车联网(Vehicle to Everything,V2X)通信被认为是未来无线通信网络最重要的应用之一。然而,车辆在高速移动时引起的高多普勒频移会严重恶化V2X通信链路的性能。正交时频空(Orthogonal Time Frequency Space,OTFS)调制技术可以将时间和...车联网(Vehicle to Everything,V2X)通信被认为是未来无线通信网络最重要的应用之一。然而,车辆在高速移动时引起的高多普勒频移会严重恶化V2X通信链路的性能。正交时频空(Orthogonal Time Frequency Space,OTFS)调制技术可以将时间和频率选择性信道转换为时延-多普勒(Delay-Doppler,DD)域的非选择性信道,从而显著提高无线通信系统在高移动性场景下的性能,在V2X通信中具有重要的应用价值。但OTFS调制技术极大地增加了系统接收端的复杂度,研究低复杂度信号检测算法成为了新一代无线通信系统采用OTFS调制的关键问题之一。为此,综述了面向车联网V2X通信的OTFS信号检测算法。首先介绍了OTFS系统模型,然后概述了现有的低复杂度OTFS信号检测算法,并将其分为线性检测算法、消息传递(Message Passing,MP)检测算法及其改进算法、基于神经网络的检测算法3类,最后探讨了V2X通信中OTFS信号检测目前所面临的技术挑战与未来的发展趋势。展开更多
正交时频空(Orthogonal Time Frequency Space, OTFS)调制技术凭借对多普勒频移的优良抗性,保证了高动态场景下的可靠性通信。与大多数OTFS信号检测方案相比,基于深度学习(Deep Learning, DL)的OTFS检测器不需要耗费高额的导频能量,以...正交时频空(Orthogonal Time Frequency Space, OTFS)调制技术凭借对多普勒频移的优良抗性,保证了高动态场景下的可靠性通信。与大多数OTFS信号检测方案相比,基于深度学习(Deep Learning, DL)的OTFS检测器不需要耗费高额的导频能量,以此获得精确的信道状态信息。基于多维输入的卷积神经网络(Convolutional Neural Networks, CNN)和一维输入的深度神经网络(Deep Neural Networks, DNN),搭建了OTFS信号检测模型,并结合OTFS的输入输出关系,以模型驱动,提出一种部分输入方法。与数据驱动DL相比,该方法沿时延轴截断输入数据,仅向网络输入与待检测信号相关性强的部分接收信号。该方法不仅减小了数据驱动CNN和DNN的训练参数量,降低了训练复杂度,而且检测性能也不弱于传统的线性最小均方误差(Linear Minimum Mean Square Error, LMMSE)算法。展开更多
在未来的通信网络中,被广泛期待的第6代移动通信系统(The Sixth Generation of Mobile Communications System,6G)技术将面临诸多挑战,其中包括在高速移动场景下的超高可靠通信问题。正交时频空间(Orthogonal Time Frequency Space,OTFS...在未来的通信网络中,被广泛期待的第6代移动通信系统(The Sixth Generation of Mobile Communications System,6G)技术将面临诸多挑战,其中包括在高速移动场景下的超高可靠通信问题。正交时频空间(Orthogonal Time Frequency Space,OTFS)调制技术克服了传统通信系统在高速移动环境下多径和多普勒效应的影响,为实现6G超高可靠通信提供了新的可能性。该文首先介绍了OTFS的基本原理、数学模型、干扰与优势分析。然后,归纳分析了OTFS技术在同步、信道估计、信号检测技术上的研究现状。接着,从车联网、无人机、卫星通信、海洋通信4个典型应用场景分析了OTFS的应用趋势。最后,从降低多维匹配滤波器、相位解调和信道估计、硬件实现的复杂度和提高对时频资源的高度利用4个角度探讨了未来研究OTFS需要克服的困难和挑战。展开更多
The orthogonal time frequency space(OTFS)modulation proposed in recent years is considered to have superior performance than orthogonal frequency division multiplexing(OFDM)for the doubly selective(DS)channels.The wor...The orthogonal time frequency space(OTFS)modulation proposed in recent years is considered to have superior performance than orthogonal frequency division multiplexing(OFDM)for the doubly selective(DS)channels.The works in the existing literature on OTFS mainly focus on the cases where the channels are underspread(i.e.,the product of the delay spread and the Doppler spread is less than 1).In the scenario of overspread DS channel,which has large delay spread and severe Doppler spread,such as underwater acoustic(UWA)channel,the channel model in delay-Doppler(DD)Domain derived by existing work is no longer applicable.In this paper,we derive a more generalized expression of the channel model in delay-Doppler domain,which allows the product of the delay spread and Doppler spread to be larger than1.The result shows that the existing channel model is just a special case of the one we proposed.Using the proposed channel matrix in DD domain,we build the OTFS detectors with the minimum mean square error(MMSE)and message passing(MP)algorithms on overspread doubly selective channel.Finally,simulation results are presented to verify the theoretical derivation and the effectiveness of the detectors.展开更多
