2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC)最新文献_第2页

An Optimal Allocation Framework of Security Virtual Network Functions in 6G Satellite Deployments 6G卫星部署中安全虚拟网络功能优化分配框架

2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2022-01-08 DOI: 10.1109/CCNC49033.2022.9700728

A. Petrosino, G. Piro, L. Grieco, G. Boggia

{"title":"An Optimal Allocation Framework of Security Virtual Network Functions in 6G Satellite Deployments","authors":"A. Petrosino, G. Piro, L. Grieco, G. Boggia","doi":"10.1109/CCNC49033.2022.9700728","DOIUrl":"https://doi.org/10.1109/CCNC49033.2022.9700728","url":null,"abstract":"In the emerging 6G satellite deployments, the interaction between Non-Terrestrial Network terminals and satellite constellations will generate a large surface of attack, which requires the design of novel security architectures. The scientific literature suggests to implement security services as Virtual Network Functions, installed onboard the satellites. The dynamic orchestration of these services, however, still represents a challenging and open research issue. To bridge this gap, this paper presents a novel approach willing to allocate security Virtual Network Functions across satellites, in a dynamic and optimal way. To this end, an optimization problem is formulated by deeply considering the intermittent connectivity between terminals on the Earth and the satellite constellation, the limited computational capabilities of satellites, and the need to provide secure Virtual Network Functions before a given time deadline. Then, the Tabu Search algorithm is used to solve the optimization problem and achieve preliminary results in realistic scenarios. The study illustrates the feasibility of the proposed approach and highlights the issues to address in future research activities.","PeriodicalId":269305,"journal":{"name":"2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128995965","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: 4

Kinesthetic Coding Based on the Fast Wavelet Transform for Remote-Controlling a Quadrotor Drone 基于快速小波变换的四旋翼无人机遥控动觉编码

2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2022-01-08 DOI: 10.1109/CCNC49033.2022.9700722

Frank Engelhardt, Sophie Herbrechtsmeyer, M. Günes

引用次数: 0

On the Feasibility of Handwritten Signature Authentication Using PPG Sensor 基于PPG传感器的手写签名认证可行性研究

2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2022-01-08 DOI: 10.1109/CCNC49033.2022.9700557

A. B. M. M. Rahman, Yetong Cao, Xinliang Wei, Pu Wang, Fan Li, Yu Wang

引用次数: 4

CAVE-VR and Unity Game Engine for Visualizing City Scale 3D Meshes CAVE-VR和Unity游戏引擎用于可视化城市规模3D网格

2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2022-01-08 DOI: 10.1109/CCNC49033.2022.9700515

Calvin Davis, Jaired Collins, Joshua Fraser, Haoxiang Zhang, Shizeng Yao, Emily Lattanzio, Bimal Balakrishnan, Ye Duan, P. Calyam, K. Palaniappan

{"title":"CAVE-VR and Unity Game Engine for Visualizing City Scale 3D Meshes","authors":"Calvin Davis, Jaired Collins, Joshua Fraser, Haoxiang Zhang, Shizeng Yao, Emily Lattanzio, Bimal Balakrishnan, Ye Duan, P. Calyam, K. Palaniappan","doi":"10.1109/CCNC49033.2022.9700515","DOIUrl":"https://doi.org/10.1109/CCNC49033.2022.9700515","url":null,"abstract":"Modeling and simulation of large urban regions is beneficial for a range of applications including intelligent transportation, smart cities, infrastructure planning, and training artificial intelligence for autonomous navigation systems including ground vehicles and aerial drones. Immersive environments including virtual reality (VR), augmented reality (AR), mixed reality (MR or XR) can be used to explore city scale regions for planning, design, training and operations. Virtual environments are in the midst of rapid change as innovations in display tech-nologies, graphics processors and game engine software present new opportunities for incorporating modeling and simulation into engineering workflows. Game engine software like Unity with photorealistic rendering and realistic physics have plug-in support for a variety of virtual environments. In this paper, we explore the visualization of urban scale real world accurate meshes in virtual environments, including the Microsoft HoloLens head mounted display or the CAVE VR for multi-user interaction.","PeriodicalId":269305,"journal":{"name":"2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130337546","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: 5

Quality-Aware Video Analytics in Edge Computing Environments 边缘计算环境中的质量感知视频分析

2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2022-01-08 DOI: 10.1109/CCNC49033.2022.9700719

Mohammad Nazmus Sadat, Erwin Vargas-Alfonso, Rui Dai

{"title":"Quality-Aware Video Analytics in Edge Computing Environments","authors":"Mohammad Nazmus Sadat, Erwin Vargas-Alfonso, Rui Dai","doi":"10.1109/CCNC49033.2022.9700719","DOIUrl":"https://doi.org/10.1109/CCNC49033.2022.9700719","url":null,"abstract":"Edge computing has opened new doors for real-time video analytics applications due to its ability to offer significantly faster response times by processing videos near the source. However, the limited computing capabilities of edge devices can affect the quality of video analysis. While the existing literature has focused on minimizing latency, the quality aspect needs to be rigorously investigated to satisfy the high accuracy requirements of video analytics applications. This paper proposes a new quality-aware video analytics framework for edge networks. First, a real-time video analytics platform based on edge computing is designed and implemented. Then, the impacts of different factors on the quality and the overall latency of edge computing-based video analysis are investigated. Next, the trade-off between the video analysis quality and the latency, i.e., computation benefits at the edge vs. remote server, is studied. Finally, a quality-aware edge computing-based video analytics framework (QVAF) is designed to minimize the total latency while guaranteeing a required detection accuracy. Evaluation results show that QVAF could significantly improve response times across different detection accuracy requirements.","PeriodicalId":269305,"journal":{"name":"2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130497618","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: 1

