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2022 IEEE 22nd International Conference on Communication Technology (ICCT)最新文献

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Research on Time Synchronization System of Wireless Network 无线网络时间同步系统的研究
Pub Date : 2022-11-11 DOI: 10.1109/ICCT56141.2022.10073420
Zhen Liao, Mingze Xu
With the rapid development of wireless network, the requirement of time accuracy has become higher for every node in network. Thus, the high precision time synchronization is an important condition to ensure the high-quality service of wireless network. In order to meet the requirement of time synchronization, the research of wireless timing technology has drawn the attention. In the time synchronization system based on wireless network, due to the flexibility and convenience in different scenarios, the timing protocol can be widely used in different scenarios. However, the inherent shortcomings of wireless systems such as multipath interference also limits the further improvement of time synchronization performance. Therefore, this paper proposes an enhanced timestamp algorithm and its implementation scheme to solve the problem of the time synchronization system's accuracy in the wireless network. The proposed scheme can estimate the timestamp of physical layer in the time synchronization protocol through the synchronization sequence in the wireless system, and improve the sampling accuracy of the timestamp through the iterative algorithm based on the correlation window. Finally, according to the experimental results, this paper shows the performance of the enhanced algorithm and the traditional method, which can prove the proposed algorithm can solve the inherent problems of wireless channel and improve the accuracy of timestamp effectively.
随着无线网络的快速发展,对网络中各个节点的时间精度要求越来越高。因此,高精度的时间同步是保证无线网络高质量服务的重要条件。为了满足时间同步的要求,无线定时技术的研究引起了人们的关注。在基于无线网络的时间同步系统中,由于在不同场景下的灵活性和方便性,定时协议可以广泛应用于不同的场景。然而,无线系统固有的多径干扰等缺点也限制了时间同步性能的进一步提高。为此,本文提出了一种增强型时间戳算法及其实现方案,以解决无线网络中时间同步系统的准确性问题。该方案通过无线系统中的同步序列对时间同步协议中的物理层时间戳进行估计,并通过基于相关窗口的迭代算法提高时间戳的采样精度。最后,根据实验结果,对比了改进算法与传统算法的性能,证明了该算法能够有效地解决无线信道固有的问题,提高时间戳的精度。
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引用次数: 0
Research on Terminal Fingerprint Extraction and Temperature Adaptability Based on CAN Bus 基于CAN总线的终端指纹提取及温度自适应研究
Pub Date : 2022-11-11 DOI: 10.1109/ICCT56141.2022.10073172
Wei Fang, Jiabao Yu, Yanjun Ding, Xiaozhong Hu, Sheng Li, Aiqun Hu
Controller Area Network (CAN) is a bus standard commonly used in the automotive industry. A large number of researches have been carried out on the identity authentication and intrusion detection technology of the in-vehicle network for attacks. This paper presents a method to extract the voltage of CAN bus terminal to obtain the equipment fingerprint. The method identifies different ECUs by measuring the voltage difference on the vehicle network, selects features only from the time domain and detects based on a single frame. This paper mainly focuses on the influence of temperature on the fingerprint of CAN bus terminal. By using a high and low temperature test chamber to simulate different temperature environments during vehicle operation, a large number of CAN frames have been collected for fingerprint extraction. By studying the relationship between temperature and CAN bus terminal fingerprint, the influence of temperature on fingerprint has been compensated. After temperature linear compensation, the recognition rate of voltage-based CAN bus terminal fingerprint extraction increases from 71.2% to 87.6% at 0–80 °C.