In this paper,efficient signal detectors are designed for Orthogonal Time Frequency Space(OTFS)modulation with Index Modulation(IM)systems.Firstly,the Minimum Mean Squared Error(MMSE)based linear equalizer and its cor...In this paper,efficient signal detectors are designed for Orthogonal Time Frequency Space(OTFS)modulation with Index Modulation(IM)systems.Firstly,the Minimum Mean Squared Error(MMSE)based linear equalizer and its corresponding soft-aided decision are studied for OTFS-IM.To further improve the performance,a Vectorby-Vector-aided Message Passing(VV-MP)detector and its associated soft-decision are proposed,where each IM symbol is considered an entire vector utilized for message calculation and passing.Simulation results are shown that the OTFS-IM system relying on the proposed detectors is capable of providing considerable Bit Error Rate(BER)performance gains over the OTFS and Orthogonal Frequency Division Multiplex(OFDM)with IM systems.展开更多
Orthogonal time frequency space(OTFS)technique, which modulates data symbols in the delayDoppler(DD) domain, presents a potential solution for supporting reliable information transmission in highmobility vehicular net...Orthogonal time frequency space(OTFS)technique, which modulates data symbols in the delayDoppler(DD) domain, presents a potential solution for supporting reliable information transmission in highmobility vehicular networks. In this paper, we study the issues of DD channel estimation for OTFS in the presence of fractional Doppler. We first propose a channel estimation algorithm with both low complexity and high accuracy based on the unitary approximate message passing(UAMP), which exploits the structured sparsity of the effective DD domain channel using hidden Markov model(HMM). The empirical state evolution(SE) analysis is then leveraged to predict the performance of our proposed algorithm. To refine the hyperparameters in the proposed algorithm,we derive the update criterion for the hyperparameters through the expectation-maximization(EM) algorithm. Finally, Our simulation results demonstrate that our proposed algorithm can achieve a significant gain over various baseline schemes.展开更多
5G技术的发展为车辆通信感知提供了更多可能性,结合案例探讨正交时频空间(orthogonal time frequency space,OTFS)技术在车辆通信感知中的应用,实现车辆远程驾驶的基本目标。从车联网通信系统调制角度出发,建立系统架构,分析感知一体化...5G技术的发展为车辆通信感知提供了更多可能性,结合案例探讨正交时频空间(orthogonal time frequency space,OTFS)技术在车辆通信感知中的应用,实现车辆远程驾驶的基本目标。从车联网通信系统调制角度出发,建立系统架构,分析感知一体化技术的实现过程。研究结果表明,将OTFS技术应用到车联网通信中能够应对车辆行驶过程中复杂的环境变化,使得信号传输控制更加精确、平稳。展开更多
针对单导频结构的正交时频空(orthogonal time frequency and space,OTFS)调制系统接收信号特性,提出了一种基于时延-多普勒域的帧同步算法,该算法无须在发送信号中插入前导码,而是利用单导频OTFS帧结构特征,通过计算接收信号在时延-多...针对单导频结构的正交时频空(orthogonal time frequency and space,OTFS)调制系统接收信号特性,提出了一种基于时延-多普勒域的帧同步算法,该算法无须在发送信号中插入前导码,而是利用单导频OTFS帧结构特征,通过计算接收信号在时延-多普勒域的稀疏度并结合单导频位置的变化对帧同步位置进行判断。仿真实验结果表明,所提方案在高信噪比下有一定性能优势,且随着移动速度的增加,所提方案相较于对比方案的性能优势更加明显,因此,更适合应用于高速甚至超高速移动通信场景中。展开更多
针对正交时频空(Orthogonal Time Frequency Space,OTFS)通信系统信号检测复杂度高的问题,提出一种改进的高斯近似消息传递(Gaussian Approximate Message Passing,GA-MP)检测算法。依据最大后验概率检测准则,对发送信号及隐变量进行逐...针对正交时频空(Orthogonal Time Frequency Space,OTFS)通信系统信号检测复杂度高的问题,提出一种改进的高斯近似消息传递(Gaussian Approximate Message Passing,GA-MP)检测算法。依据最大后验概率检测准则,对发送信号及隐变量进行逐符号高斯近似,基于置信传播算法与联合因子图进行消息传递,用边缘后验概率替代GA-MP中的外部信息以减少运算量,结合阻尼因子提升收敛速度,同时引入概率阈值减少后续更新的节点数,从而使运算复杂度得到有效降低。实验结果表明,改进后的GA-MP算法在保证误码率性能的前提下具有更低的复杂度。展开更多
