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2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet)最新文献

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Exploiting Direct Link in Dual-Hop AF Relaying for THz Wireless Systems 在太赫兹无线系统的双跳 AF 中继中利用直接链路
S. Yadav, Radhika Gour, D. Gurjar, Anshul Pandey
This paper investigates the outage performance of terahertz (THz) wireless communication systems empowered with dual-hop amplify-and-forward (AF) relaying technology. In particular, the information transmission from source to destination is done via AF relay and via direct link. Considering that all the THz links are characterized by α – μ fading distribution with pointing errors, both closed-form outage probability (OP) expression and asymptotic OP expression in the high signal-to-noise ratio regime are derived. Exploiting high SNR OP expression, we present a system’s diversity order as a function of fading parameters and pointing errors pertaining to all THz links. The impact of all associated system and channel parameters is shown via numerical and simulation results.
本文研究了采用双跳放大和前向(AF)中继技术的太赫兹(THz)无线通信系统的中断性能。其中,信息从信源到目的地的传输是通过 AF 中继和直接链路完成的。考虑到所有太赫兹链路都具有α - μ衰减分布和指向误差的特点,因此得出了闭式中断概率(OP)表达式和高信噪比情况下的渐近 OP 表达式。利用高信噪比 OP 表达式,我们提出了系统的分集阶,作为所有太赫兹链路的衰减参数和指向误差的函数。数值和仿真结果表明了所有相关系统和信道参数的影响。
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引用次数: 0
A scalable SDN in-band control protocol for IoT networks in 6G environments 用于 6G 环境中物联网网络的可扩展 SDN 带内控制协议
David Carrascal, Elisa Rojas, D. Lopez-Pajares, Nicolas Manso, Emma Gutierrez
The proliferation of intelligent Machine-to-Machine (M2M) environments provided by the Internet of Things (IoT) has led to an increase in concurrent communications, thereby generating new demands in terms of capacity, performance, latency, and network efficiency that must be addressed. While it is true that the fifth generation of mobile technologies (5G) is already in place, addressing some of the mentioned needs, the upcoming the sixth generation of mobile technologies (6G) communication network is positioned as a technology to address future requirements, with a particular emphasis in the field of IoT. 6G harnesses the Software-Defined Networking (SDN) technology as a pivotal component of its architecture due to the flexibility and programmability it offers to enhance performance and optimize the network’s backbone. However, the SDN paradigm has drawbacks in IoT environments, such as the connectivity scheme between each network node and the SDN controller. This paper introduces the implementation of a scalable SDN in-band control protocol, which leverages the data network for control information transmission, particularly suitable for IoT networks. This implementation has been designed and implemented for both wired and wireless networks, utilizing the Basic OpenFlow User-space Software Switch (BOFUSS).
由物联网(IoT)提供的智能机器对机器(M2M)环境的激增导致了并发通信的增加,从而在容量、性能、延迟和网络效率方面产生了必须解决的新需求。诚然,第五代移动技术(5G)已经到位,满足了上述部分需求,但即将推出的第六代移动技术(6G)通信网络被定位为满足未来需求的技术,尤其侧重于物联网领域。6G 利用软件定义网络(SDN)技术作为其架构的关键组成部分,因为该技术具有灵活性和可编程性,可提高性能并优化网络主干。然而,SDN 范式在物联网环境中存在一些缺陷,例如每个网络节点与 SDN 控制器之间的连接方案。本文介绍了一种可扩展的 SDN 带内控制协议的实现,该协议利用数据网络进行控制信息传输,尤其适用于物联网网络。利用基本 OpenFlow 用户空间软件交换机(BOFUSS)设计并实现了有线和无线网络。
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引用次数: 0
Enhancement in Quality of Routing Service in Vehicular ad-hoc Networks Based on the MPR Selection Algorithm of the OLSR Protocol 基于 OLSR 协议的 MPR 选择算法提高车载 ad-hoc 网络的路由服务质量
Oussama Sbayti, Said Ouhmi, Brahim Es-Sousy, Khalid Housni
In the transport domain, vehicles share a variety of information among themselves, including speed, road conditions, and accident data. Using the Vehicular Ad hoc Networks (VANETs), these vehicles effectively exchange this information. However, the issue lies in the quality of data transmission and reception. In another way, Enhancing Routing Services (ERS) improves the rate of data transmission and reception in VANETs. Our goal is to enhance routing services in VANETs based on the proactive Optimized Link State Routing (OLSR) protocol. This protocol relies on the concept of MultiPoint Relays (MPR) for neighbor selection and an intelligent algorithm for determining the shortest path between source and destination vehicles. Our idea consists of enhancing the MPR selection algorithm by increasing the maximum number of hops to three. We conducted simulations using the Simulation of Urban Mobility (SUMO) and the Network Simulator (NS3). The simulation results demonstrate favorable outcomes for the modified OLSR in various scenarios. We evaluated a set of metrics such as End-To-End Delay (E2ED), Packet Loss Rate (PLR), Overhead, and ERS.
