2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC)最新文献_第8页

Effects of Vehicular Blockage on Latency in 5G mm Wave Systems with Dynamic Point Selection 车辆阻塞对动态选点5G毫米波系统延迟的影响

2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2020-01-01 DOI: 10.1109/CCNC46108.2020.9045705

Anusha Gunturu, Ashok Kumar Reddy Chavva, Virendra Kumar

{"title":"Effects of Vehicular Blockage on Latency in 5G mm Wave Systems with Dynamic Point Selection","authors":"Anusha Gunturu, Ashok Kumar Reddy Chavva, Virendra Kumar","doi":"10.1109/CCNC46108.2020.9045705","DOIUrl":"https://doi.org/10.1109/CCNC46108.2020.9045705","url":null,"abstract":"Ahstract-5G millimeter wave(mmWave) systems are prone to blockage from various objects in the typical propagation environment. Among these, human blockage and vehicular blockage are more prominent scenarios that can lead to link failure. In this paper, we analyze the effect of vehicular blockage on 5G mmWave systems using stochastic geometric models. Using this analysis, we derive the blockage probability of the link and provide a relation to latency in communication with vehicular blockage in various scenarios. Further, we show and quantify the fact that with dynamic point selection (DPS) scheme where user maintains simultaneous links with geographically separated transmit and receive points (TRP), the coverage probability can be improved significantly and the latency due to blockage can be reduced. We analyze the blockage probability and latency for DPS system in terms of blocker density, length and typical speed of the vehicle and number of simultaneous links maintained by the user. The proposed analytical model is validated using system level simulations. We show the trade off between the number of simultaneous links and latency using these results which helps in 5G system design for latency critical applications.","PeriodicalId":443862,"journal":{"name":"2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114844615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Delay Impacts on EEG-Based Determination of the Human Visual Interface QoE for Virtual and Augmented Realities 延迟对基于脑电图的虚拟与增强现实人机界面QoE确定的影响

2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2020-01-01 DOI: 10.1109/CCNC46108.2020.9045212

P. Seeling, F. Fitzek

{"title":"Delay Impacts on EEG-Based Determination of the Human Visual Interface QoE for Virtual and Augmented Realities","authors":"P. Seeling, F. Fitzek","doi":"10.1109/CCNC46108.2020.9045212","DOIUrl":"https://doi.org/10.1109/CCNC46108.2020.9045212","url":null,"abstract":"The emergence of 5G services includes those requiring extremely low-latency for command and control application scenarios in the low millisecond range. With a significant human-machine interaction component, the Tactile Internet will require that the experiences based on the human visual interface can be dynamically adjusted within similar time frames. In this paper, we evaluate the impact that different delays currently attainable with commercial hardware would have on predicting the Quality of Experience (QoE) with immersive images. Specifically, we employ electroencephalography (EEG) data to predict how future subjects would determine the media quality in a Passive Human In-the-Loop (PHIL) scenario. This initial extension of our prior work focuses specifically on the delay in the gathering and processing of data and presents a first foray of bringing the passive human-in-the-loop QoE adjustment approach to the Tactile Internet. We find that there is limited value in increasing the delays of two different approaches to predicting the QoE. We additionally note that current approaches to predicting a user's QoE based on other users' EEG patterns exhibit only limited prediction accuracy.","PeriodicalId":443862,"journal":{"name":"2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127527149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Smart Grids for Smarter Cities 智慧城市的智能电网

2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2020-01-01 DOI: 10.1109/CCNC46108.2020.9045309

Riccardo Bonetto, I. Sychev, Oleksandr Zhdanenko, Abdelrahman Abdelkader, F. Fitzek

引用次数: 6

A Machine Learning-Based Technique for the Classification of Indoor/Outdoor Cellular Network Clients 基于机器学习的室内/室外蜂窝网络客户端分类技术

2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2020-01-01 DOI: 10.1109/CCNC46108.2020.9045473

Kareem Abdullah, Sara A. Attalla, Y. Gadallah, A. Elezabi, Karim G. Seddik, Ayman Gaber, Dina, Samak

引用次数: 5

Outage Probability-based Adaptive Guard Band Allocation for Mixed Numerology 基于中断概率的混合数字命理自适应保护带分配

2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2020-01-01 DOI: 10.1109/CCNC46108.2020.9045157

Eungkuk Nam, Taehyun Kim, Joosung Park, Kitaek Bae

引用次数: 2

NCSbench Demo: Reproducible Benchmarking Platform for Networked Control Systems NCSbench演示:可复制的网络控制系统基准测试平台

