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2018 International Conference on Information and Communication Technology Convergence (ICTC)最新文献

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3D Beamforming for 5G Millimeter Wave Systems Using Singular Value Decomposition and Particle Swarm Optimization Approaches 基于奇异值分解和粒子群优化方法的5G毫米波系统三维波束形成
Osama Alluhaibi, Manish Nair, Amjed Hazzaa, Aza Mihbarey, Jiangzhou Wang
Millimeter wave (mmWave) systems are one of the proposed solutions for the fifth generation (5G) mobile network. However, mmWave system experiences strong path loss due to higher frequencies. To solve this problem, such a system demands a narrow beampattern to reduce the loss of the mmWave signal energy due to the high path loss. One of the significant challenges to be addressed before their deployment is designing three dimensional (3D) beamforming algorithms, which are required to be directional. In this paper, we first propose two 3D beamforming algorithms with aim of tracking users in both the azimuth and elevation planes. Our proposed beamforming algorithms operates based on the principles of singular value decomposition (SVD) and particle swarm optimization (PSO). Furthermore, these beam-forming algorithms are designed to have limited or negligible side lobes, which cause less interference to the other users operating in the same cell. In order to achieve this objective, Kaiser Bessel (KB) filter is adopted which helps in mitigating side lobes in the synthesized beampattern. Based on our analysis, we gain some valuable insights. The proposed algorithms are shown to perform well in achieving considerable capacity and lower side lobs.
毫米波(mmWave)系统是第五代(5G)移动网络的拟议解决方案之一。然而,由于频率较高,毫米波系统会经历强烈的路径损耗。为了解决这个问题,这种系统需要窄波束模式,以减少由于高路径损耗而导致的毫米波信号能量损失。在部署之前需要解决的一个重大挑战是设计三维(3D)波束形成算法,该算法需要具有方向性。在本文中,我们首先提出了两种三维波束形成算法,目的是在方位角和仰角平面上同时跟踪用户。我们提出的波束形成算法基于奇异值分解(SVD)和粒子群优化(PSO)的原理。此外,这些波束形成算法被设计成具有有限或可忽略的侧瓣,这对在同一小区中操作的其他用户造成的干扰较小。为了实现这一目标,采用了Kaiser Bessel (KB)滤波器,该滤波器有助于减轻合成波束图中的侧瓣。根据我们的分析,我们获得了一些有价值的见解。所提出的算法在实现相当大的容量和较低的侧波方面表现良好。
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引用次数: 8
ICTC 2018 Technical Paper Sessions ICTC 2018技术文件会议
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引用次数: 0
Enabling Communication Technologies for Automated Unmanned Vehicles in Industry 4.0 为工业4.0中的自动无人驾驶车辆启用通信技术
Amina Fellan, Christian Schellenberger, Marc Zimmermann, H. Schotten
Within the context of Industry 4.0, mobile robot systems such as automated guided vehicles (AGVs) and unmanned aerial vehicles (UAVs) are one of the major areas challenging current communication and localization technologies. Due to stringent requirements on latency and reliability, several of the existing solutions are not capable of meeting the performance required by industrial automation applications. Additionally, the disparity in types and applications of unmanned vehicle (UV) calls for more flexible communication technologies in order to address their specific requirements. In this paper, we propose several use cases for UVs within the context of Industry 4.0 and consider their respective requirements. We also identify wireless technologies that support the deployment of UVs as envisioned in Industry 4.0 scenarios.
在工业4.0的背景下,自动导引车(agv)和无人驾驶飞行器(uav)等移动机器人系统是挑战当前通信和定位技术的主要领域之一。由于对延迟和可靠性的严格要求,现有的一些解决方案无法满足工业自动化应用对性能的要求。此外,无人驾驶车辆(UV)的类型和应用的差异需要更灵活的通信技术,以满足其特定要求。在本文中,我们提出了工业4.0背景下紫外线的几个用例,并考虑了它们各自的要求。我们还确定了支持工业4.0场景中设想的uv部署的无线技术。
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引用次数: 23
Structure of Enhanced QoS for Vehicular Network 车载网络增强QoS的结构研究
Shin-Kyung Lee
Recent V2X communication technology provides safety and service information in real time for autonomous driving. It has been researched more improved performance rather than legacy wireless access in vehicular environments (WAVE) through high data rate and low packet latency. However, quality of service(QoS) cannot currently be guaranteed, because original physical and medium access control(MAC) layer have been optimized for low mobility. This paper focuses on the implementation of enhanced MAC layer of WAVE and proposes a new channel access method for QoS.