太赫兹(Terahertz,THz)通信在6G网络中展现了潜在的重要性,具有高传输速率、强抗干扰能力和易于信号检测等优点。回顾了已有的THz信道建模工作,分析了关键参数如分子吸收效应和传播距离的早期模型,以及基于纳米网络小粒子散射效应的时...太赫兹(Terahertz,THz)通信在6G网络中展现了潜在的重要性,具有高传输速率、强抗干扰能力和易于信号检测等优点。回顾了已有的THz信道建模工作,分析了关键参数如分子吸收效应和传播距离的早期模型,以及基于纳米网络小粒子散射效应的时域和频域信道模型。强调了THz通信技术面临的挑战,如功率放大器效率和多普勒扩展效应,这些限制了THz的传输距离和性能。鉴于这些挑战,提出了对波形设计的新要求,对增强正交时频空(Orthogonal Time Frequency Space,OTFS)波形进行了设计和研究,以减少高速移动带来的多普勒效应,搭建物理层仿真链路模型测量改进OTFS的性能。通过仿真和性能比较,展示了所提增强OTFS波形相对于传统波形的优越性。展开更多
文摘车联网(Vehicle to Everything,V2X)通信被认为是未来无线通信网络最重要的应用之一。然而,车辆在高速移动时引起的高多普勒频移会严重恶化V2X通信链路的性能。正交时频空(Orthogonal Time Frequency Space,OTFS)调制技术可以将时间和频率选择性信道转换为时延-多普勒(Delay-Doppler,DD)域的非选择性信道,从而显著提高无线通信系统在高移动性场景下的性能,在V2X通信中具有重要的应用价值。但OTFS调制技术极大地增加了系统接收端的复杂度,研究低复杂度信号检测算法成为了新一代无线通信系统采用OTFS调制的关键问题之一。为此,综述了面向车联网V2X通信的OTFS信号检测算法。首先介绍了OTFS系统模型,然后概述了现有的低复杂度OTFS信号检测算法,并将其分为线性检测算法、消息传递(Message Passing,MP)检测算法及其改进算法、基于神经网络的检测算法3类,最后探讨了V2X通信中OTFS信号检测目前所面临的技术挑战与未来的发展趋势。
文摘在未来的通信网络中,被广泛期待的第6代移动通信系统(The Sixth Generation of Mobile Communications System,6G)技术将面临诸多挑战,其中包括在高速移动场景下的超高可靠通信问题。正交时频空间(Orthogonal Time Frequency Space,OTFS)调制技术克服了传统通信系统在高速移动环境下多径和多普勒效应的影响,为实现6G超高可靠通信提供了新的可能性。该文首先介绍了OTFS的基本原理、数学模型、干扰与优势分析。然后,归纳分析了OTFS技术在同步、信道估计、信号检测技术上的研究现状。接着,从车联网、无人机、卫星通信、海洋通信4个典型应用场景分析了OTFS的应用趋势。最后,从降低多维匹配滤波器、相位解调和信道估计、硬件实现的复杂度和提高对时频资源的高度利用4个角度探讨了未来研究OTFS需要克服的困难和挑战。
基金supported by National Natural Science Foundation of China(grant number 62071504)State Key Program of National Natural Science Foundation of China(grant numbers 62192712,62192711)+2 种基金Project of Science and Technology in Henan Province(grant numbers 222102210317,232102210078)Doctoral Research Foundation of Zhengzhou University of Light Industry(grant number 2021BSJJ030)Special Projects in Key Fields for General Universities of Guangdong Province(grant num 2021ZDZX1056)。
文摘The orthogonal time frequency space(OTFS)modulation proposed in recent years is considered to have superior performance than orthogonal frequency division multiplexing(OFDM)for the doubly selective(DS)channels.The works in the existing literature on OTFS mainly focus on the cases where the channels are underspread(i.e.,the product of the delay spread and the Doppler spread is less than 1).In the scenario of overspread DS channel,which has large delay spread and severe Doppler spread,such as underwater acoustic(UWA)channel,the channel model in delay-Doppler(DD)Domain derived by existing work is no longer applicable.In this paper,we derive a more generalized expression of the channel model in delay-Doppler domain,which allows the product of the delay spread and Doppler spread to be larger than1.The result shows that the existing channel model is just a special case of the one we proposed.Using the proposed channel matrix in DD domain,we build the OTFS detectors with the minimum mean square error(MMSE)and message passing(MP)algorithms on overspread doubly selective channel.Finally,simulation results are presented to verify the theoretical derivation and the effectiveness of the detectors.
