In this paper,a statistical cluster-based simulation channel model with a finite number of sinusoids is proposed for depicting the multiple-input multiple-output(MIMO)communications in vehicleto-everything(V2X)environ...In this paper,a statistical cluster-based simulation channel model with a finite number of sinusoids is proposed for depicting the multiple-input multiple-output(MIMO)communications in vehicleto-everything(V2X)environments.In the proposed sum-of-sinusoids(SoS)channel model,the waves that emerge from the transmitter undergo line-of-sight(LoS)and non-line-of-sight(NLoS)propagation to the receiver,which makes the model suitable for describing numerous V2X wireless communication scenarios for sixth-generation(6G).We derive expressions for the real and imaginary parts of the complex channel impulse response(CIR),which characterize the physical propagation characteristics of V2X wireless channels.The statistical properties of the real and imaginary parts of the complex CIRs,i.e.,autocorrelation functions(ACFs),Doppler power spectral densities(PSDs),cross-correlation functions(CCFs),and variances of ACFs and CCFs,are derived and discussed.Simulation results are generated and match those predicted by the underlying theory,demonstrating the accuracy of our derivation and analysis.The proposed framework and underlying theory arise as an efficient tool to investigate the statistical properties of 6G MIMO V2X communication systems.展开更多
为了解决Vehicle to Everything(V2X)毫米波通信系统延时高、链路易阻塞等问题,基于车辆和用户终端周围环境状态信息的感知,提出一种视觉辅助的能效最大阻塞预测方法。利用视觉感知模型实现系统对目标用户以及周围障碍物的精准感知,结...为了解决Vehicle to Everything(V2X)毫米波通信系统延时高、链路易阻塞等问题,基于车辆和用户终端周围环境状态信息的感知,提出一种视觉辅助的能效最大阻塞预测方法。利用视觉感知模型实现系统对目标用户以及周围障碍物的精准感知,结合深度强化学习设计了一种融合特征和时间注意力的DA-DBLSTM网络预测未来链路阻塞到达时间,与传统注意力相比,该融合注意力不仅可以关注每个时间单元中的不同特征,而且关注不同时间单元的时序信息,使检测效果更优。仿真和分析结果表明,提出的DA-DBLSTM网络预测链路阻塞效果明显,在均方误差(Mean Square Error,MSE)、均方根误差(Root Mean Square Error,RMSE)、平均绝对误差(Mean Absolute Error,MAE)和平均绝对百分比误差(Mean Absolute Percentage Error,MAPE)方面均优于现有方法。展开更多
车路协同是信息通信、智能汽车、交通运输和交通管理等行业深度融合的新型产业业态,处于人工智能、5G和交通三大国家战略的交汇点。5G V2X无线通信技术作为关键赋能型技术,将有助于构建“路-云-车-人-网”协同的车联网生态体系。该文首...车路协同是信息通信、智能汽车、交通运输和交通管理等行业深度融合的新型产业业态,处于人工智能、5G和交通三大国家战略的交汇点。5G V2X无线通信技术作为关键赋能型技术,将有助于构建“路-云-车-人-网”协同的车联网生态体系。该文首先介绍车路协同系统的定义、主要建设内容及其典型应用场景。其次以应用牵引,针对5G新空口-车用无线通信(NR-V2X)技术中的直连通信应用于自动驾驶场景的具体需求进行研究,给出不同业务场景下对通信性能和安全的需求说明。最后,针对车路协同系统低时延、高可靠和高并发的系统需求,分析5G NR V2X物理层、资源分配、拥塞控制和Qos与安全设计的相关原理。展开更多
基金supported by National Natural Science Foundation of China(NSFC)(No.62101274 and 62101275)Natural Science Foundation of Jiangsu Province(BK20210640)Open Research Fund of National Mobile Communications Research Laboratory Southeast University under Grant 2021D03。
文摘In this paper,a statistical cluster-based simulation channel model with a finite number of sinusoids is proposed for depicting the multiple-input multiple-output(MIMO)communications in vehicleto-everything(V2X)environments.In the proposed sum-of-sinusoids(SoS)channel model,the waves that emerge from the transmitter undergo line-of-sight(LoS)and non-line-of-sight(NLoS)propagation to the receiver,which makes the model suitable for describing numerous V2X wireless communication scenarios for sixth-generation(6G).We derive expressions for the real and imaginary parts of the complex channel impulse response(CIR),which characterize the physical propagation characteristics of V2X wireless channels.The statistical properties of the real and imaginary parts of the complex CIRs,i.e.,autocorrelation functions(ACFs),Doppler power spectral densities(PSDs),cross-correlation functions(CCFs),and variances of ACFs and CCFs,are derived and discussed.Simulation results are generated and match those predicted by the underlying theory,demonstrating the accuracy of our derivation and analysis.The proposed framework and underlying theory arise as an efficient tool to investigate the statistical properties of 6G MIMO V2X communication systems.
文摘车路协同是信息通信、智能汽车、交通运输和交通管理等行业深度融合的新型产业业态,处于人工智能、5G和交通三大国家战略的交汇点。5G V2X无线通信技术作为关键赋能型技术,将有助于构建“路-云-车-人-网”协同的车联网生态体系。该文首先介绍车路协同系统的定义、主要建设内容及其典型应用场景。其次以应用牵引,针对5G新空口-车用无线通信(NR-V2X)技术中的直连通信应用于自动驾驶场景的具体需求进行研究,给出不同业务场景下对通信性能和安全的需求说明。最后,针对车路协同系统低时延、高可靠和高并发的系统需求,分析5G NR V2X物理层、资源分配、拥塞控制和Qos与安全设计的相关原理。