最近的V2X通信技术为自动驾驶提供了实时的安全和服务信息。通过高数据速率和低数据包延迟,研究了比传统车载环境无线接入(WAVE)性能更高的无线接入技术。但由于原有的物理层和MAC层针对低移动性进行了优化,目前无法保证服务质量(QoS)。本文重点研究了WAVE增强MAC层的实现,提出了一种新的信道访问方法。
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引用次数: 1
Long-Range Transmission of Photovoltaic Climate Information through the LoRa Radio 利用LoRa无线电进行光伏气候信息的远程传输
Jindoo Jeong, Youngmee Shin, Il-Woo Lee
Photovoltaic (PV) representing clean renewable energy is increasingly attracting attention by the Republic of Korea government's announcement of the renewable energy 3020 implementation plan. Monitoring of the PV climate information is essential to achieve sustainably high performance ratio of the PV plant through the efficient maintenance and to support stable grid connection of the PV plant through the prediction of the solar power generation. In this paper, in order to investigate the usefulness of the LoRa communication for monitoring the climate information of the PV power plant, a test about communication range is performed with a LoRa transceiver which is composed of the Arduino board and the RaspberryPi module in the terms of hardware, and which is implemented with a commercial protocol of the communication converter in the terms of software. It is shown from test results that the communication range for the transmission of the PV climate information reaches 1.3 km in the vicinity of Daddeok Research Complex in Daejon.
随着韩国政府公布《可再生能源3020实施计划》,作为清洁可再生能源的光伏(PV)日益受到关注。光伏气候信息的监测是通过高效维护实现光伏电站持续高性能的必要条件,也是通过太阳能发电预测支持光伏电站稳定并网的必要条件。本文为了考察LoRa通信对光伏电站气候信息监测的实用性,在硬件上采用Arduino板和RaspberryPi模块组成的LoRa收发器,在软件上采用通信转换器的商用协议实现LoRa收发器的通信范围测试。试验结果显示,在大田大德研究园区附近,PV气候信息传输的通信距离达到1.3公里。
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引用次数: 3
Dynamic Load Balancing Mechanism in Mobile Gateway with Heterogeneous Network 异构网络下移动网关的动态负载均衡机制
Taeheum Na, Hoyong Ryu, Taeyeon Kim, Jaehyung Park, Sangjin Hong, Pyungkoo Park
Due to the increasing popularity and the need for cloud computing systems, new paradigms and models such as fog and edge computing have recently emerged. The researches on mobile edge computing, including 5G, are focused on virtual network function placement for communication performance. Mobility studies of heterogeneous networks have been carried out in network mobility (NEMO), vehicular ad hoc networks (VANET), and telematics technology. Mobile gateways play an important role in communication between things/mobile users and networks. However, mobile gateways have a difficulty on maintaining the communication link in a wireless environment due to obstacles and unstable connections with devices. In this paper proposes a dynamic load balancing approach in order that the multi-network mobile gateway (MNMG) distributes its traffic to one of several heterogeneous networks. For high utilization of networks, the MNMG distributes traffic dynamically by reflecting each network state. To evaluate the performance of the proposed approach, experiments is performed on real commercial networks consisting of the MNMG with the proposed load balancing were used in Korea, Thailand and India.
由于云计算系统的日益普及和需求,最近出现了雾计算和边缘计算等新的范式和模型。包括5G在内的移动边缘计算的研究主要集中在通信性能的虚拟网络功能放置上。异构网络的移动性研究已经在网络移动性(NEMO)、车辆自组织网络(VANET)和远程信息处理技术中进行。移动网关在物/移动用户与网络之间的通信中起着重要的作用。然而,移动网关在无线环境中由于障碍物和与设备的连接不稳定而难以维持通信链路。本文提出了一种动态负载均衡方法,使多网移动网关(MNMG)将流量分配到多个异构网络中的一个。为了提高网络利用率,MNMG通过反映各个网络的状态来动态分配流量。为了评估所提出的方法的性能,在韩国、泰国和印度的实际商业网络上进行了实验,这些网络由具有所提出的负载均衡的MNMG组成。
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引用次数: 0
Haze Simulation Based on a Physical Modeling and Improved Image Visibility Restoration 基于物理建模和改进图像可视性恢复的雾霾模拟
Dongwan Ryoo, Kyung-Kyu Kang, Changjoon Park
In this paper, we design hazing based on a physical modeling and propose a method to dehaze by efficiently estimating the transmission amount from fog images. He [9] proposed a single image visibility restoration method using dark channel prior (DCP). Among many algorithms, this DCP algorithm is known to have good performance in various fog images. However, this method requires matting processing, which requires a large amount of computation to refine the block type of the transmission amount. In this paper, we propose an improved image visibility restoration algorithm that estimates the transmission amount using a hybrid-type multi-filter based on edge intensity information to more accurately remove haze at the boundary. Through the experiment of a proposed algorithm, we show that haze is effectively eliminated without using matting processing. In particular, the algorithm is more effective at the boundary region.
