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Visible Light Communications for Downhole Telemetry System: A Measurement-based Investigation 用于井下遥测系统的可见光通信:基于测量的研究
Pub Date : 2022-08-22 DOI: 10.1109/BalkanCom55633.2022.9900702
Hamda Al-Naimi, Gizem Sümen, A. Retnanto, K. Qaraqe
One of the critical components of the extracting and monitoring process in the gas and oil sector is the downhole telemetry system. As sensors resistant to high temperature and pressure have been developed, more parameters can be monitored to increase safety and efficiency. Increased bandwidth demand for downhole communications necessitated the development of a novel, dependable, and low-cost communication network. Visible light communications (VLC) have been suggested in the literature for downhole telemetry systems, since they can address the bandwidth needs thanks to the huge available spectrum. However, the gas types used in the literature so far are not sufficient enough to examine the real field conditions. In this study, after the challenges surrounding the use of VLC in downhole gas pipeline telemetry/monitoring systems are discussed, the performance of VLC is investigated by injecting a large variety of gas into the carbon steel covered gas pipeline, such as methane, and ethane, carbon dioxide. The effectiveness of the VLC system using a non-uniformly clipped optic orthogonal frequency division multiplexing (ACO-OFDM) modulation scheme with 128-FFT and guarding band is experimentally investigated. Furthermore, the impact of the light-emitting diode (LED) colors on a VLC-based downhole telemetry system is also discussed. The measurement results indicate that the color of the LED affects the performance as the dominance of the noise decreases after the 7dB signal-to-noise ratio (SNR) region.
在油气行业的开采和监测过程中,井下遥测系统是关键组成部分之一。随着耐高温高压传感器的发展,可以监测更多的参数,以提高安全性和效率。井下通信带宽需求的增加使得开发一种新颖、可靠、低成本的通信网络成为必要。可见光通信(VLC)已经被推荐用于井下遥测系统,因为它可以满足带宽需求,这要多亏了巨大的可用频谱。然而,到目前为止,文献中使用的气体类型不足以检查实际的现场条件。在本研究中,在讨论了在井下天然气管道遥测/监测系统中使用VLC所面临的挑战之后,通过向碳钢覆盖的天然气管道中注入多种气体(如甲烷、乙烷、二氧化碳)来研究VLC的性能。实验研究了采用128-FFT和保护带的非均匀剪切光正交频分复用(ACO-OFDM)调制方案的VLC系统的有效性。此外,还讨论了发光二极管(LED)颜色对基于vlc的井下遥测系统的影响。测量结果表明,在信噪比(SNR)超过7dB后,LED的颜色对性能的影响随着噪声的主导度减小而减小。
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引用次数: 0
MGF Based Calculation and Simulation of ABEP for Multi-branch SC Receiver in an Environment under α-K-μ Fading and Co-channel Interference α-K-μ衰落和同信道干扰下基于MGF的多支路SC接收机ABEP计算与仿真
Pub Date : 2022-08-22 DOI: 10.1109/BalkanCom55633.2022.9900869
D. Krstić, S. Suljovic, N. Petrovic, Z. Popovic, Sinisa Minic
In this paper, a moment generating function (MGF)-based calculation of average bit error probability (ABEP) of multi-branch selection combining (SC) receiver under the influence of α-k-μ fading and α-k-μ co-channel interference will be carried out. The SC receiver is implemented to reduce the effects of multiple fading and interference on the bit error probability. The influence of parameters to the proposed radio communication system will be analyzed based on plotted graphs. Further, we introduce an approach aiming Quality of Service (QoS) estimation relying on classification using Weka machine learning Application Programming Interface (API) for Java, leveraging the calculated ABEP value as input variable. Several different classification algorithms were compared regarding accuracy and execution time. Decision table-based implementation gave the highest accuracy, while J48 decision tree shows just slightly lower rate, but has much faster training rate.
