2021 IEEE Globecom Workshops (GC Wkshps)最新文献_第5页

A Machine Learning-based SDN Controller Framework for Drone Management 无人机管理中基于机器学习的SDN控制器框架

2021 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2021-12-01 DOI: 10.1109/GCWkshps52748.2021.9682027

Abbas Yazdinejad, Elnaz Rabieinejad, A. Dehghantanha, R. Parizi, Gautam Srivastava

{"title":"A Machine Learning-based SDN Controller Framework for Drone Management","authors":"Abbas Yazdinejad, Elnaz Rabieinejad, A. Dehghantanha, R. Parizi, Gautam Srivastava","doi":"10.1109/GCWkshps52748.2021.9682027","DOIUrl":"https://doi.org/10.1109/GCWkshps52748.2021.9682027","url":null,"abstract":"With the advancement of information and communication technology, Unmanned Aerial Vehicles (UAV), popularly known as drones, have also increased. The drones have been noted for their wide range of applications such as military, search and rescue operation, disaster detection and monitoring, agriculture, and delivery. Each type of drone has different characteristics and functionality based on its application, making them a security threat for some city zone. Therefore, there is an essential need for efficient drone management based on their type and application in different zones. To do this, we proposed a Machine learning (ML) based Software Defined Network (SDN) drone management framework. In this framework, the SDN controller uses ML with the drone’s radio frequency feature to detect its type and application and, according to its application, authenticate it and assign communication rules. SDN controller records authentication information in a DAG-based Distributed Ledger Technology (DLT) available for other SDN controllers. When a drone desires to migrate to another zone, the destination SDN controller can achieve authentication information by referring to DAG-based DLT, and there is no need for re-authentication. The experimental result shows authentication delay reduction in our proposed framework. Moreover, we adopted ML algorithms includes Decision Tree (DT), Random Forest (RF), Support Vector Machine (SVM), and Logistic Regression (LR), to evaluate our proposed framework in drone’s type classification. The result shows that the RF algorithm shows the best performance with 92.81% accuracy in the classification of the drone’s type.","PeriodicalId":6802,"journal":{"name":"2021 IEEE Globecom Workshops (GC Wkshps)","volume":"7 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88307068","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: 14

Securing Aerial Offloading via Intelligent Omni-Surface 通过智能全曲面确保空中卸载

2021 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2021-12-01 DOI: 10.1109/GCWkshps52748.2021.9682087

Wen Wang, Wanli Ni, Hui Tian

引用次数: 2

Multi-interface network framework for UAV management and data communications 用于无人机管理和数据通信的多接口网络框架

2021 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2021-12-01 DOI: 10.1109/GCWkshps52748.2021.9682019

Victor Sanchez-Agüero, M. Fas-Millán, F. Valera, I. Vidal, Alejandro Paniagua-Tineo, R. L. D. Silva, J. M. Manjón

引用次数: 1

Artificial Intelligence Enabled Self-healing for Mobile Network Automation 人工智能支持移动网络自动化的自修复

2021 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2021-12-01 DOI: 10.1109/GCWkshps52748.2021.9681937

M. Asghar, F. Ahmed, Jyri Hämäläinen

{"title":"Artificial Intelligence Enabled Self-healing for Mobile Network Automation","authors":"M. Asghar, F. Ahmed, Jyri Hämäläinen","doi":"10.1109/GCWkshps52748.2021.9681937","DOIUrl":"https://doi.org/10.1109/GCWkshps52748.2021.9681937","url":null,"abstract":"This paper presents an artificial intelligence enabled self-healing framework for cell outage detection and compensation in radio access networks. The developed framework consists of three modules, namely cell outage detection, cell outage compensation, and continuous optimization that work in closed-loop to detect outages, trigger recovery actions, and network optimization to minimize the impact of outages on user experience. The outage detection module is based on machine learning algorithms aimed to detect anomalies in the network performance data. Likewise, the cell outage compensation module uses fuzzy logic to determine compensation actions after an outage cell has been detected. The continuous optimization module is tasked with making incremental improvements to the network configuration through a heuristic approach. The developed self-healing framework is validated using a network simulator ns-3 based test environment. Results show the framework is capable of fully recovering from the outage in terms of accessibility and coverage. In addition, the cell edge reference signal received power is recovered by 45%, thereby significantly improving the network performance once the outage is detected.","PeriodicalId":6802,"journal":{"name":"2021 IEEE Globecom Workshops (GC Wkshps)","volume":"49 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86180220","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

TPC Message TPC消息

2021 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2021-12-01 DOI: 10.1109/gcwkshps52748.2021.9681941

引用次数: 0

LMS Channel Estimation Algorithm for IM/DD-OFDM/OQAM-PON Systems in 5G-Enabled Industrial Internet 5g工业互联网中IM/DD-OFDM/OQAM-PON系统的LMS信道估计算法

