the proposed DFRC based beam tracking approach significantly outperforms the communication-only feedback based technique in the tracking performance. Furthermore, the designed power allocation method is able to achieve a favorable performance trade-off between sensing and communication.
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