本文研究了在α-k-μ衰落和α-k-μ同信道干扰影响下,基于矩源函数(MGF)的多支路选择组合(SC)接收机平均误码率(ABEP)的计算。为了降低多重衰落和干扰对误码概率的影响,设计了SC接收机。通过绘制图形分析了各参数对所提出的无线电通信系统的影响。此外,我们引入了一种基于分类的服务质量(QoS)估计方法,该方法使用Java的Weka机器学习应用程序编程接口(API),利用计算出的ABEP值作为输入变量。比较了几种不同的分类算法的准确率和执行时间。基于决策表的实现给出了最高的准确率,而J48决策树的准确率略低,但训练速度要快得多。
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引用次数: 4
Service Assurance in 5G-based vCDN 基于5g vCDN的业务保障
Pub Date : 2022-08-22 DOI: 10.1109/BalkanCom55633.2022.9900663
Miguel Lopes, Daniel Corujo, Paulo Duarte, Marco Araújo
Due to their dynamic nature, 5G communications bring additional complexity to operator networks. Due to their reliance on network softwarization and virtualization, 5G networks can adapt themselves by changing their topology or simply by adding or removing services and resources as needed, in regards to Quality of Service (QoS) metrics. For an operator, network monitoring and orchestration gain further importance for automation and management of virtual functions life-cycle. Monitoring is a crucial aspect of the life-cycle management of virtual functions in order to ensure that the QoS metrics are met at all times. Accordingly, network orchestration is one of the fundamental pillars for the implementation of the new generation of mobile networks use cases. The Open Network Automation Platform (ONAP) is an open-source project that provides management and orchestration support for end-to-end services and infrastructures. This paper aims to explore ONAP’s capabilities, coupled with the Prometheus monitoring tool, to address the possible QoS problems of a vCDN service, more precisely, the lack of a horizontal system scaling. An experimental proof of concept evaluation provided low instantiation times, allowing the system to recover from heavy workloads more efficiently.
由于其动态特性,5G通信给运营商网络带来了额外的复杂性。由于依赖于网络软件化和虚拟化,5G网络可以通过改变其拓扑结构或根据需要添加或删除服务和资源来进行自我调整,这与服务质量(QoS)指标有关。对于运营商来说,网络监控和编排对于虚拟功能生命周期的自动化和管理更加重要。监视是虚拟功能生命周期管理的一个关键方面,它可以确保始终满足QoS指标。因此,网络编排是实现新一代移动网络用例的基本支柱之一。开放网络自动化平台(ONAP)是一个开源项目,为端到端服务和基础设施提供管理和编排支持。本文旨在探讨ONAP的功能,结合Prometheus监控工具,以解决vCDN服务可能存在的QoS问题,更准确地说,缺乏水平系统扩展。一个实验性的概念验证评估提供了较低的实例化时间,允许系统更有效地从繁重的工作负载中恢复。
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引用次数: 0
Design of a Communication Network for Distributed Renewable Energy Generation Systems 分布式可再生能源发电系统通信网络设计
Pub Date : 2022-08-22 DOI: 10.1109/BalkanCom55633.2022.9900582
Fatih Dönmez, A. Altuncu
Renewable energy systems, which are intermittent energy production systems, cannot always operate at high efficiency due to their nature. Since specific amounts of energy must be spent for energy production, it is essential to estimate the time intervals when the efficiency of the energy source is high. In order to actively monitor the system health, the communication traffic must be transferred to a monitoring room where the technical teams can easily observe the operating data of the equipment in the energy-generating plants. It has been assumed that the energy needs of vocational schools affiliated with the university are met by solar energy systems previously installed by the university administration in their fields. Thanks to the simulation programs, a communication network that does not violate the standards published by the International Electrotechnical Commission for solar energy systems has been designed. Contrary to the methods most preferred in wide area networks like Telecommunication Company’s tariff, we preferred wireless communication technologies. By choosing comprehensive area network technology WiMAX and local area network technology WiFi, we passed the required performance criteria under the name of related communication standards.
