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2019 IEEE Globecom Workshops (GC Wkshps)最新文献

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Monitoring and Identification of WiFi Devices for Internet of Things Security 面向物联网安全的WiFi设备监控与识别
Pub Date : 2019-12-01 DOI: 10.1109/GCWkshps45667.2019.9024626
Yongfei Zhang, Yun Lin, Z. Dou, Meiyu Wang, Wenwen Li
WiFi is the adhesive in the Internet of Things(IoT), and most wireless devices use WiFi to access the IoT. Monitorization and identification of access WiFi devices are particularly important for the security of the IoT, especially, sensitive areas. In this context, we propose a classification framework for WiFi devices based on their Power Spectral Density(PSD) and Permutation Entropy(PE) of the preamble signal. Four WLAN cards are under test to verify our method. And the K-NN classification was used. The experimental results show that the two methods have a recognition rate of more than 90% with SNR is -5 dB.
WiFi是物联网(IoT)的粘合剂,大多数无线设备都使用WiFi接入物联网。监控和识别接入WiFi设备对于物联网的安全,特别是敏感区域的安全尤为重要。在此背景下,我们提出了一个基于前导信号的功率谱密度(PSD)和置换熵(PE)的WiFi设备分类框架。四个WLAN卡正在测试中,以验证我们的方法。采用K-NN分类。实验结果表明,两种方法的识别率均在90%以上,信噪比为-5 dB。
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引用次数: 3
Indoor Through-the-Wall Passive Human Target Detection with WiFi 室内穿墙被动人体目标检测与WiFi
Pub Date : 2019-12-01 DOI: 10.1109/GCWkshps45667.2019.9024327
Xiaolong Yang, Shiming Wu, Mu Zhou, Liangbo Xie, Jiacheng Wang, Wei-jun He
Passive human target detection has a broad application prospect in security monitoring, intelligent home and humancomputer interaction. In through-the-wall scenario, due to the serious attenuation of signals caused by wall, the energy of target reflection signal decreases significantly and is submerged in the direct signal of the transceiver and the reflection signal of indoor static objects, making it difficult to be extracted. Therefore, the existing WiFi sensing system has some limitations in throughthe-wall scene, especially in detection of the stationary human target and the number of moving human targets. According to the above problem, we propose a detection system TWMD based on multidimensional signal features in this paper. Firstly, the received Channel State Information (CSI) data is preprocessed to eliminate the phase error and amplitude noise. Then, the multidimensional features are fully extracted from the correlation coefficient matrix by using time correlation and subcarrier correlation of CSI. Finally, the mapping between features and detection results is established by Back Propagation (BP) neural network. Our experimental results show that the recognition accuracy of TWMD in the environment with glass wall, brick wall and concrete wall are above 0.980, 0.900, 0.850, respectively. Compared with the existing detection system based on single signal feature, it improves about 0.450 in the detection of the number of moving targets.
被动人体目标检测在安防监控、智能家居、人机交互等领域有着广阔的应用前景。在穿墙场景中,由于墙壁对信号的严重衰减,目标反射信号的能量明显下降,淹没在收发器的直接信号和室内静态物体的反射信号中,难以提取。因此,现有的WiFi传感系统在穿墙场景中存在一定的局限性,特别是在检测静止的人体目标和运动的人体目标数量方面。针对上述问题,本文提出了一种基于多维信号特征的TWMD检测系统。首先,对接收到的信道状态信息(CSI)数据进行预处理,消除相位误差和幅度噪声;然后,利用CSI的时间相关和子载波相关,从相关系数矩阵中充分提取出多维特征;最后,利用BP神经网络建立特征与检测结果之间的映射关系。实验结果表明,在玻璃墙、砖墙和混凝土墙环境下,TWMD的识别精度分别在0.980、0.900、0.850以上。与现有的基于单信号特征的检测系统相比,对运动目标数量的检测提高了0.450左右。
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引用次数: 3
A Study of Timing Constraints and SAS Overload of SAS-CBSD Protocol in the CBRS Band CBRS频段SAS- cbsd协议的时序约束和SAS过载研究
Pub Date : 2019-12-01 DOI: 10.1109/GCWkshps45667.2019.9024407
A. Sahoo, N. E. Ouni, Vineet Shenoy
In the Citizens Broadband Radio Service (CBRS) band, the Federal Communications Commission (FCC) has set stringent timing constraints for the lower tier users to vacate the channel on which an incumbent shipborne radar appears. The standards body formulating various specifications for the CBRS operation has taken these timing constraints into consideration in the Spectrum Access System (SAS) - CBRS Device (CBSD) protocol. A transmitting CBSD continually heartbeats with its SAS. When required, the SAS sends commands to vacate a channel through these heartbeat messages. In this paper, we study the impact of the heartbeat interval on the CBRS system in terms of meeting the FCC timing constraints. We also study how the heartbeat interval can overload a SAS and how it can be used to determine the number of CBSDs a SAS can serve without causing unnecessary suspension of CBSD transmissions. We show the tradeoff between using a short heartbeat interval to meet the timing constraint early and the number of CBSDs that can be served by a SAS without causing unnecessary suspension of CBSD transmissions.