A Comprehensive Analysis on Network Slicing for Smart Hospital Applications 面向智慧医院应用的网络切片综合分析

2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2022-01-08 DOI: 10.1109/CCNC49033.2022.9700535

Shalitha Wijethilaka, P. Porambage, C. D. Alwis, Madhusanka Liyanage

引用次数: 3

Self-Optimization of Cellular Networks Using Deep Reinforcement Learning with Hybrid Action Space 基于混合动作空间的深度强化学习的蜂窝网络自优化

2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2022-01-08 DOI: 10.1109/CCNC49033.2022.9700651

Mariam M. N. Aboelwafa, Ghada H. Alsuhli, Karim Banawan, Karim G. Seddik

{"title":"Self-Optimization of Cellular Networks Using Deep Reinforcement Learning with Hybrid Action Space","authors":"Mariam M. N. Aboelwafa, Ghada H. Alsuhli, Karim Banawan, Karim G. Seddik","doi":"10.1109/CCNC49033.2022.9700651","DOIUrl":"https://doi.org/10.1109/CCNC49033.2022.9700651","url":null,"abstract":"Wireless networks have been going through tremendous proliferation recently. As a result, a continuous configuration and management are necessary to sustain a balanced performance while facing such continued growth and endless changes. A self-managed network is required to replace manual management, which is costly, time-consuming, and error-prone. In this paper, we propose a machine-learning-based cellular network management system. The proposed system aims to enhance the network stability and adaptability to temporal changes (e.g., load imbalances across cells). The presented approach is a deep reinforcement learning scheme that enables a network manager to learn a policy that maximizes the network average sum throughput while trying to minimize the consumed energy and the number of blocked users. In addition to controlling the transmitted power and the cell individual offset, MIMO can be switched ON and OFF to control the consumed energy without affecting the quality of service. This results in a hybrid action space, i.e., our action vector has some binary actions as well as continuous actions. We present a novel algorithm to deal with this hybrid action space. Our results reveal that our proposed algorithm is flexible, efficient, and reliable. We report significant performance gains compared to some baselines (without self-management) and previously proposed algorithms.","PeriodicalId":269305,"journal":{"name":"2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116255230","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: 4

Object Estimation Method for Edge Devices Inspired by Multimodal Information Processing in the Brain 基于大脑多模态信息处理的边缘设备目标估计方法

2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2022-01-08 DOI: 10.1109/CCNC49033.2022.9700655

Ryoga Seki, D. Kominami, H. Shimonishi, Masayuki Murata, Masaya Fujiwaka

引用次数: 1

De-prioritization Impact of LCH-based Prioritization for Industrial Internet of Things in 3GPP NR 基于lch的优先级对3GPP NR中工业物联网的去优先级影响

2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2022-01-08 DOI: 10.1109/CCNC49033.2022.9700666

S. Baek, Anil Agiwal, Jaehyuk Jang

{"title":"De-prioritization Impact of LCH-based Prioritization for Industrial Internet of Things in 3GPP NR","authors":"S. Baek, Anil Agiwal, Jaehyuk Jang","doi":"10.1109/CCNC49033.2022.9700666","DOIUrl":"https://doi.org/10.1109/CCNC49033.2022.9700666","url":null,"abstract":"As a component of wireless Industrial Internet of Things (IIoT), LCH-based Prioritization has been recently introduced in Third Generation Partnership Project (3GPP)’s latest release of radio communications standards. This paper mathematically analyzes latency performance of LCH-based Prioritization whose major scenario is that multiple IIoT data flows are simultaneously served by a single user equipment. Closed-form expressions of mean waiting time and required periodicity of Configured Grant (CG) which carries the IIoT data flows are derived. Numerical and simulation results show that LCH-based Prioritization would degrade the performance of IIoT data flows with slightly lower priority de-prioritized by higher priority data, and more frequent resource allocation called over-provisioning is required to meet the latency requirements of all served IIoT data flows. Also, we investigate the efficiency of the over-provisioning affected by lower priority IIoT data flows. To increase the resource efficiency and reduce latency of the standardized LCH-based Prioritization, a scheduling enhancement scheme called Padding BSR-Triggered Resource Allocation (PBTRA) is proposed. PBTRA effectively mitigates the de-prioritization impact of lower priority IIoT data flows. This shows that the standalone LCH-based Prioritization is not sufficient and gNB scheduler’s assistance should be essentially considered for efficient support of IIoT services.","PeriodicalId":269305,"journal":{"name":"2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125978361","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

Characterization of Magnetic Communication Through Human Body 人体磁通信特性研究

2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2022-01-08 DOI: 10.1109/CCNC49033.2022.9700669

R. K. Gulati, Sayemul Islam, Amitangshu Pal, K. Kant, Albert Kim

引用次数: 2