在运输领域,车辆之间共享各种信息,包括速度、路况和事故数据。利用车载 Ad hoc 网络(VANET),这些车辆可以有效地交换这些信息。然而,问题在于数据传输和接收的质量。从另一个角度看,增强路由服务(ERS)可以提高 VANET 的数据收发率。我们的目标是在主动优化链路状态路由(OLSR)协议的基础上增强 VANET 中的路由服务。该协议依靠多点中继(MPR)的概念来选择邻居,并采用智能算法来确定源车和目的车之间的最短路径。我们的想法是通过将最大跳数增加到三跳来增强 MPR 选择算法。我们使用城市交通仿真(SUMO)和网络仿真器(NS3)进行了仿真。仿真结果表明,改进后的 OLSR 在各种场景下都取得了良好的结果。我们评估了一系列指标,如端到端延迟(E2ED)、丢包率(PLR)、开销和 ERS。
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引用次数: 0
A Novel Frequency Reconfigurable Antenna for X, Ku, and K Bands Applications 用于 X、Ku 和 K 波段应用的新型频率可重构天线
Youssef Frist, Mourad Elhabchi, M. N. Srifi
In this paper, we introduce a novel frequency-reconfigurable antenna design that leverages the principles of split ring resonator (SRR) and defected ground structure techniques (DGS). These techniques are strategically applied to the antenna’s patch and ground, respectively. Additionally, the incorporation of two PIN diodes, situated within the radiating element and the ground plane, introduces the capability to achieve distinct resonant frequencies. Notably, these frequencies span the range of 8 GHz to 26 GHz, effectively covering the X, Ku, and K bands. The configuration of the proposed antenna incorporates two PIN diodes, enabling us to achieve four distinct states. Notably, a majority of the resonant frequencies exhibit a positive gain, resulting in an average gain of 2.55 dBi. Additionally, the peak S11 value is noteworthy, and the VSWR remains consistently below 2 across all resonant frequencies. The radiation pattern in the E-plane is omnidirectional, offering broad coverage, while in the H-plane, we observe a directional radiation pattern predominant at most frequencies. To ensure the reliability of our findings, we employ CST Microwave Studio (MWS) for initial simulations and subsequently validate the outcomes using High-Frequency Structure Simulator (HFSS).
在本文中,我们介绍了一种新颖的频率可重构天线设计,它充分利用了分裂环谐振器(SRR)和缺陷地面结构技术(DGS)的原理。这些技术分别战略性地应用于天线的贴片和接地。此外,在辐射元件和地平面内加入两个 PIN 二极管,还能实现不同的谐振频率。值得注意的是,这些频率的范围从 8 千兆赫到 26 千兆赫,有效覆盖了 X、Ku 和 K 波段。拟议天线的配置包含两个 PIN 二极管,使我们能够实现四种不同的状态。值得注意的是,大部分谐振频率都呈现正增益,平均增益为 2.55 dBi。此外,S11 峰值值得注意,所有谐振频率的驻波比始终低于 2。E 平面的辐射模式是全向的,具有广泛的覆盖范围,而在 H 平面,我们观察到在大多数频率下都是以定向辐射模式为主。为确保研究结果的可靠性,我们采用 CST Microwave Studio(MWS)进行了初步模拟,随后使用高频结构模拟器(HFSS)对结果进行了验证。
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引用次数: 0
A Novel Millimeter-Wave Miniaturized UWB Antenna Developed for 5G Applications Using Four L-Shaped and SRR Slots 利用四个 L 型和 SRR 插槽为 5G 应用开发的新型毫米波小型化 UWB 天线
Youssef Frist, Mourad Elhabchi, M. N. Srifi
This paper presents a novel miniaturized UWB antenna designed for millimeter-wave applications, specifically in the frequency range of 26 GHz to 75 GHz, suitable for 5G applications. The antenna design incorporates four shaped- L slots within the patch and split ring resonator (SRR) slots in the ground structure. Six distinct resonant frequencies were achieved at 28.7 GHz, 31.68 GHz, 38.9GHz, 46.72 GHz, 55.4GHz, and 63.09 GHz, each exhibiting positive gains of 5.79 dBi, 3.95 dBi, 3.6dBi, 1.53dBi, 3.13dBi, and 4.57 dBi, respectively. The antenna maintains a VSWR below 2 and exhibits both omnidirectional and directional radiation patterns. Additionally, the proposed antenna can be reconfigured using four PIN diodes to further extend its resonant frequencies. The results were validated through simulations in both Computer Simulation Technology Microwave Studio (CST MWS), and High-Frequency Structure Simulator (HFSS), emphasizing its potential for 5G applications.