在公民宽带无线电服务(CBRS)频段,联邦通信委员会(FCC)为较低层次用户腾出现有舰载雷达出现的信道设置了严格的时间限制。为CBRS操作制定各种规范的标准机构在频谱接入系统(SAS) - CBRS设备(CBSD)协议中考虑了这些时间限制。一个传输的CBSD不断地与它的SAS心跳。当需要时,SAS通过这些心跳消息发送命令来腾出通道。本文从满足FCC时序约束的角度研究了心跳间隔对CBRS系统的影响。我们还研究了心跳间隔如何使SAS过载,以及如何使用它来确定SAS可以服务的CBSD的数量,而不会导致不必要的CBSD传输暂停。我们展示了使用短心跳间隔来尽早满足定时约束和SAS可以提供的CBSD数量之间的权衡,而不会导致不必要的CBSD传输暂停。
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引用次数: 3
Sensor-Aided Predictive Beam Tracking for mmWave Phased Array Antennas 毫米波相控阵天线的传感器辅助预测波束跟踪
Pub Date : 2019-12-01 DOI: 10.1109/GCWkshps45667.2019.9024551
Yichuan Lin, Chao Shen, Z. Zhong
This paper studies the beam tracking problem in a millimeter wave (mmWave) based system with phased array antennas. The key challenge is to jointly optimize the receive analog beamformer and estimate the angle of arrival (AoA) with consideration of mobile terminal (MT) rotation and environment changes over time. We propose an inertial sensor aided predictive beam tracking (PBT) scheme to exploit the attitude information available at the MT. Specifically, the AoA changes due to the local rotation which is on the time-scale order of a few 100 ms, and thus can be well predicted with prediction error modeled by an additive Gaussian random variable. Then, by taking the prediction error into account, the receive beamformer is opti- mized based on the Bayesian Cramér-Rao bound. Subsequently, the maximum a posteriori (MAP) estimate is employed for AoA estimation. The resultant estimator is equivalent to achieve a balance between the pilot-based AoA estimation and sensor-aided AoA prediction. The numerical simulation results validate that the proposed low- complexity PBT scheme can accurately track the beam even for dynamic scenarios. Meanwhile, the rotation information provided by the local sensors is of critical importance for beam tracking.