2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2020-01-01 DOI: 10.1109/CCNC46108.2020.9045298

Samuele Zoppi, Onur Ayan, Fabio Molinari, Z. Music, Sebastian Gallenmüller, G. Carle, W. Kellerer

{"title":"NCSbench Demo: Reproducible Benchmarking Platform for Networked Control Systems","authors":"Samuele Zoppi, Onur Ayan, Fabio Molinari, Z. Music, Sebastian Gallenmüller, G. Carle, W. Kellerer","doi":"10.1109/CCNC46108.2020.9045298","DOIUrl":"https://doi.org/10.1109/CCNC46108.2020.9045298","url":null,"abstract":"Cyber-Physical Systems (CPS) are widely spreading thanks to fast-paced technological breakthroughs of microcontrollers and communication networks. Among them, Networked Control Systems (NCS) gained notable attention thanks to their application in industrial operations. In NCS, the interconnection of a control logic with sensors and actuators used to steer a physical system occurs over a communication network. Despite large research interest on NCS, the reproducibility and comparison of experimental results are difficult to achieve. This is caused by the lack of well-established models and methodologies that combine the theoretical and practical aspects of NCS. We tackle this problem by proposing and demonstrating NCSbench: the first open-source reproducible benchmarking platform for NCS. NCSbench enables the benchmarking of research experiments using a networked two-wheeled inverted pendulum robot. For each benchmarking experiment, a set of values is measured and used to quantify the key performance indicators (KPIs) of the NCS. In our demonstration, we visualize in real-time the evolution of the benchmarking KPIs on a web-based Graphical User Interface.","PeriodicalId":443862,"journal":{"name":"2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122083648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Proposal of service framework for information sharing based on delay tolerant networks 基于容延迟网络的信息共享服务框架的提出

2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2020-01-01 DOI: 10.1109/CCNC46108.2020.9045244

S. Sugiura, Yuki Yamada, Toru Yoshizaki, K. Naito

引用次数: 1

Proof-of-Concept of Uncompressed 4K Video Transmission from Drone through mmWave 无人机通过毫米波传输未压缩4K视频的概念验证

2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2020-01-01 DOI: 10.1109/CCNC46108.2020.9045397

Y. Takaku, Yohei Kaieda, Tao Yu, K. Sakaguchi

{"title":"Proof-of-Concept of Uncompressed 4K Video Transmission from Drone through mmWave","authors":"Y. Takaku, Yohei Kaieda, Tao Yu, K. Sakaguchi","doi":"10.1109/CCNC46108.2020.9045397","DOIUrl":"https://doi.org/10.1109/CCNC46108.2020.9045397","url":null,"abstract":"Drones are attracting increasing attention in varieties of research fields because of their flexibility and are expected to be applied to a wide range of potential applications, among which the super-high-resolution video surveillance system using drones especially gains the authors' research attention. Surveillance systems using cameras with fixed locations always suffer the blind spots due to the blockage or inappropriate deployments. Instead, by using the drones equipped with cameras, the surveillance performance can be drastically improved due to their high mobilities. The video quality is also a key factor of the surveillance performance. In face recognition, one of the most important surveillance applications, the uncompressed video can greatly improve the detection accuracy, but it is difficult to transmit uncompressed video in real time due to the huge data sizes. To address the issue, we propose to use the ultra-high speed mmWave communication for the video transmission from drones. Moreover, due to the limited battery energy and computing power in drones, we introduce the edge computing and propose to offload all the computation from the drones to the ground station. In addition, a proof-of-concept prototype hardware of the proposed uncompressed 4K video transmission system from drones through mmWave is developed, and the experiments results are consistent with the system design expectations.","PeriodicalId":443862,"journal":{"name":"2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC)","volume":"340 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133491686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Impact of Hardware Impairments on Cognitive Satellite-Terrestrial Relaying with a Direct Link 硬件损伤对具有直接链路的认知星-地中继的影响

2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2020-01-01 DOI: 10.1109/CCNC46108.2020.9045578

Vibhum Singh, Sourabh Solanki, P. K. Upadhyay, D. B. D. Costa, J. M. Moualeu

引用次数: 1

Using Coalitional Game for Bandwidth-aware Fast Failover in Distributed SDN Environment 基于联合博弈的分布式SDN环境下带宽感知快速故障转移

2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2020-01-01 DOI: 10.1109/CCNC46108.2020.9045719

Jia-Wei Li, Chun-Chien Teng, Ta-Wei Yang, Cheng-Fu Chou

引用次数: 1