本文介绍了一种为毫米波应用而设计的新型微型 UWB 天线,特别是在 26 GHz 至 75 GHz 的频率范围内,适合 5G 应用。该天线设计在贴片中加入了四个异形 L 槽,并在地面结构中加入了分裂环谐振器 (SRR) 槽。在 28.7 GHz、31.68 GHz、38.9 GHz、46.72 GHz、55.4 GHz 和 63.09 GHz 实现了六个不同的谐振频率,每个频率的正增益分别为 5.79dBi、3.95dBi、3.6dBi、1.53dBi、3.13dBi 和 4.57dBi。该天线的驻波比保持在 2 以下,并呈现全向和定向辐射模式。此外,拟议的天线还可以使用四个 PIN 二极管进行重新配置,以进一步扩展其谐振频率。通过在计算机仿真技术微波工作室(CST MWS)和高频结构仿真器(HFSS)中进行仿真,结果得到了验证,强调了其在 5G 应用中的潜力。
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引用次数: 0
CommNet 2023 TOC 通信网络 2023》技术手册
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引用次数: 0
Evaluating LoRaWAN performance in intentional and unintentional DoS attacks by legacy 900MHz network devices 评估 LoRaWAN 在传统 900MHz 网络设备有意和无意 DoS 攻击中的性能
Seokhyeon Bang, Junyoung Jang, Minju Ro, Yuseon Choi, Doyong Kwon, Kangyeon Lee, Anthony Smith
The deployment of LoRaWAN on the Internet of Things (IoT) has increased since its advent and LoRaWAN now predominates the IoT market over other Low Powered Wide Area Networks (LPWAN). However, since LoRaWAN uses Chirp Spread Spectrum (CSS), it is susceptible to wideband jamming attacks. In this paper, we demonstrate with experiments and concrete numerical results that jamming US915 LoRaWAN frequency is possible by the usual data transmission and reception process of 900MHz Canopy, one of the legacy 900MHz network device. Intentional attack is possible in the same manner. The experiments emulate the real-world environment operated in medical and agriculture industries, in outdoor and indoor conditions, respectively. In addition, this paper introduces and utilizes the novel metric, Jamming Effect (JE), that indicates the network performance of wireless networks that spread the data on air.
自 LoRaWAN 问世以来,物联网 (IoT) 上的 LoRaWAN 部署不断增加,目前 LoRaWAN 在 IoT 市场上的主导地位已超过其他低功耗广域网 (LPWAN)。然而,由于 LoRaWAN 使用啁啾扩频 (CSS),因此容易受到宽带干扰攻击。在本文中,我们通过实验和具体的数值结果证明,通过传统 900MHz 网络设备之一的 900MHz Canopy 的常规数据传输和接收过程,可以干扰 US915 LoRaWAN 频率。故意攻击也可以通过同样的方式进行。实验分别在室外和室内条件下模拟了医疗和农业行业的实际运行环境。此外,本文还引入并使用了新的指标--干扰效应(JE),该指标可显示在空气中传播数据的无线网络的网络性能。
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引用次数: 0
Power Normalization and Precoding for Massive MIMO in Outdoor-to-Indoor mmWave Relaying 用于室外到室内毫米波中继的大规模多输入多输出(MIMO)的功率归一化和精确编码
Nawal Bounouader, H. Chafnaji, M. Benjillali
In this paper, we investigate two millimeter waves (mmWave) relaying scenarios to assist outdoor-to-indoor communications, where indoor multi-users are served by an outdoor base station (BS) in urban cellular networks. Considering a two-hop full-duplex (FD) relaying scheme, we first propose a scheme where the BS performs zero-forcing (ZF) precoding based on the end-to-end channel response. In this case, the relay normalizes, amplifies, and forwards the signals to the indoor users. Second, we assume that the BS performs a precoding based on the first hop channel response only. The relay, in this second scheme, normalizes, precodes (using the second hop channel response), amplifies, and forwards the signals. The transmission in both schemes is enabled by massive multiple-input multiple-output (mMIMO). We derive the expressions of the average signal-to-noise ratio (SNR) for each scenario, and quantity the asymptotic SNR. Outage probability, for which we derive closed-form expressions, in addition to capacity, and energy-efficiency, are used to evaluate the two scenarios, and Monte Carlo simulation results are added to assess the accuracy of our analysis. Finally, the two schemes are compared taking into consideration the precoding complexity, the number of antennas, as well as the number of users. Practical recommendations are formulated at the end of the analysis.
