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2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN)最新文献

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On the Performance Evaluation of 5G MIMO Networks employing NOMA via System-Link Level Simulations 基于系统链路级仿真的NOMA 5G MIMO网络性能评估
Pub Date : 2021-11-25 DOI: 10.1109/icicn52636.2021.9673928
P. Gkonis, P. Trakadas, L. Sarakis, A. Giannopoulos, S. Spantideas, N. Capsalis
In this paper the performance of a proposed non-orthogonal multiple access (NOMA) scheme in a fifth-generation (5G) multicellular orientation is evaluated. To this end, a hybrid system-link level simulator has been developed, making the performance evaluation of 5G orientations feasible for various radio resource management strategies. In particular, simulations were performed for a two-tier cellular network (i.e., 57 active sectors) and multiple antennas at both transmission ends (multiple input multiple output - MIMO configuration). According to the presented results, considering a $2 times 2$ MIMO configuration, the total network throughput can be significantly increased when NOMA is employed, without any mean bit error rate (BER) deterioration compared to orthogonal multiple access (OMA) transmission. Importantly, this improvement is achieved with minimum transceiver complexity since the results were derived without employing successive interference cancellation at the receiver side.
本文对第五代(5G)多蜂窝方向下提出的非正交多址(NOMA)方案的性能进行了评估。为此,开发了一种混合系统链路级模拟器,使5G方向的性能评估对各种无线电资源管理策略可行。特别地,对两层蜂窝网络(即57个有源扇区)和传输两端的多个天线(多输入多输出- MIMO配置)进行了模拟。根据所提出的结果,考虑到$2 × 2$ MIMO配置,当采用NOMA时,总网络吞吐量可以显着提高,而与正交多址(OMA)传输相比,没有任何平均误码率(BER)下降。重要的是,这种改进是在最小的收发器复杂性下实现的,因为结果是在没有在接收端采用连续干扰抵消的情况下得出的。
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引用次数: 1
Design of Greenhouse Control System Based on Edge Computing 基于边缘计算的温室控制系统设计
Pub Date : 2021-11-25 DOI: 10.1109/icicn52636.2021.9674024
Wenlong Han, Ansong Feng, Jinchao Xiao, Shuangfei Zi
With the rapid development of greenhouse technology and Internet of things technology, more and more intelligent sensors are widely used in the field of intelligent agricultural control. The types of plant growth data obtained are more and more abundant, and the amount of data is more and more huge. The traditional data processing mode only relying on Cloud Computing Center will lead to the increasing demand for computing power, slow system response-speed, and high bandwidth network continuous connection and so on. If data processing can be solved locally, part of the previous cloud computing tasks will be migrated to the local, which will provide guarantee for low delay, high reliability, data conversion, message distribution and intelligent control. In this paper, based on the edge computing scheme, the computing task of cloud computing center is transferred to the edge controller, which effectively solves the problems of cloud computing network bandwidth, long delay, waste of resources and so on. In addition, aiming at the problem of high coupling of greenhouse environment, fuzzy control method is used to realize the rapid adjustment of greenhouse environment.
随着温室技术和物联网技术的快速发展,越来越多的智能传感器被广泛应用于智能农业控制领域。获得的植物生长数据种类越来越丰富,数据量也越来越庞大。传统的仅依靠云计算中心的数据处理模式会导致对计算能力的需求不断增加、系统响应速度慢、高带宽网络连续连接等问题。如果数据处理可以在本地解决,将原有的部分云计算任务迁移到本地,为低延迟、高可靠性、数据转换、消息分发和智能控制提供保障。本文基于边缘计算方案,将云计算中心的计算任务转移到边缘控制器上,有效解决了云计算网络带宽大、时延长、资源浪费等问题。此外,针对温室环境的高耦合问题,采用模糊控制方法实现温室环境的快速调节。
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引用次数: 0
Protecting Minors’ Personal Data in IoT-based Smart Homes According to GDPR 根据GDPR保护基于物联网的智能家居中的未成年人个人数据
Pub Date : 2021-11-25 DOI: 10.1109/icicn52636.2021.9673911
Stavroula Rizou, Eugenia Alexandropoulou-Egyptiadou, Y. Ishibashi, K. Psannis
Apart from the positive effects of smart homes, such as economic, energy, and security enhancements, and the focus on their efficiency and reliability, it should also be paid attention to the legal, ethical and social impacts of this ICT ecosystem. The field of children’s data protection is challenging, as they are likely more vulnerable to online risks, and as a result, their protection requires a specialized privacy-preserving scheme. This research work addresses the crucial issues of minors’ data protection, from a European law perspective, through IoT-based devices inside a smart home environment.