本文研究了毫米波相控阵系统中的波束跟踪问题。在考虑移动终端(MT)旋转和环境随时间变化的情况下,对接收模拟波束形成器进行优化,并估计到达角(AoA)。提出了一种惯性传感器辅助预测波束跟踪(PBT)方案,利用MT上可用的姿态信息。具体而言,AoA由于局部旋转而变化,其时间尺度为几100ms,因此可以很好地预测,预测误差由加性高斯随机变量建模。然后,考虑到预测误差,基于贝叶斯Cramér-Rao界对接收波束形成器进行优化。随后,采用最大后验估计(MAP)进行AoA估计。所得到的估计量是等效的,可以在基于导频的AoA估计和传感器辅助的AoA预测之间取得平衡。数值仿真结果验证了所提出的低复杂度PBT方案即使在动态情况下也能准确跟踪波束。同时,局部传感器提供的旋转信息对光束跟踪至关重要。
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引用次数: 4
Edge Transport (ETRA): Edge Transport Protocol Architecture for Next Generation Mobile IoT Systems 边缘传输(ETRA):下一代移动物联网系统的边缘传输协议架构
Pub Date : 2019-12-01 DOI: 10.1109/GCWkshps45667.2019.9024431
R. Ravindran, A. Azgin, K. Ramakrishnan
Next generation mobile IoT systems such as autonomous vehicles, mobile robotic and drone systems demand new ways to integrate programmable edge compute and networking resources to manage and control them in real time. Current solutions to support real-time information delivery and sharing, handling mobility, multicasting and service migration need to evolve. In this paper, we look at the unique features of these IoT systems that take advantage of high bandwidth wireless communications and edge computing. To address these challenges, we examine the capabilities needed in a new transport architecture for edge networks (ETRA) to handle low latency (and high bandwidth) real-time data streams from mobile IoT systems that also require services to handle mobility, service migration, data replication and reliability. We exemplify ETRA's functionality considering the case for augmented vehicular reality, wherein autonomous vehicles share their sensors' point clouds with each other over a managed edge infrastructure.
下一代移动物联网系统,如自动驾驶汽车、移动机器人和无人机系统,需要新的方法来集成可编程边缘计算和网络资源,以实时管理和控制它们。当前支持实时信息传递和共享、处理移动性、多播和服务迁移的解决方案需要不断发展。在本文中,我们将研究这些利用高带宽无线通信和边缘计算的物联网系统的独特功能。为了应对这些挑战,我们研究了边缘网络(ETRA)的新传输架构所需的功能,以处理来自移动物联网系统的低延迟(和高带宽)实时数据流,这些数据流还需要处理移动性、服务迁移、数据复制和可靠性的服务。我们举例说明了ETRA的功能,考虑到增强车辆现实的情况,其中自动驾驶车辆在托管边缘基础设施上彼此共享传感器的点云。
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引用次数: 0
Improved Recurrent Neural Networks (RNN) Based Intelligent Fund Transaction Model 基于改进递归神经网络(RNN)的智能基金交易模型
Pub Date : 2019-12-01 DOI: 10.1109/GCWkshps45667.2019.9024476
G. Hu, Yi Ye, Yin Zhang, M. S. Hossain
Fund correlation analysis can guide investors' investment and wealth management, avoiding the selection of highly relevant funds in the investment process, which can make the risk sharing among funds. There is a strong dependence between the features of the fund data and a long-term dependence between the output of different time steps, which makes it difficult to obtain good performance in the fund data in the data analysis model used in the traditional intelligent investment system. This has brought difficulties to fund correlation analysis. In order to solve the above problems, this paper uses an encoder-decoder model combined with the attention mechanism--Improved RNN model. The Encoder-decoder model has made great strides in the application of financial time series analysis. And the attention mechanism can select specific feature inputs and previous time step outputs, both of which are highly correlated with the current output, making system predictions more efficient. This paper applies this model to the historical data set containing multiple public funds. The results show that the fund intelligent investment system proposed in this paper performs best.