可再生能源系统是一种间歇性的能源生产系统,由于其本身的特性,不能始终以高效率运行。由于一定数量的能源必须用于能源生产,因此有必要估计能源效率高的时间间隔。为了主动监控系统运行状况,必须将通信流量转移到监控室,技术团队可以方便地观察到发电厂设备的运行数据。人们一直认为,大学附属职业学校的能源需求是由大学管理部门先前在其领域安装的太阳能系统来满足的。通过模拟程序,设计出了一个不违反国际电工委员会发布的太阳能系统标准的通信网络。与电信公司的资费等广域网中最常用的方法相反,我们更喜欢无线通信技术。通过选择综合局域网技术WiMAX和局域网技术WiFi,我们在相关通信标准的名义下通过了所要求的性能标准。
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引用次数: 0
Towards Blockchain-based Hierarchical Federated Learning for Cyber-Physical Systems 面向网络物理系统的基于区块链的分层联邦学习
Pub Date : 2022-08-22 DOI: 10.1109/BalkanCom55633.2022.9900546
M. Aloqaily, I. Al Ridhawi, F. Karray, M. Guizani
Cyber-physical systems (CPS) have evolved over the years and are now integrated into intelligent manufactory. The Internet of Things (IoT) has played a significant role in the advancement of such systems. CPS have become more intelligent and self-automated with the aid of advances in Artificial Intelligence (AI). Automating the process of CPS management requires that AI and secure transaction processing be integrated within all stakeholders, including the cloud, fog, edge, network, storage, and industrial devices. This integration necessitates the distribution and decentralization of the self-configuring, self-managing, self-healing, and self-governing process in CPS. This paper presents a blockchain-based hierarchical federated learning (HFL) solution that maintains quick, secure, and accurate decision-making for industrial machines. A two-stage federated learning (FL) algorithm, where during the first stage, industrial devices are grouped into clusters and perform local ML training. Local models are shared with network edge devices and a set of global models are created using FL averaging. During the second stage, a main global model is created from the distributed first-stage global models using a FL aggregating algorithm. Blockchain is used to verify and validate the trained models on the edge. System evaluations are performed to compare the proposed HFL solution against traditional FL in terms of training accuracy and network overhead.
信息物理系统(CPS)经过多年的发展,现已集成到智能制造中。物联网(IoT)在这些系统的发展中发挥了重要作用。在人工智能(AI)的帮助下,CPS变得更加智能和自动化。CPS管理过程的自动化需要将AI和安全事务处理集成到所有利益相关者中,包括云、雾、边缘、网络、存储和工业设备。这种集成需要CPS中自我配置、自我管理、自我修复和自我管理过程的分布和分散。本文提出了一种基于区块链的分层联邦学习(HFL)解决方案,可为工业机器提供快速、安全和准确的决策。一种两阶段的联邦学习(FL)算法,其中在第一阶段,工业设备被分组到集群中并执行本地ML训练。本地模型与网络边缘设备共享,并使用FL平均创建一组全局模型。在第二阶段,使用FL聚合算法从分布式第一阶段全局模型创建主全局模型。区块链用于在边缘上验证和验证训练好的模型。在训练精度和网络开销方面,执行系统评估以比较所提出的HFL解决方案与传统FL解决方案。
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引用次数: 4
Overview of Blockchain Data Storage and Privacy Protection 区块链数据存储与隐私保护概述
Pub Date : 2022-08-22 DOI: 10.1109/BalkanCom55633.2022.9900867
Avni Rustemi, V. Atanasovski, A. Risteski
Blockchain nowadays is finding great application in many areas, based on its security, decentralized mode of operation, however many things during its use remain challenging include the issue of data privacy, such as safe and effective data management, maintaining data integrity and data quality, etc. Through this paper we will try to make an overview of existing blockchain technologies, their use today and sublimating existing and future trends. We will briefly describe application of blockchain technology in various fields suggesting solutions, advantages and disadvantages of blockchain, cloud platforms for blockchain data storage. We will focus on data privacy by making a description of the strategies used in this regard. We will conclude the paper by giving the latest research regarding data storage, the importance of data storage and our views regarding the future of data management and storage.
