V2X-Communication Assisted Interference Minimization for Automotive Radars  

作　　者：Jingxuan Huang Zesong Fei Tianxiong Wang Xinyi Wang Fan Liu Haijun Zhou J.Andrew Zhang Guohua Wei 

机构地区：[1]School of Information and Electronics,Beijing Institute of Technology,Beijing 100081,China [2]State Key Laboratory of Wireless Mobile Communications,China Academy of Telecommunications Technology(CATT),Beijing 100083,China [3]Department of Electronic and Electrical Engineering,University College London,London WC1E 7JE,U.K. [4]University of Technology Sydney,Sydney,NSW 2007,Australia

出　　处：《China Communications》2019年第10期100-111,共12页中国通信（英文版）

基　　金：support by China Information Communication Technologies Group Corporation;supported in part by Chinese Ministry of Education-China Mobile Communication Corporation Research Fund under Grant MCM20170101;the European Union’s Horizon 2020 research and innovation programme under the Marie Skldowska-Curie Grant Agreement No.793345

摘　　要：With the development of automated driving vehicles, more and more vehicles will be fitted with more than one automotive radars, and the radar mutual interference will become very significant. Vehicle to everything (V2X) communication is a potential way for coordinating automotive radars and reduce the mutual interference. In this paper, we analyze the positional relation of the two radars that interfere with each other, and evaluate the mutual interference for different types of automotive radars based on Poisson point process (PPP). We also propose a centralized framework and the corresponding algorithm, which relies on V2X communication systems to allocate the spectrum resources for automotive radars to minimize the interference. The minimum spectrum resources required for zero-interference are analyzed for different cases. Simulation results validate the analysis and show that the proposed framework can achieve near-zero-interference with the minimum spectrum resources.With the development of automated driving vehicles, more and more vehicles will be fitted with more than one automotive radars, and the radar mutual interference will become very significant. Vehicle to everything(V2X) communication is a potential way for coordinating automotive radars and reduce the mutual interference. In this paper, we analyze the positional relation of the two radars that interfere with each other, and evaluate the mutual interference for different types of automotive radars based on Poisson point process(PPP). We also propose a centralized framework and the corresponding algorithm, which relies on V2X communication systems to allocate the spectrum resources for automotive radars to minimize the interference. The minimum spectrum resources required for zero-interference are analyzed for different cases. Simulation results validate the analysis and show that the proposed framework can achieve near-zero-interference with the minimum spectrum resources.

关 键 词：automotive radars V2X communications radar interference spectrum allocation 

分 类 号：TN[电子电信]