基金相关性分析可以指导投资者的投资和财富管理,避免在投资过程中选择高度相关的基金,使基金之间分担风险。基金数据的特征之间存在很强的依赖性,不同时间步长的输出之间存在长期的依赖性,这使得传统智能投资系统中使用的数据分析模型很难在基金数据中获得良好的表现。这给相关性分析的资金投入带来了困难。为了解决上述问题,本文采用了一种结合注意机制的编码器-解码器模型——改进的RNN模型。编码器-解码器模型在金融时间序列分析中的应用取得了长足的进步。注意机制可以选择与当前输出高度相关的特定特征输入和之前的时间步长输出,从而提高系统预测的效率。本文将该模型应用于包含多个公共基金的历史数据集。实验结果表明,本文提出的基金智能投资系统性能最好。
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引用次数: 2
Dual-Beam Dual-Frequency Secure Transmission for Downlink Satellite Communication Systems 下行卫星通信系统的双波束双频安全传输
Pub Date : 2019-12-01 DOI: 10.1109/GCWkshps45667.2019.9024580
Purui Wang, Zuyao Ni, Chunxiao Jiang, Linling Kuang, W. Feng
In the multi-antenna satellite communication system, beamforming and artificial noise are usually adopted to enhance physical layer security. However, due to the long distance between the satellite and the terrestrial terminal, the coverage of the main lobe in the satellite downlink is so large that the eavesdropper can get into the coverage easily despite of using spot beams. When the eavesdropper is close to the legitimate user, the difference between the main channel and the wiretap channel is small, which makes the secrecy capacity decrease rapidly. This paper proposes a novel scheme to solve this problem by using two different beams which work on different frequencies to transmit the same signal to the legitimate user. This dual-beam dual- frequency scheme can enlarge the difference between the desired channel and the wiretap channel. Then, if we add some artificial noise set the proper beamforming vectors, the secrecy capacity will remain high when the eavesdropper is in the small zone near the legitimate user. In order to derive the artificial noise and the beamforming vectors, we transform the problem into a semidefinite problem and use CVX tools to solve the problem. Simulation results prove that this scheme can achieve high secrecy capacity even when the eavesdropper is very close to the legitimate user.
在多天线卫星通信系统中,通常采用波束形成和人工噪声来提高物理层的安全性。然而,由于卫星与地面终端之间的距离较远,卫星下行链路主瓣的覆盖范围很大,即使使用点波束,窃听者也很容易进入该覆盖范围。当窃听者靠近合法用户时,主信道与窃听信道之间的差异很小,这使得保密能力迅速下降。本文提出了一种利用工作在不同频率上的两种不同波束向合法用户传输相同信号的新方案。这种双波束双频方案可以扩大所需信道与窃听信道之间的差异。然后,在适当的波束形成矢量上加入一些人工噪声,窃听者在合法用户附近的小区域内仍能保持较高的保密能力。为了推导出人工噪声和波束形成矢量,我们将该问题转化为半定问题,并利用CVX工具进行求解。仿真结果表明,即使窃听者离合法用户很近,该方案也能获得较高的保密能力。
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引用次数: 1
Integrated Fiber-Wireless System in W Band for Ultra-Dense Small-Cell and Moving-Cell Network 超密集小蜂窝和移动蜂窝网络W波段综合光纤无线系统
Pub Date : 2019-12-01 DOI: 10.1109/GCWkshps45667.2019.9024645
P. Dat, A. Kanno, N. Yamamoto, T. Kawanishi
We present a high-speed integrated fiber-wireless system in the W band for transmission of high- frequency radio signals to ultra-dense small cells and moving cells. The system utilizes a wavelength-division-multiplexing intermediate- frequency-over-fiber system and a remote generation and transmission of local oscillator signals. We experimentally confirmed satisfactory performance for the transmission of 4 Ã- 25-Gb/s and 20-Gb/s OFDM signals over a fixed and a switchable system, respectively. The system is highly spectral efficiency and scalable for signal transmission in future mobile networks.
