2021 IEEE International Conference on Communications Workshops (ICC Workshops)最新文献_第4页

Miniaturized Optical Intersatellite Communication Terminal – CubeISL 小型卫星间光学通信终端CubeISL

2021 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2021-06-01 DOI: 10.1109/ICCWorkshops50388.2021.9473747

Benjamin Rödiger, C. Fuchs, Jorge Rosano Nonay, W. Jung, C. Schmidt

{"title":"Miniaturized Optical Intersatellite Communication Terminal – CubeISL","authors":"Benjamin Rödiger, C. Fuchs, Jorge Rosano Nonay, W. Jung, C. Schmidt","doi":"10.1109/ICCWorkshops50388.2021.9473747","DOIUrl":"https://doi.org/10.1109/ICCWorkshops50388.2021.9473747","url":null,"abstract":"The increasing request for higher data rates and the technical limitations of traditional radio-frequency channels in intersatellite communication requires solutions to overcome these obstacles. German Aerospace Center (DLR) has a long heritage in optical air-to-ground and space-to-ground transmission. Due to its high data rates, resistance against interferences and being free from regulations like from the International Telecommunication Union (ITU), Free Space Optical communication (FSO) provides solutions to overcome the challenges for satellite communication.Based on the developments in the \"OSIRIS4CubeSat\" project, DLR transfers the technology of laser communication on CubeSats from Direct to Earth (DTE) into the intersatellite domain. Therefore, the project \"CubeISL\" started with the goal to develop an optical intersatellite for CubeSats. This paper discusses possible mission scenarios where CubeISL terminals can be used, the research results of a feasibility analysis and the required technical adaptions, which will be realized in the near future.","PeriodicalId":127186,"journal":{"name":"2021 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125785304","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: 3

Digital Twins in Industrial IoT: a survey of the state of the art and of relevant standards 工业物联网中的数字孪生:最新技术和相关标准的调查

2021 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2021-06-01 DOI: 10.1109/ICCWorkshops50388.2021.9473889

M. Vuković, D. Mazzei, S. Chessa, G. Fantoni

引用次数: 10

Opportunistic Network Routing Strategy Based on Node Individual Community 基于节点个体社区的机会网络路由策略

2021 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2021-06-01 DOI: 10.1109/ICCWorkshops50388.2021.9473526

Lin Yu, Gang Xu, N. Zhang, Fengqi Wei

{"title":"Opportunistic Network Routing Strategy Based on Node Individual Community","authors":"Lin Yu, Gang Xu, N. Zhang, Fengqi Wei","doi":"10.1109/ICCWorkshops50388.2021.9473526","DOIUrl":"https://doi.org/10.1109/ICCWorkshops50388.2021.9473526","url":null,"abstract":"The spatio-temporal features of node movements are closely linked to the social relationships of nodes in opportunity networks with social attributes. Some community division-based routing algorithms are for nodes with identical or consistent community division attributes, which are more macroscopic and do not represent the role of individual network nodes. The paper builds probabilistic encounter social relations through encounters brought by node movements to highlight the role of individual nodes in the network and proposes an opportunity network routing strategy based on node individual communities based on node social relations. The strategy takes full account of the encounter characteristics of nodes in the network and constructs individual communities based on node centrality. Data transmission in opportunity networks is completed based on the individual community relationships of the nodes. It is experimentally verified that in opportunity networks with social attributes, the opportunity network routing strategy based on node individual communities proposed in the paper has a better quality in message delivery compared with the existing main opportunity routing algorithms.","PeriodicalId":127186,"journal":{"name":"2021 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127125366","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

Monitoring Operating Conditions of Wireless Power Transfer Systems Using Distributed Estimation Process 基于分布式估计过程的无线输电系统运行状态监测

2021 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2021-06-01 DOI: 10.1109/ICCWorkshops50388.2021.9473792

M. Rana, A. Abdel-Hadi, W. Shireen

{"title":"Monitoring Operating Conditions of Wireless Power Transfer Systems Using Distributed Estimation Process","authors":"M. Rana, A. Abdel-Hadi, W. Shireen","doi":"10.1109/ICCWorkshops50388.2021.9473792","DOIUrl":"https://doi.org/10.1109/ICCWorkshops50388.2021.9473792","url":null,"abstract":"The cyber-physical system such as wireless information and wireless power (WIPT) transfer plays an important role in the internet of things (IoT) applications. The billions of smart objects and devices are connected to the global IoT platform. To get benefit from the IoT technology, smart customers and system operators demand to supply wireless power wireless for making electronic things alive. In this way, the IoT can make greener and smart city with an interconnected digital platforms. However, it is a very difficult and challenging task for supplying wireless power to the smart objects. In order to provide wireless power to the IoT enabled devices, the wireless power transfer system can play a vital role for providing greener and sustainable environment. In light of this demand, this paper provides a comprehensive literature review and potential research challenges for WIPT incorporating wireless power transfer (WPT) system. In order to supply energy to the devices, the electricity generating electronics circuit requires to know the operating conditions of the system state, which acts as a precursor to design the controller. To know the system operating conditions of wireless power transfer system, the distributed state estimation algorithm is proposed and it convergence is analysed. Finally, the proposed algorithm is verified considering the WPT system. For doing this, the state-space framework of the WPT system is developed. Numerical simulations results show that the proposed algorithms can able to estimate and stabilise the WPT system states within a short period of time. Therefore, this framework is valuable to design WIPT and IoT platform and provide a compressive of source for researchers.","PeriodicalId":127186,"journal":{"name":"2021 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127392233","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: 2