控制器局域网(CAN)是汽车工业中常用的总线标准。针对车载网络攻击的身份认证和入侵检测技术已经进行了大量的研究。提出了一种提取CAN总线终端电压以获取设备指纹的方法。该方法通过测量车辆网络上的电压差来识别不同的ecu,仅从时域中选择特征,并基于单帧进行检测。本文主要研究温度对CAN总线终端指纹的影响。利用高低温试验箱模拟车辆运行过程中不同的温度环境,采集了大量CAN帧进行指纹提取。通过研究温度与CAN总线终端指纹的关系,补偿了温度对指纹的影响。温度线性补偿后,电压型CAN总线终端指纹提取在0 ~ 80℃的识别率由71.2%提高到87.6%。
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引用次数: 1
YOLOMask: Real-time Instance Segmentation With Integrating YOLOv5 and OrienMask YOLOv5和OrienMask集成的实时实例分割
Pub Date : 2022-11-11 DOI: 10.1109/ICCT56141.2022.10073387
Yang Wang, Zhikui Ouyang, Runhua Han, Zhijian Yin, Zhen Yang
In this paper, we propose a real-time framework for instance segmentation, which we call YOLOMask and which builds on the real-time project OrienMask. In YOLOMask, we integrate the YOLOv5 object detection framework with the OrienMask instance segmentation framework to form a new real-time instance segmentation framework and we integrate CBAM into YOLOMask, which can help the network to find regions of interest in images with large area coverage. Using this method, our YOLOMask can achieve 47.8/44.3 msak/box AP on Pascal 2012 SBD dataset evaluated at 84.3 fps with a V100 GPU. Compared to OrienMask, YOLOMask improves box AP by about 5.8% and mask AP by 4.5%, which is encouraging and competitive. Given its simplicity and efficiency, we hope that our YOLOMask can serve as a simple but strong baseline for a variety of instance-wise prediction tasks.
在本文中,我们提出了一个实例分割的实时框架,我们称之为YOLOMask,它建立在实时项目OrienMask的基础上。在YOLOMask中,我们将YOLOv5目标检测框架与OrienMask实例分割框架相结合,形成新的实时实例分割框架,并将CBAM集成到YOLOMask中,可以帮助网络在大面积覆盖的图像中找到感兴趣的区域。使用这种方法,我们的YOLOMask可以在Pascal 2012 SBD数据集上实现47.8/44.3 msak/box AP,在V100 GPU上以84.3 fps进行评估。与OrienMask相比,YOLOMask将box AP提高了约5.8%,mask AP提高了4.5%,这是令人鼓舞和具有竞争力的。考虑到它的简单性和效率,我们希望我们的YOLOMask可以作为各种实例预测任务的简单但强大的基线。
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引用次数: 0
WiFi Fingerprint-Based Multi-user Localization for Smart Home by WiFi Sensing 基于WiFi指纹的WiFi传感智能家居多用户定位
Pub Date : 2022-11-11 DOI: 10.1109/ICCT56141.2022.10072722
Jianyang Ding, Yong Wang, Shaozhong Fu, H. Chen, Wendong Xie, Yunsong Liu
Device-free and passive indoor localization based on WiFi channel state information (CSI) has attracted a great deal of research interest and yielded a broad range of related applications. However, most of existing approaches are influenced heavily by random noises, and also they fail in the presence of multiple users in the same area. In this paper, we present an accurate indoor localization scheme for multiple users using BP neural network deployed on commodity WiFi. To this end, this proposed approach mainly exploits three key techniques. Firstly, we carry out data preprocessing to obtain informative signals and then eliminate the random noises present in CSI measurements. Secondly, feature extraction is conducted to characterize multi-user profiles through combining data fusion and singular value decomposition (SVD) methods. Finally, BP neural networks is introduced to learn these features extracted and realizes the goal of multi-user localization. Furthermore, we implement the proposed approach on a set of WiFi devices and further evaluate it in typical indoor scenario. The experimental results relying on real-world data show that this approach can achieve a satisfactory performance in multi-user localization compared with existing approaches.