在城市蜂窝网络中,室外基站(BS)为室内多用户提供服务,本文研究了两种毫米波(mmWave)中继方案,以协助室外到室内的通信。考虑到双跳全双工(FD)中继方案,我们首先提出了一种方案,即基站根据端到端信道响应执行零强迫(ZF)预编码。在这种情况下,中继将信号归一化、放大并转发给室内用户。其次,我们假设 BS 仅根据第一跳信道响应执行预编码。在第二种方案中,中继对信号进行归一化、预编码(使用第二跳信道响应)、放大和转发。这两种方案中的传输都是通过大规模多输入多输出(mMIMO)实现的。我们推导出每种方案的平均信噪比(SNR)表达式和渐近信噪比数量。除了容量和能效外,我们还利用得出闭式表达式的中断概率来评估两种方案,并添加蒙特卡罗模拟结果来评估我们分析的准确性。最后,考虑到预编码复杂性、天线数量和用户数量,对两种方案进行了比较。在分析的最后提出了一些实用建议。
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引用次数: 0
Email Filtering based on Artificial Neural Network: Activation functions and Learning rate analysis 基于人工神经网络的电子邮件过滤:激活函数和学习率分析
Abdelmoujoud Assabir, Abdelkhalek Assabir
The information and communication technologies evolution, along with the development of the Internet, has meant that networks and information systems now play a crucial role in the society, whose citizens security is not marginalized. Most successful cyberattacks start with a well-known vector, which is email using social engineering techniques as spam and phishing. Email attacks are more and more frequent, therefore it is necessary to know how we can protect the confidential information. This paper aims to detect phishing and spam emails using high-accuracy machine learning techniques using the ANN algorithm with data preprocessing, while changing the learning rate for each activation function to find the one that gives the minimum error in terms of RMSE for each function.
信息和通信技术的发展,以及互联网的发展,意味着网络和信息系统现在在社会中发挥着至关重要的作用,其公民的安全并没有被边缘化。大多数成功的网络攻击都是从一个众所周知的载体开始的,那就是使用社会工程技术(如垃圾邮件和网络钓鱼)的电子邮件。电子邮件攻击越来越频繁,因此我们有必要了解如何保护机密信息。本文旨在利用高精度的机器学习技术,使用带有数据预处理功能的 ANN 算法来检测网络钓鱼和垃圾邮件,同时改变每个激活函数的学习率,以找到每个函数的均方根误差(RMSE)最小的函数。
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引用次数: 0
A New Architecture For Diagnosing Pulmonary Thorax Diseases (Covid-19, Pneumonology, Normal) Using Deep Learning Technology 利用深度学习技术诊断肺胸腔疾病(Covid-19、肺炎、正常)的新架构
Hammou Djalal Rafik, Yasmine Feddag Zoulikha, Benadane Samira
Medical imaging is an efficient field of research because it makes it possible to diagnose and detect diseases and relieve patients by presenting a remedy or treatment to follow. Pulmonary pathology represents a principal challenge for doctors to diagnose and examine the type of disease. The use of medical x-ray images has made it possible to advance research in terms of medical findings by specialists. Despite this, doctors sometimes misdiagnose the patient, and we suggest employing artificial intelligence to significantly enhance the patient’s medical diagnosis and help identify lung ailments more accurately. In this project, we plan to develop a computer system based on deep learning with a coherent approach based on the application of standard convolutional neural networks (CNN) with architectures appropriate and specific to this problem (VGG16, MobileNetV1, ResNet50, InceptionV3, DenseNet121, and DenseNet169). We also propose the construction of an architectural model called RafikNet. The tests will be realized on a corpus of images with three types of lung disease (COVID-19, pneumology, and normals), and we will evaluate our approach on parameters such as accuracy, precision, recall, f1-score, support, and loss.
医学影像是一个高效的研究领域,因为它可以诊断和检测疾病,并通过提供补救措施或治疗方法来减轻病人的痛苦。肺部病理学是医生诊断和检查疾病类型的主要挑战。医学 X 射线图像的使用使专家在医学发现方面的研究取得了进展。尽管如此,医生有时还是会误诊病人,我们建议采用人工智能来大大提高病人的医疗诊断水平,帮助更准确地识别肺部疾病。在本项目中,我们计划开发一个基于深度学习的计算机系统,该系统采用了一种基于标准卷积神经网络(CNN)的连贯方法,其架构适合并专门针对这一问题(VGG16、MobileNetV1、ResNet50、InceptionV3、DenseNet121 和 DenseNet169)。我们还建议构建一个名为 RafikNet 的架构模型。我们将在包含三种肺部疾病(COVID-19、肺病和正常人)的图像语料库上进行测试,并将根据准确率、精确度、召回率、f1-分数、支持度和损失等参数对我们的方法进行评估。
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引用次数: 0
期刊
2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet)
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