除了智能家居在经济、能源和安全方面的积极影响,以及对其效率和可靠性的关注外,还应关注这一ICT生态系统的法律、伦理和社会影响。儿童数据保护领域具有挑战性,因为他们可能更容易受到在线风险的影响,因此,他们的保护需要专门的隐私保护方案。这项研究工作从欧洲法律的角度出发,通过智能家居环境中基于物联网的设备解决了未成年人数据保护的关键问题。
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引用次数: 0
A Point-to-Point Security Communication System: Artificial Noise Jamming Insertion 点对点安全通信系统:人工噪声干扰的插入
Pub Date : 2021-11-25 DOI: 10.1109/icicn52636.2021.9673871
Dan Li, Xiao Ma, Weijia Han
This paper mainly studies the point-to-point security transmission problem. A point-to-point transmission scenario consists of legitimate device, an unauthorized device (eavesdropper) and a jamming device (jammer). Generally, unauthorized devices can eavesdrop on confidential information in wireless transmission. Current jamming techniques usually interfere with eavesdroppers while also reducing the reception signal-to-noise ratio of legitimate users. To cope with the above challenges, the broadband waveform OFDM (Orthogonal frequency division multiplexing, OFDM) jamming insertion technique and narrowband waveform PDM (power division multiplexing, PDM) jamming insertion are proposed. The technique inserts a jamming signal orthogonal to the message in the time frequency domains and the power domain, respectively. By changing the form of the whole signal, it can not only protect the communication between legitimate users, but also interfere with illegal eavesdropping users. The experimental results show that the proposed technique can effectively interfere with eavesdroppers and improve the quality of service of legitimate users.
本文主要研究点对点安全传输问题。点对点传输场景由合法设备、未授权设备(窃听器)和干扰设备(干扰器)组成。一般情况下,未经授权的设备可以在无线传输中窃听机密信息。目前的干扰技术通常在干扰窃听者的同时也降低了合法用户的接收信噪比。为应对上述挑战,提出了宽带波形OFDM(正交频分复用,OFDM)干扰插入技术和窄带波形PDM(功率分复用,PDM)干扰插入技术。该技术分别在时频域和功率域插入与报文正交的干扰信号。通过改变整个信号的形式,既可以保护合法用户之间的通信,又可以对非法窃听用户进行干扰。实验结果表明,该技术能够有效地干扰窃听者,提高合法用户的服务质量。
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引用次数: 1
Load Balancing Algorithm for Heterogeneous Wireless Networks Based on Motion State Estimation 基于运动状态估计的异构无线网络负载均衡算法
Pub Date : 2021-11-25 DOI: 10.1109/icicn52636.2021.9673943
Guo Shiwei
Different wireless access technologies are complementary in terms of coverage and data transmission rate. Some areas are often covered by multiple wireless access networks at the same time. In some crowded places, the user's movement state has a certain regularity. Therefore, a heterogeneous network load balancing algorithm based on motion state estimation is proposed. The user's motion state is estimated first, and then part of the load is transferred from the cellular network to the WLAN according to the estimation result. The results show that the proposed algorithm can effectively balance the load between heterogeneous networks and improve system efficiency.