基于WiFi信道状态信息(CSI)的无设备无源室内定位引起了广泛的研究兴趣,并产生了广泛的相关应用。然而,现有的大多数方法受随机噪声的影响较大,并且在同一区域有多个用户存在时失败。本文提出了一种基于商用WiFi的多用户室内精确定位方案。为此,本文提出的方法主要利用了三个关键技术。首先,我们对数据进行预处理以获得信息信号,然后消除CSI测量中存在的随机噪声。其次,结合数据融合和奇异值分解(SVD)方法对多用户轮廓进行特征提取;最后,引入BP神经网络对提取的特征进行学习,实现多用户定位的目标。此外,我们在一组WiFi设备上实现了所提出的方法,并在典型的室内场景下进行了进一步的评估。基于实际数据的实验结果表明,与现有方法相比,该方法在多用户定位中取得了令人满意的性能。
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引用次数: 0
A Fuzzy Logic System-Based Multidimensional Integrated Routing and Wavelength Assignment Method in Optical Network-on-Chip (ONoC) 基于模糊逻辑系统的片上光网络多维集成路由与波长分配方法
Pub Date : 2022-11-11 DOI: 10.1109/ICCT56141.2022.10072477
Jiahe Zhao, Hui Li, Feiyang Liu
In Optical Network-on-Chip (ONoC), both routing and wavelength assignment have an impact on the Optical Signal-to-Noise (OSNR), which further influence the power efficiency and scalability. In this work, we propose a multidimensional Integrated RWA method based on the fuzzy logic system (named as I-RWA) which considers routing and wavelength assignment. OSNR, traffic distribution, waiting delay and wavelength utilization are taken into consideration at the same time. The effect of wavelength assignment on OSNR is also discussed. The evaluation results show that the proposed method I-RWA can obtain the best performance in OSNR and is feasible to be adapted for other more performance factors.
在光片上网络(ONoC)中,路由和波长分配都会影响光信噪比(OSNR),进而影响功率效率和可扩展性。在这项工作中,我们提出了一种基于模糊逻辑系统的多维集成RWA方法(称为I-RWA),该方法考虑了路由和波长分配。同时考虑了OSNR、业务分布、等待时延和波长利用率。讨论了波长分配对OSNR的影响。评价结果表明,所提出的I-RWA方法在OSNR条件下能获得最佳性能,并且适用于其他更多性能因素。
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引用次数: 1
OTFS-Based Communication and Navigation Integrated Signal Transmission for LEO Satellites 基于otfs的低轨道卫星通信导航综合信号传输
Pub Date : 2022-11-11 DOI: 10.1109/ICCT56141.2022.10073440
Yue Li, Guomei Zhang, Jiayue Yu, Guobing Li, Yiheng Li
To get higher utilization efficiency of spectrum and orbits in low earth orbit (LEO) satellite system, satellite communication and navigation integration has become a search hotspot recently. Because orthogonal time frequency space (OTFS) modulation can reduce the effect of time-frequency doubly selective channels between the LEO satellite and earth, an OTFS-based communication and navigation integrated scheme is studied in this paper. First, a hybrid modulation constellation by superimposing quadrature amplitude modulation (QAM) and dual-code alternating binary offset carrier (AltBOC) modulation is proposed to realize signal integration of two systems. Second, a serial interference cancellation (SIC) detector is designed to separate two signals. In addition, a direct path time delay estimator based on pseudo-range code measurement is designed. What's more, the BER performance of the integrated signal is derived. Simulation results demonstrates that the proposed scheme has the lower BER and the higher localization accuracy than the baseline method under a LEO scenario with doubly selective channel.