本文基于物理模型设计雾霾,提出了一种有效估计雾图像透射量的去霾方法。他[9]提出了一种基于暗通道先验(dark channel prior, DCP)的单幅图像可见性恢复方法。在众多算法中,DCP算法在各种雾图像中都有很好的表现。但是这种方法需要进行消光处理,需要进行大量的计算来细化传输量的块类型。在本文中,我们提出了一种改进的图像可见性恢复算法,该算法使用基于边缘强度信息的混合型多滤波器估计透射量,以更准确地去除边界处的雾霾。通过实验表明,该算法在不使用消光处理的情况下可以有效地消除雾霾。特别是,该算法在边界区域更有效。
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引用次数: 0
Similarity Hash Index 相似性哈希索引
Sunoh Choi, Youngsoo Kim, Jonghyun Kim
Hundreds of thousands of new malicious files are being created every day. Existing pattern-based vaccine engines cannot detect these new malicious files. To solve these problems, artificial intelligence based malicious file detection methods have been proposed. However, artificial intelligence based malicious file detection method has a disadvantage that takes long time because it requires dynamic analysis. We can use similarity hashes to solve these problems and find similar files. However, it also takes a long time to compare similarity hashes when there are many files. To solve this problem, this paper proposes a method to generate similarity hash index.
每天都有成千上万的新的恶意文件被创建出来。现有的基于模式的疫苗引擎无法检测到这些新的恶意文件。为了解决这些问题,提出了基于人工智能的恶意文件检测方法。然而,基于人工智能的恶意文件检测方法由于需要进行动态分析,其缺点是耗时较长。我们可以使用相似性哈希来解决这些问题并找到相似的文件。但是,当有许多文件时,比较相似性散列也需要很长时间。为了解决这一问题,本文提出了一种生成相似哈希索引的方法。
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引用次数: 1
Artificial Intelligence in 5G Technology: A Survey 5G技术中的人工智能:调查
Manuel Eugenio Morocho-Cayamcela, W. Lim
A fully operative and efficient 5G network cannot be complete without the inclusion of artificial intelligence (AI) routines. Existing 4G networks with all-IP (Internet Protocol) broadband connectivity are based on a reactive conception, leading to a poorly efficiency of the spectrum. AI and its subcategories like machine learning and deep learning have been evolving as a discipline, to the point that nowadays this mechanism allows fifth-generation (5G) wireless networks to be predictive and proactive, which is essential in making the 5G vision conceivable. This paper is motivated by the vision of intelligent base stations making decisions by themselves, mobile devices creating dynamically-adaptable clusters based on learned data rather than pre-established and fixed rules, that will take us to a improve in the efficiency, latency, and reliability of the current and real-time network applications in general. An exploration of the potential of AI-based solution approaches in the context of 5G mobile and wireless communications technology is presented, evaluating the different challenges and open issues for future research.
如果没有人工智能(AI)例程,一个全面运行和高效的5G网络是不完整的。现有的全ip(互联网协议)宽带连接的4G网络基于被动概念,导致频谱效率低下。人工智能及其子类别(如机器学习和深度学习)一直在作为一门学科发展,如今这种机制允许第五代(5G)无线网络具有预测性和主动性,这对于实现5G愿景至关重要。本文的动机是智能基站自己做出决策的愿景,移动设备基于学习数据而不是预先建立和固定的规则创建动态适应性集群,这将使我们提高当前和实时网络应用的效率、延迟和可靠性。探讨了在5G移动和无线通信技术背景下基于人工智能的解决方案方法的潜力,评估了未来研究的不同挑战和开放问题。
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引用次数: 75
Smart Livestock Farms Using Digital Twin: Feasibility Study 使用数字孪生的智能牲畜农场:可行性研究
Seng-Kyoun Jo, Dae-Heon Park, Hyeon Park, Sehan Kim
While the convergence of ICT in various industries is actively under progress, there is still the nontrivial matter of the livestock industry being smarter and safer. This problem can cause unnecessary expenses in the case of various diseases due to the contamination of livestock farms. In this paper, we propose a design concept of a smart pig farm using digital twin for improving animal welfare as a feasibility study. Digital twin is the digital replica of the real world and is becoming more attractive with the realization of the industry 4.0. Due to the deployment of digital twin, livestock farming has been replicated and simulated to be more vigorous against livestock disorders in the virtual world and applies outcomes to livestock farms in the real world.
虽然信息通信技术在各行各业的融合正在积极进行,但畜牧业的智能化和安全性仍然是一个不容忽视的问题。如果畜牧场受到污染,发生各种疾病,就会产生不必要的费用。在本文中,我们提出了一个使用数字孪生来改善动物福利的智能养猪场的设计概念作为可行性研究。数字孪生是现实世界的数字复制品,随着工业4.0的实现而变得越来越有吸引力。由于数字孪生的部署,畜牧业已被复制和模拟,以更有力地应对虚拟世界中的牲畜疾病,并将结果应用于现实世界的牲畜养殖场。
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引用次数: 43
期刊
2018 International Conference on Information and Communication Technology Convergence (ICTC)
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