不同的无线接入技术在覆盖范围和数据传输速率方面是互补的。有些地区往往同时被多个无线接入网覆盖。在一些人流密集的场所,用户的运动状态具有一定的规律性。为此,提出了一种基于运动状态估计的异构网络负载均衡算法。首先估计用户的运动状态,然后根据估计结果将部分负载从蜂窝网络转移到WLAN。结果表明,该算法能够有效地平衡异构网络之间的负载,提高系统效率。
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引用次数: 3
Social-Aware Cross-Chain Authentication Strategy in Mobile Edge Computing 移动边缘计算中社会感知跨链认证策略
Pub Date : 2021-11-25 DOI: 10.1109/icicn52636.2021.9673890
Jinghan Zhao, Hui Yang
With the rapid development of mobile edge computing (MEC), the amount of mobile devices and users is growing rapidly, and the distributed management architecture based on the blockchain technology is gradually used for the demand of trust and privacy protection in MEC. While most of the works focus on how to use blockchain to provide a secure and trusted environment in MEC, the problem of excessive authentication cost caused by repeated authentication has not been solved. This paper proposes a social-aware cross-chain authentication strategy in MEC. The concept of social network is introduced into MEC, based on data collected from the users, we can derive the social connection among users and select notaries from users with high credibility to cross the chain. Simulation results show that the proposed strategy can effectively reduce the system cost of distributed management architecture in MEC.
随着移动边缘计算(MEC)的快速发展,移动设备数量和用户数量快速增长,基于区块链技术的分布式管理架构逐渐被用于MEC中的信任和隐私保护需求。虽然大部分工作都集中在如何使用区块链在MEC中提供一个安全可信的环境,但由于重复认证而导致的认证成本过高的问题并没有得到解决。提出了一种具有社会意识的MEC跨链认证策略。将社交网络的概念引入到MEC中,通过收集用户的数据,推导出用户之间的社会联系,并从用户中选择可信度较高的公证员进行跨链。仿真结果表明,该策略可以有效降低MEC分布式管理架构的系统成本。
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引用次数: 1
Design and Development of On-Site Automatic Inspection System Based on Machine Vision Technology 基于机器视觉技术的现场自动检测系统设计与开发
Pub Date : 2021-11-25 DOI: 10.1109/icicn52636.2021.9673944
Bo Liu, H. Yin, Wangchang Miao, Ai-fang Zhang
Automatic System Management based on machine vision technology is the development direction of field management. At present, there are many problems in the process of field management, such as high personnel input, Long time-consuming inspection and tedious work flow. In order to solve these problems, an automatic inspection system based on machine vision technology is constructed by using machine vision technology, information technology, image contrast technology and system applications such as Docker and Kubernetes. Combining the system requirement analysis, from two aspects of function realization and system architecture, each module of the system is designed, the key process flow in the system operation is analyzed, and through the dynamic construction technology, the operation of the system is optimized from the recognition accuracy. The result of example verification shows that the system can provide service according to user’s needs correctly.
基于机器视觉技术的自动化系统管理是现场管理的发展方向。目前,现场管理过程中存在人员投入大、检查耗时长、工作流程繁琐等问题。为了解决这些问题,利用机器视觉技术、信息技术、图像对比技术以及Docker、Kubernetes等系统应用,构建了一个基于机器视觉技术的自动检测系统。结合系统需求分析,从功能实现和系统架构两个方面对系统的各个模块进行了设计,分析了系统运行中的关键流程,并通过动态构建技术,从识别精度上对系统的运行进行了优化。实例验证结果表明,该系统能够正确地根据用户需求提供服务。
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引用次数: 0
Neural Networks Applied for Broadcast Channels 神经网络在广播频道中的应用
Pub Date : 2021-11-25 DOI: 10.1109/icicn52636.2021.9673962
Mohammad Abuabdoh
The famous mathematical definition of the capacity region of broadcast channels assumes that the channel is a degraded. However, not all wireless communication channels can be mathematically represented as degrades ones. Motivated by the artificial intelligence revolution, this paper provides a novel approach for tackling this problem. In particular, this paper utilizes artificial neural networks for providing a solution for the problem of converting a broadcast channel into a degraded one. Creating a degraded channel implies modeling the broadcast channel as a series of cascaded channels connecting the transmitter to the receivers sequentially which in turn implies finding a middle (relay) channel connecting the receivers. This process of finding the middle channel is performed in this paper utilizing different models of neural networks. This approach is applied for binary symmetric channels and Gaussian channel. For the Gaussian case, this paper provides a novel approach for establishing the middle channel by providing an estimation of the distribution of the middle channel itself, not only the crossover probability or the variance of the distribution. As a result, several possible extensions for practical channels (like Rayleigh) is suggested. Furthermore, this paper provides an abundant evidence that artificial intelligent is capable of modernizing classical information theory that faces major problems with the complexity of the analytical solutions.