区块链基于其安全性、分散式的运行模式,如今在许多领域都得到了很大的应用,但在使用过程中仍然存在许多挑战,包括数据隐私问题,如安全有效的数据管理,保持数据完整性和数据质量等。通过本文,我们将尝试对现有区块链技术进行概述,它们的使用今天和升华现有的和未来的趋势。我们将简要介绍区块链技术在各个领域的应用,提出解决方案,区块链的优缺点,区块链数据存储的云平台。我们将通过描述在这方面使用的策略来关注数据隐私。最后,我们将给出有关数据存储的最新研究,数据存储的重要性以及我们对数据管理和存储的未来的看法。
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引用次数: 4
Evaluation of Maximum Range for Backscattering Communications Utilising Ambient FM radio signals 利用环境调频无线电信号进行后向散射通信的最大距离评估
Pub Date : 2022-08-22 DOI: 10.1109/BalkanCom55633.2022.9900759
Ritayan Biswas, Joonas Säe, Jukka Lempiäinen
The objective of this article is to evaluate the maximum range of ambient backscattering communications (AmBC). FM radio signals operating at 100 MHz are selected as the ambient signal due to their large communication ranges. The FM radio signals operate in one of the lowest commercially available frequency bands that can be utilized for AmBC. Additionally, due to the extensive deployment of FM radio, this technology is readily available worldwide. Simulations are performed in a rural highway environment to analyse the suitability of FM radio as an ambient signal for backscattering communications. The FM transmitter and receiver antenna are located in approximately the same area representing a monostatic form of operation for backscattering communications. The sensors are located in more or less the line of sight (LOS) of the TX/RX antenna. The FM signal is reflected back from the sensor towards the receiver for detection. The ray-tracing technique and the radar equation are utilized to perform the simulations. Based on the ray-tracing simulations, a distance of 14.5 km was obtained between the TX/RX antenna and the sensor. The achievable distances utilising the radar equation depend significantly on the cross-section of the sensor and different sizes were utilised in the simulations.
本文的目的是评估环境后向散射通信(AmBC)的最大范围。选择100兆赫的调频无线电信号作为环境信号,因为它们的通信范围大。调频无线电信号在可用于AmBC的最低商用频带之一中工作。此外,由于调频无线电的广泛部署,这项技术在世界范围内随时可用。在农村公路环境中进行了仿真,分析了调频无线电作为环境信号进行后向散射通信的适用性。调频发射机和接收机天线位于大约相同的区域,代表反向散射通信的单站操作形式。传感器位于或多或少的视线(LOS)的TX/RX天线。调频信号从传感器反射回接收器以供检测。利用射线跟踪技术和雷达方程进行了仿真。通过射线跟踪仿真,得到了TX/RX天线与传感器之间的距离为14.5 km。利用雷达方程的可实现距离在很大程度上取决于传感器的横截面,并且在模拟中使用了不同的尺寸。
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引用次数: 1
Discriminative Mutual Information Estimation for the Design of Channel Capacity Driven Autoencoders 信道容量驱动自编码器设计的判别互信息估计
Pub Date : 2021-11-15 DOI: 10.1109/BalkanCom55633.2022.9900818
N. A. Letizia, A. Tonello
The development of optimal and efficient machine learning-based communication systems is likely to be a key enabler of beyond 5G communication technologies. In this direction, physical layer design has been recently reformulated under a deep learning framework where the autoencoder paradigm foresees the full communication system as an end-to-end coding-decoding problem. Given the loss function, the autoencoder jointly learns the coding and decoding optimal blocks under a certain channel model. Because performance in communications typically refers to achievable rates and channel capacity, the mutual information between channel input and output can be included in the end-to-end training process, thus, its estimation becomes essential.In this paper, we present a set of novel discriminative mutual information estimators and we discuss how to exploit them to design capacity-approaching codes and ultimately estimate the channel capacity.
基于机器学习的最优高效通信系统的开发可能是超越5G通信技术的关键推动因素。在这个方向上,物理层设计最近在深度学习框架下重新制定,其中自动编码器范式将整个通信系统视为端到端编码解码问题。给定损失函数,自动编码器在一定信道模型下共同学习编译码的最优块。由于通信中的性能通常是指可实现的速率和信道容量,因此信道输入和输出之间的互信息可以包含在端到端训练过程中,因此对其估计变得至关重要。在本文中,我们提出了一组新的判别互信息估计器,并讨论了如何利用它们来设计容量逼近码并最终估计信道容量。
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引用次数: 1
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2022 International Balkan Conference on Communications and Networking (BalkanCom)
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