提出了一种W波段高速集成光纤无线系统,用于向超密集小小区和移动小区传输高频无线电信号。该系统利用波分复用中频光纤系统和本地振荡器信号的远程产生和传输。我们通过实验验证了在固定系统和可切换系统上分别传输4个Ã- 25 gb /s和20 gb /s OFDM信号的满意性能。该系统具有较高的频谱效率和可扩展性,适合未来移动网络的信号传输。
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引用次数: 0
Emergency Message Delivery in NDN Networks with Source Location Verification 具有源位置验证的NDN网络中的紧急消息传递
Pub Date : 2019-12-01 DOI: 10.1109/GCWkshps45667.2019.9024500
Y. Koizumi, Yoji Yamamoto, T. Hasegawa
During a disaster or a catastrophic accident, it is difficult to keep providing circuit-switching based emergency communication, such as the 911 calls in the US and the 119 calls in Japan, due to heavy congestion or network failures. In order to provide stable emergency message delivery, we proposed the architecture that provides packet-switching based emergency message delivery on top of NDN (Named Data Networking) networks. The architecture, however, assumes that devices in the architecture are honest. In contrast, the paper re-designs the architecture, assuming that end devices are dishonest. That is, an end device is either malicious or compromised by an attacker and tries to report a fake location to disturb the emergency message delivery service. We first define security requirements for emergency message delivery and next re-design the architecture so that it satisfies the security requirements by carefully combining an authentication mechanism, a digital signature and a location verification protocol.
在灾难或灾难性事故期间,由于严重拥塞或网络故障,很难继续提供基于电路交换的紧急通信,例如美国的911呼叫和日本的119呼叫。为了提供稳定的应急消息传递,我们提出了基于分组交换的NDN (Named Data Networking)网络应急消息传递体系结构。然而,该体系结构假定体系结构中的设备是诚实的。相反,本文重新设计了架构,假设终端设备是不诚实的。也就是说,终端设备要么是恶意的,要么被攻击者攻破,并试图报告一个虚假的位置,以干扰紧急消息传递服务。我们首先定义紧急消息传递的安全需求,然后重新设计体系结构,以便通过仔细组合身份验证机制、数字签名和位置验证协议来满足安全需求。
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引用次数: 1
CSF: Controller Based Selective Forwarding in Software Defined Named Data Based MANETs 软件定义命名数据manet中基于控制器的选择性转发
Pub Date : 2019-12-01 DOI: 10.1109/GCWkshps45667.2019.9024511
Farwa Ansari, R. A. Rehman, Byung-Seo Kim
Software Defined Networking (SDN) is the more reliable and flexible networking architecture. Due to its programmable nature, it is getting more popular in every research domain of Computing. Moreover, Named Data Networking (NDN) architecture is also more beneficial and emerging technology of Internet. NDN focuses on the content name instead of its location and replaces the usage of IP addresses. Lot of research has been made to integrate SDN and NDN due to their benefits of better management-ability, flexibility, less complexity, centralized control, decoupled control and data planes etc. Mobile Ad Hoc Network (MANET) is also getting more popular due to huge advancement in Mobile communication devices. Combining SDN and NDN in MANET will resolve lots of problems (i.e. forwarding, mobility, management etc.) which are difficult to tackle with single architecture. Broadcast Storm is always a challenging issue in Ad Hoc networks like MANET. In this paper, we proposed a Controller based Selective Forwarding (CSF) scheme by merging SDN, NDN and MANET to overcome the Broadcast Storm Problem (BSP) and other issues caused by BSP. CSF is evaluated using different simulation parameters which shows superiority over the Native ND-MANET in reference to BSP.
软件定义网络(SDN)是一种更可靠、更灵活的网络架构。由于其可编程的特性,它在计算的各个研究领域越来越受欢迎。此外,命名数据网络(NDN)架构也是互联网中较为有益的新兴技术。NDN侧重于内容名称而不是其位置,并取代了IP地址的使用。由于SDN和NDN具有更好的管理能力、灵活性、较低的复杂性、集中控制、解耦控制和数据平面等优点,因此对其进行了大量的研究。由于移动通信设备的巨大进步,移动自组网(MANET)也越来越受欢迎。在MANET中,SDN和NDN的结合将解决许多单一架构难以解决的问题(如转发、移动性、管理等)。广播风暴一直是MANET等自组织网络中一个具有挑战性的问题。本文提出了一种基于控制器的选择性转发(CSF)方案,通过合并SDN、NDN和MANET来克服广播风暴问题(BSP)和其他由BSP引起的问题。CSF使用不同的仿真参数进行评估,在BSP方面显示出优于Native ND-MANET的优势。
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引用次数: 1
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2019 IEEE Globecom Workshops (GC Wkshps)
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