著名的广播信道容量区域的数学定义假设信道是降级的。然而,并不是所有的无线通信信道都可以在数学上表示为降级信道。在人工智能革命的推动下,本文为解决这一问题提供了一种新的方法。特别地,本文利用人工神经网络为广播信道转换为退化信道的问题提供了解决方案。创建降级信道意味着将广播信道建模为一系列级联信道,依次连接发射器和接收器,这反过来意味着找到连接接收器的中间(中继)信道。本文利用不同的神经网络模型来完成寻找中间信道的过程。该方法适用于二进制对称信道和高斯信道。对于高斯分布的情况,本文提供了一种建立中间信道的新方法,通过对中间信道本身的分布进行估计,而不仅仅是交叉概率或分布的方差。因此,对实际通道(如Rayleigh)提出了几种可能的扩展。此外,本文还提供了大量的证据,表明人工智能能够使经典信息论现代化,而经典信息论面临着解析解复杂的主要问题。
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引用次数: 0
Narrowband jamming Mitigation in OFDM Systems Using Time Domain Interleaving 利用时域交错技术缓解OFDM系统中的窄带干扰
Pub Date : 2021-11-25 DOI: 10.1109/icicn52636.2021.9673946
T. Nazzal, B. AlQassab, M. Alblooshi, F. Salman, H. Almarzooqi, H. Mukhtar
In this paper, Time Domain Interleaving (TDI) is proposed to mitigate narrowband jamming in orthogonal frequency division multiplexing (OFDM) systems. TDI is previously used as a physical layer security technique against eavesdropping attacks. In this work, TDI ability to reject narrowband jamming is demonstrated and evaluated in additive white Gaussian noise (AWGN) with Rayleigh fading. Different narrowband jamming scenarios are considered with different numbers and locations of jammed subcarriers. The obtained results show that TDI significantly improves the bit error rate (BER) performance of OFDM under narrowband jamming.
针对正交频分复用(OFDM)系统中的窄带干扰问题,提出了时域交织(TDI)技术。TDI以前被用作防止窃听攻击的物理层安全技术。在这项工作中,TDI在具有瑞利衰落的加性高斯白噪声(AWGN)中证明并评估了其抵抗窄带干扰的能力。考虑了不同的窄带干扰情况,干扰子载波的数量和位置不同。结果表明,在窄带干扰下,TDI可显著提高OFDM的误码率(BER)性能。
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引用次数: 0
Efficient Integration of XR with Haptic Feedback and 5G Networks XR与触觉反馈和5G网络的高效集成
Pub Date : 2021-11-25 DOI: 10.1109/icicn52636.2021.9674010
Georgios M. Minopoulos, Konstantinos E. Psannis, S. Goudos, S. Nikolaidis, G. Kokkonis, Y. Ishibashi
The speedy development of immersive technologies and unexpected situations like the COVID-19 pandemic are expected to boost the application of extended reality (XR) in tourism. Virtualization techniques can create a virtual environment identical to the real one, giving to the user the feeling of actually being there. The aim of haptic systems is to enhance the degree of immersion into a virtual environment by intensifying the skill of physical interaction with people and objects in the distant space. The advancement of cellular networks enables haptic data transmission over high data rate and low latency wireless communication to create ambient haptic experience. The contribution of this research is to describe how XR and haptics are able to reshape tourism industry and present insights for tourism involved parties.
沉浸式技术的快速发展和COVID-19大流行等意外情况有望推动扩展现实(XR)在旅游业中的应用。虚拟化技术可以创建与真实环境相同的虚拟环境,给用户一种身临其境的感觉。触觉系统的目标是通过加强与遥远空间中的人和物体的物理交互技能来提高沉浸在虚拟环境中的程度。蜂窝网络的进步使触觉数据能够以高数据速率和低延迟无线通信传输,以创造环境触觉体验。本研究的贡献在于描述了XR和触觉如何能够重塑旅游业,并为旅游相关方提供了见解。
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引用次数: 3
期刊
2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN)
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