为了提高近地轨道卫星系统的频谱和轨道利用效率,卫星通信导航一体化已成为近年来研究的热点。由于正交时频空间(OTFS)调制可以降低低轨道卫星与地球间时频双选择信道的影响,本文研究了一种基于OTFS的通信导航组合方案。首先,提出了正交调幅(QAM)和双码交替二进制偏移载波(AltBOC)调制叠加的混合调制星座,实现了两系统的信号集成;其次,设计了串行干扰消除(SIC)检测器来分离两个信号。此外,设计了一种基于伪距离码测量的直接路径时延估计器。并推导了集成信号的误码率性能。仿真结果表明,在具有双选择信道的低轨道情况下,该方案比基线方法具有更低的误码率和更高的定位精度。
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引用次数: 0
Decentralized Recursive MMSE Equalizer for Massive MIMO Systems 大规模MIMO系统的分散递归MMSE均衡器
Pub Date : 2022-11-11 DOI: 10.1109/ICCT56141.2022.10072778
Kang Zheng, Hao Gao, Shuai Cui, Jiaheng Wang, Yongming Huang
In massive multiple-input multiple-output (MIMO) systems, linear equalizers such as zero-forcing (ZF) and minimum mean-square error (MMSE) equalizers are often used and implemented in a centralized way. As the antenna number increases, the centralized equalization requires a huge data exchange rate as well as intensive central processing capability. Decentralized equalization can alleviate this bottleneck by partitioning the antenna array into multiple clusters and conducting equalization separately and locally. In this paper, we design a decentralized MMSE equalizer based on the chain architecture. The proposed equalizer is conducted in a recursive manner through a chain and generates a sequence of estimated signals that converge to the MMSE solution. Furthermore, we also propose an early termination strategy according to channel quality, thus reducing complexity and data exchange rate. Simulation results illustrate that the proposed recursive MMSE equalizer outperforms the existing decentralized equalizer, and achieves the same BER performance as the centralized MMSE equalizer with a lower data exchange rate.
在大规模多输入多输出(MIMO)系统中,线性均衡器如零强迫(ZF)和最小均方误差(MMSE)均衡器通常被集中使用和实现。随着天线数量的增加,集中式均衡需要庞大的数据交换速率和密集的中央处理能力。分散均衡可以通过将天线阵列划分为多个簇,并单独地和局部地进行均衡来缓解这一瓶颈。本文设计了一种基于链结构的去中心化MMSE均衡器。所提出的均衡器以递归方式通过链进行,并生成收敛到MMSE解决方案的估计信号序列。此外,我们还根据信道质量提出了一种早期终止策略,从而降低了复杂性和数据交换速率。仿真结果表明,所提出的递归MMSE均衡器优于现有的分散式均衡器,在较低的数据交换速率下实现了与集中式MMSE均衡器相同的误码率性能。
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引用次数: 0
CGA Configuration Detection Method of IPv6 Nodes by Combining Active Probing with Passive Sniffing 主动探测与被动探测相结合的IPv6节点CGA配置检测方法
Pub Date : 2022-11-11 DOI: 10.1109/ICCT56141.2022.10072432
Liancheng Zhang, Jianping Sun, Juwei Yan, Yi Guo, Lanxin Cheng, Wenwen Du
To ensure the security of neighbor discovery messages and processes, IPv6 subnets are increasingly deploying secure neighbor discovery (SEND) mechanisms. Although the cryptographically generated address (CGA) mechanism is the operating basis of the SEND mechanism, there is currently no technology or method for CGA configuration detection. To this end, the difficult problems lacking of CGA configuration detection method (such as the constraints caused by built-in neighbor discovery mechanism, identification of different SEND transition scenes, IPv6 address transformation) are analyzed through the in-depth analysis of the SEND mechanism and the CGA mechanism. Moreover, a CGA configuration detection method of IPv6 nodes by combining active probing and passive sniffing (CCD6-APPS) is proposed. Based on active probing and passive sniffing of active IPv6 nodes in the target IPv6 subnet, the proposed CCD6-APPS method can learn the SEND implementation methods and CGA configuration parameters of IPv6 nodes, and finally detect the coverage of SEND nodes in the target IPv6 subnet. By setting up a typical IPv6 neighbor discovery experimental environment and conducting targeted tests, the experimental results prove the effectiveness of the SSD6-APPS method, and the additional impact on the target IPv6 subnet is very small.