2021 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2021-12-01 DOI: 10.1109/GCWkshps52748.2021.9682111

Siyuan Liang, Xuefen Wang, Jianbo Du, Feng Zhao, Haotong Cao

引用次数: 1

Random Access Preamble Design for 3GPP Non-terrestrial Networks 3GPP非地面网络随机接入前导设计

2021 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2021-12-01 DOI: 10.1109/GCWkshps52748.2021.9681944

T. Khan, Xingqin Lin

引用次数: 4

An Unorthodox Security Framework using Adapted Blockchain Architecture for Internet of Drones 无人机互联网使用改编区块链架构的非正统安全框架

2021 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2021-12-01 DOI: 10.1109/GCWkshps52748.2021.9682109

Maninderpal Singh, G. Aujla, R. S. Bali

{"title":"An Unorthodox Security Framework using Adapted Blockchain Architecture for Internet of Drones","authors":"Maninderpal Singh, G. Aujla, R. S. Bali","doi":"10.1109/GCWkshps52748.2021.9682109","DOIUrl":"https://doi.org/10.1109/GCWkshps52748.2021.9682109","url":null,"abstract":"The evolution of drones from military applications to the consumer world has seen many technological developments. COVID-19 pandemic also witnessed the deployment of drones in a large number of citizen-centric applications. The increasing number of drones and limited operational arena should have a well-suited ecosystem for the success of collaborative operations. As a result, the Internet of Drones (IoD) emerged as a modular framework employing algorithmic coordination of drones. Although these developments have been welcomed they bring along a wide range of security challenges. Drones are highly mobile and they rely on wireless links to communicate among themselves and with the infrastructure. Moreover, they carry a lot of data related to the application where they are deployed. Thus, this brings attention to the security aspects involved in the IoD ecosystem, including various challenges and the mechanisms available to address those challenges. Though several conventional security techniques (like encryption, encoding, and hashing) are already available they are not fully optimized for the IoD environment. This mechanism involves an associated overhead and trade-offs when deployed in the IoD scenario due to limited computational capability of drones. Hence, this brings the necessity to explore alternative security mechanisms like blockchain. However, the conventional blockchain has its limitation of heavy computational primitives (like mining) and may not be useful for the IoD. Hence, we have proposed an unorthodox security framework using an adapted blockchain architecture for IoD. This unorthodox mechanism was validated in a simulated environment and proved to be suitable for the IoD ecosystem.","PeriodicalId":6802,"journal":{"name":"2021 IEEE Globecom Workshops (GC Wkshps)","volume":"17 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82349248","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

Double-RIS Assisted Over-the-Air Computation 双ris辅助空中计算

2021 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2021-12-01 DOI: 10.1109/GCWkshps52748.2021.9682077

Jun Li, Min Fu, Yong Zhou, Yuanming Shi

{"title":"Double-RIS Assisted Over-the-Air Computation","authors":"Jun Li, Min Fu, Yong Zhou, Yuanming Shi","doi":"10.1109/GCWkshps52748.2021.9682077","DOIUrl":"https://doi.org/10.1109/GCWkshps52748.2021.9682077","url":null,"abstract":"Over-the-air computation (AirComp) is a promising multiple-access scheme that seamlessly integrates the computation and communication by leveraging the waveform superposition properly of a multiple access channel. To unleash the full potential of AirComp, in this paper, we present a double-RIS assisted multiple-input multiple-output AirComp system, where two RISs are deployed to extend the effective coverage area and enhance the channel quality of randomly distributed sensors. We consider the cooperative passive beamforming design at RISs to further improve the performance. Our objective is to minimize the mean-squared error of AirComp by jointly optimizing the receive beamforming, denoising factor, transmit power control, cooperative passive beamforming design. The formulated problem is challenging to be optimally solved due to the coupled cooperative passive beamforming and transceiver variables. To this end, we propose an efficient algorithm based on the block coordinate descent method and semidefinite relaxation to obtain the receive beamforming at the AP and the cooperative passive beamforming at RISs after deriving the closed-form solutions for denoising factor and transmit power control. The numerical results validate that the double-RIS assisted AirComp system achieves a better performance compared to the single-RIS baseline in various system settings.","PeriodicalId":6802,"journal":{"name":"2021 IEEE Globecom Workshops (GC Wkshps)","volume":"6 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80348673","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

Optimizing the Configuration of Intelligent Reflecting Surfaces using Deep Learning 利用深度学习优化智能反射面的配置

2021 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2021-12-01 DOI: 10.1109/GCWkshps52748.2021.9682108

C. Sun, Navid Naderializadeh, M. Hashemi

引用次数: 0