Multiple Cascaded Preconfigured Cycles for the FRER Mechanism in Time-Sensitive Networking 时间敏感网络中frr机制的多级联预配置周期

2021 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2021-06-01 DOI: 10.1109/ICCWorkshops50388.2021.9473726

Zongchen Yao, Yueping Cai, Tianchi Li

{"title":"Multiple Cascaded Preconfigured Cycles for the FRER Mechanism in Time-Sensitive Networking","authors":"Zongchen Yao, Yueping Cai, Tianchi Li","doi":"10.1109/ICCWorkshops50388.2021.9473726","DOIUrl":"https://doi.org/10.1109/ICCWorkshops50388.2021.9473726","url":null,"abstract":"TSN (Time-Sensitive Networking) defines a set of standards that add deterministic low-latency services to Ethernet. High reliability is also one essential feature of TSN. IEEE 802.1CB introduces the FRER (Frame Replication and Elimination for Reliability) mechanism for TSN. It transmits duplicated frames through two disjoint paths and eliminates one copy at the destination node to improve the service reliability. However, it is not always an easy task to find two disjoint paths between the source and destination nodes considering different network topologies and network states. In addition, the FRER mechanism only considers paths with the shortest number of hops without considering the properties of links such as reliability, load, and centrality. This paper proposes a method called Multiple Cascaded Preconfigured Cycles (FRER-MPC) to find two optimized paths for the FRER mechanism in TSN. The FRER-MPC mechanism selects a working path based on the link priority model, and it computes a redundant path through multiple preconfigured cycles. Simulation results show that it effectively improves the path reliability with some extra bandwidth consumptions.","PeriodicalId":127186,"journal":{"name":"2021 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129062042","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

An EMD- and GRU-based hybrid network traffic prediction model with data reconstruction 基于EMD和gru的数据重构混合网络流量预测模型

2021 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2021-06-01 DOI: 10.1109/ICCWorkshops50388.2021.9473822

Shuang Du, Zhanqi Xu, Jianxin Lv

{"title":"An EMD- and GRU-based hybrid network traffic prediction model with data reconstruction","authors":"Shuang Du, Zhanqi Xu, Jianxin Lv","doi":"10.1109/ICCWorkshops50388.2021.9473822","DOIUrl":"https://doi.org/10.1109/ICCWorkshops50388.2021.9473822","url":null,"abstract":"Network traffic can reflect the operating status and resource bottleneck of the entire network. Accurate prediction of the future network is helpful in network maintenance, network optimization, routing policy design, load balancing, protocol design, and anomaly detection. However, the self-similarity, periodicity, chaos, multi-scale, and other characteristics of modern network traffic make it challenging to predict network behaviors. The available prediction models focus only on self-similarity and burstiness, lacking a more accurate and comprehensive description of the characteristics of network traffic. In this paper, we propose a prediction model based on Empirical Mode Decomposition (EMD) and the Gated Recurrent Unit (GRU) neural network with data reconstruction. First, the traffic data are reconstructed by complementing missing-points and eliminating outliers. Then, we decompose the reconstructed traffic data into several components through EMD and use each component to train the corresponding GRU neural network. Finally, the predicted values of all components are combined to get the final result. Numerical results show that the proposed prediction model offers higher accuracy and more stable performance than the state-of-the-art models.","PeriodicalId":127186,"journal":{"name":"2021 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130877794","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: 3

A Terminal Classification Scheme with Imbalanced Dataset Based on Low-Complexity Time-LSTM 基于低复杂度Time-LSTM的不平衡数据集终端分类方案

2021 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2021-06-01 DOI: 10.1109/ICCWorkshops50388.2021.9473589