为了保证邻居发现消息和进程的安全,IPv6子网中越来越多地部署了SEND (secure neighbor discovery)机制。虽然加密生成地址(cryptographic generated address, CGA)机制是SEND机制的运行基础,但是目前还没有CGA配置检测的技术和方法。为此,通过对SEND机制和CGA机制的深入分析,分析了CGA配置检测方法缺乏的难点问题(如内置邻居发现机制带来的约束、不同SEND转换场景的识别、IPv6地址转换等)。提出了一种主动探测与被动嗅探相结合的IPv6节点CGA配置检测方法(CCD6-APPS)。本文提出的CCD6-APPS方法通过对目标IPv6子网内的主动IPv6节点进行主动探测和被动嗅探,学习IPv6节点的SEND实现方法和CGA配置参数,最终检测目标IPv6子网内SEND节点的覆盖情况。通过搭建一个典型的IPv6邻居发现实验环境并进行针对性的测试,实验结果证明了SSD6-APPS方法的有效性,并且对目标IPv6子网的附加影响很小。
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引用次数: 0
A Frequency Offset Independent Timing Synchronization Method for 5G Integrated LEO Satellite Communication System 一种5G低轨卫星综合通信系统的频偏独立定时同步方法
Pub Date : 2022-11-11 DOI: 10.1109/ICCT56141.2022.10073207
Zijian Zhang, Dongdong Wang, Lizhe Liu, Bin Wang, Chenhua Sun
In this paper, a frequency offset independent timing synchronization method is proposed to solve the large frequency offset problem for the 5G integrated low-earth-orbits (LEO) satellite communication (SatCom) system. Firstly, a frequency offset independent timing metric is designed. Without changing the frame structure of NR and based on the conjugate symmetry of the primary synchronization signal (PSS) time-domain sequence, the received PSS sequence times its time-inverse sequence to construct a product sequence, each element of which has the same phase. And the phase can be canceled by the absolute value operation. Secondly, a delay-superposition method is used to improve the performance of the designed timing metric. The detection threshold can be improved further by accumulating the correlation peak value of each PSS in the SSB burst, and the number of superpositions can be selected flexibly to adapt the link-budget of the LEO SatCom system. The simulation results show that the proposed method maintains a high detection probability with increase of the frequency offset. Compared with the M-part PSS cross-correlation algorithm, the proposed method can improve 49% detection probability at −6dB when the frequency offset is as large as 600kHz.
针对5G低地球轨道卫星通信(SatCom)综合系统存在的频偏较大的问题,提出了一种与频偏无关的定时同步方法。首先,设计了与频偏无关的时序度量。在不改变NR帧结构的前提下,基于主同步信号(PSS)时域序列的共轭对称性,将接收到的PSS序列与主同步信号的时间逆序列相乘,得到各元素相位相同的乘积序列。相位可以通过绝对值运算消去。其次,采用延迟叠加的方法改进了所设计的时序度量的性能。通过累积SSB突发中各PSS的相关峰值,进一步提高检测阈值,并可灵活选择叠加次数,以适应LEO卫星通信系统的链路预算。仿真结果表明,随着频偏的增大,该方法仍能保持较高的检测概率。与m部分PSS互相关算法相比,当频偏高达600kHz时,该方法在- 6dB时的检测概率提高了49%。
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引用次数: 0
Dynamic Resource Allocation Algorithm under Visible Light Communication and WiFi Heterogeneous Network 可见光通信和WiFi异构网络下的动态资源分配算法
Pub Date : 2022-11-11 DOI: 10.1109/ICCT56141.2022.10072825
Liwei Yang, Boyu Jia, Fang Wang, J. Kang
Resource management is the key to improving the performance of visible optical communication (VLC)/WiFi heterogeneous networks. An improved dynamic proportional fairness algorithm is proposed to enhance the fairness of the system. Each round of scheduling compensates for user latency characteristics and jointly allocates resources. Simulation results show that the algorithm enhances fairness and throughput, with broader applications in heterogeneous networks.
资源管理是提高可见光通信/WiFi异构网络性能的关键。为了提高系统的公平性,提出了一种改进的动态比例公平性算法。每轮调度补偿用户延迟特性,共同分配资源。仿真结果表明,该算法提高了公平性和吞吐量,在异构网络中具有广泛的应用前景。
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引用次数: 0
期刊
2022 IEEE 22nd International Conference on Communication Technology (ICCT)
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