基金supported in part by the National Key Research and Development Program of China under Grant 2020YFB1807100in part by the National Natural Science Foundation of China under Grant 62001179in part by the Fundamental Research Funds for the Central Universities under Grant 2020kfyXJJS111.
文摘In this paper,efficient signal detectors are designed for Orthogonal Time Frequency Space(OTFS)modulation with Index Modulation(IM)systems.Firstly,the Minimum Mean Squared Error(MMSE)based linear equalizer and its corresponding soft-aided decision are studied for OTFS-IM.To further improve the performance,a Vectorby-Vector-aided Message Passing(VV-MP)detector and its associated soft-decision are proposed,where each IM symbol is considered an entire vector utilized for message calculation and passing.Simulation results are shown that the OTFS-IM system relying on the proposed detectors is capable of providing considerable Bit Error Rate(BER)performance gains over the OTFS and Orthogonal Frequency Division Multiplex(OFDM)with IM systems.
基金supported by the Key Scientific Research Project in Colleges and Universities of Henan Province of China(Grant Nos.21A510003)Science and the Key Science and Technology Research Project of Henan Province of China(Grant Nos.222102210053)。
文摘Orthogonal time frequency space(OTFS)technique, which modulates data symbols in the delayDoppler(DD) domain, presents a potential solution for supporting reliable information transmission in highmobility vehicular networks. In this paper, we study the issues of DD channel estimation for OTFS in the presence of fractional Doppler. We first propose a channel estimation algorithm with both low complexity and high accuracy based on the unitary approximate message passing(UAMP), which exploits the structured sparsity of the effective DD domain channel using hidden Markov model(HMM). The empirical state evolution(SE) analysis is then leveraged to predict the performance of our proposed algorithm. To refine the hyperparameters in the proposed algorithm,we derive the update criterion for the hyperparameters through the expectation-maximization(EM) algorithm. Finally, Our simulation results demonstrate that our proposed algorithm can achieve a significant gain over various baseline schemes.
文摘5G技术的发展为车辆通信感知提供了更多可能性,结合案例探讨正交时频空间(orthogonal time frequency space,OTFS)技术在车辆通信感知中的应用,实现车辆远程驾驶的基本目标。从车联网通信系统调制角度出发,建立系统架构,分析感知一体化技术的实现过程。研究结果表明,将OTFS技术应用到车联网通信中能够应对车辆行驶过程中复杂的环境变化,使得信号传输控制更加精确、平稳。
文摘针对单导频结构的正交时频空(orthogonal time frequency and space,OTFS)调制系统接收信号特性,提出了一种基于时延-多普勒域的帧同步算法,该算法无须在发送信号中插入前导码,而是利用单导频OTFS帧结构特征,通过计算接收信号在时延-多普勒域的稀疏度并结合单导频位置的变化对帧同步位置进行判断。仿真实验结果表明,所提方案在高信噪比下有一定性能优势,且随着移动速度的增加,所提方案相较于对比方案的性能优势更加明显,因此,更适合应用于高速甚至超高速移动通信场景中。
文摘针对正交时频空(Orthogonal Time Frequency Space,OTFS)通信系统信号检测复杂度高的问题,提出一种改进的高斯近似消息传递(Gaussian Approximate Message Passing,GA-MP)检测算法。依据最大后验概率检测准则,对发送信号及隐变量进行逐符号高斯近似,基于置信传播算法与联合因子图进行消息传递,用边缘后验概率替代GA-MP中的外部信息以减少运算量,结合阻尼因子提升收敛速度,同时引入概率阈值减少后续更新的节点数,从而使运算复杂度得到有效降低。实验结果表明,改进后的GA-MP算法在保证误码率性能的前提下具有更低的复杂度。
文摘太赫兹(Terahertz,THz)通信在6G网络中展现了潜在的重要性,具有高传输速率、强抗干扰能力和易于信号检测等优点。回顾了已有的THz信道建模工作,分析了关键参数如分子吸收效应和传播距离的早期模型,以及基于纳米网络小粒子散射效应的时域和频域信道模型。强调了THz通信技术面临的挑战,如功率放大器效率和多普勒扩展效应,这些限制了THz的传输距离和性能。鉴于这些挑战,提出了对波形设计的新要求,对增强正交时频空(Orthogonal Time Frequency Space,OTFS)波形进行了设计和研究,以减少高速移动带来的多普勒效应,搭建物理层仿真链路模型测量改进OTFS的性能。通过仿真和性能比较,展示了所提增强OTFS波形相对于传统波形的优越性。