Rui Yang, X. Liu, Wenbo Xu, Jie-fang Wu, Yang Zhang

{"title":"A Terminal Classification Scheme with Imbalanced Dataset Based on Low-Complexity Time-LSTM","authors":"Rui Yang, X. Liu, Wenbo Xu, Jie-fang Wu, Yang Zhang","doi":"10.1109/ICCWorkshops50388.2021.9473589","DOIUrl":"https://doi.org/10.1109/ICCWorkshops50388.2021.9473589","url":null,"abstract":"With the rapid development of wireless communication, various kinds of mobile terminals may communicate with each other. To provide sufficient security and privacy, classification of the source terminals is generally critical. In this paper, we set up several scattered sensors collecting the received field strength and capture time for classification. To deal with the unknown propagation environment, imbalanced dataset and irregular sampling time, we propose a terminal classification scheme based on Long Short-Term Memory (LSTM) network. First, the problem of imbalanced dataset is solved by designing a preprocessing method called random interval sampling method, where the samples for class with less terminals are resampled. Then, the information of the irregular sampling time is incorporated into the classification to obtain extra benefit. Experimental results based on real-world data demonstrate that when compared with the exsiting LSTM schemes, the proposed classification model effectively utilizes the irregular time intervals and achieves excellent classification perfomance with imbalanced dataset.","PeriodicalId":127186,"journal":{"name":"2021 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127939583","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

Signal Processing of Multi-Mode-Multi-Spatial (MOMS) in Line-of-Sight Channels 视距信道中多模多空间(mom)信号处理

2021 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2021-06-01 DOI: 10.1109/ICCWorkshops50388.2021.9473711

Yi Lv, Rui Ni, Qian Zhu, M. Debbah

{"title":"Signal Processing of Multi-Mode-Multi-Spatial (MOMS) in Line-of-Sight Channels","authors":"Yi Lv, Rui Ni, Qian Zhu, M. Debbah","doi":"10.1109/ICCWorkshops50388.2021.9473711","DOIUrl":"https://doi.org/10.1109/ICCWorkshops50388.2021.9473711","url":null,"abstract":"Orbital angular momentum (OAM) is a special branch of the traditional multi-input multi-output (MIMO) system, when the antennas sensitive to the linear momentum of the electromagnetic (EM) field are used to detect radio waves carrying OAM. In essence, the special pattern of the OAM wavefront phase distribution information is a special group of orthogonal bases of the EM field in the spatial dimension. The multi-mode multi-spatial (MOMS) scheme discussed in this paper is a generalized closed-loop multi-antenna communication system solution. To adapt more mobile application scenarios, and taking the divergence characteristic of OAM transmission into consideration, we no longer maintain the orthogonality between multiple OAM modes, and use successive interference cancellation (SIC) to obtain the spatial multiplexing gain of OAM. Compared with the traditional MIMO detection schemes, the MOMS scheme is more robust in the sparse multipath channel scenarios, and can obtain most spatial degrees of freedom (DoF) in terms of antenna aperture and channel geometry. Simulation results show that the performance of OAM-MIMO system using MOMS-SIC provides about 0.5 ~ 1.5dB for the system with different supported modes.","PeriodicalId":127186,"journal":{"name":"2021 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128805348","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

Using Control Theory and Bayesian Reinforcement Learning for Policy Management in Pandemic Situations 应用控制理论和贝叶斯强化学习在大流行情况下的政策管理

2021 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2021-06-01 DOI: 10.1109/ICCWorkshops50388.2021.9473604

Heena Rathore, A. Samant

{"title":"Using Control Theory and Bayesian Reinforcement Learning for Policy Management in Pandemic Situations","authors":"Heena Rathore, A. Samant","doi":"10.1109/ICCWorkshops50388.2021.9473604","DOIUrl":"https://doi.org/10.1109/ICCWorkshops50388.2021.9473604","url":null,"abstract":"As engineers and scientists, it is our responsibility to learn lessons from the recent pandemic outbreak and see how public health policies can be effectively managed to reduce the severe loss of lives and minimize the impact on people’s livelihood. Non-pharmaceutical interventions, such as in-place sheltering and social distancing, are typically introduced to slow the spread (flatten the curve) and reverse the growth of the virus. However, such approaches have the unintended consequences of causing economic activities to plummet and bringing local businesses to a standstill, thereby putting millions of jobs at risk. City administrators have generally resorted to an open loop, belief-based decision-making process, thereby struggling to manage (identify and enforce) timely and optimal policies. To overcome this challenge, this position paper explores a systematically designed, feedback-based strategy, to modulate parameters that control suppression and mitigation. Our work leverages advances in Bayesian Reinforcement Learning algorithms and known techniques in control theory, to stabilize and diminish the rate of propagation in pandemic situations. This paper discusses how offline exploitation using pre-trigger data, online exploration using observations from the environment, and a careful orchestration between the two using granular control of multiple on-off control signals can be used to modulate policy enforcement based on established metrics, such as reproduction number.","PeriodicalId":127186,"journal":{"name":"2021 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125384068","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

An Optimal Sensor Deployment Technique for Spectrum Monitoring Applications 一种用于频谱监测的最佳传感器部署技术

2021 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2021-06-01 DOI: 10.1109/ICCWorkshops50388.2021.9473884

Yifeng Zhou

引用次数: 1