Pub Date : 2021-06-01DOI: 10.1109/ICCWorkshops50388.2021.9473747
Benjamin Rödiger, C. Fuchs, Jorge Rosano Nonay, W. Jung, C. Schmidt
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.
{"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":"16 1","pages":"0"},"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}
Pub Date : 2021-06-01DOI: 10.1109/ICCWorkshops50388.2021.9473889
M. Vuković, D. Mazzei, S. Chessa, G. Fantoni
Industry 4.0 revolution is in full swing and the adoption process is happening in many industries. However, companies have reservations about the transition process, especially ones with older but still functional machines. The key measure for machine Industry 4.0 readiness is their ability to communicate with other machines. This paper presents the design guidelines in the creation of digital twins in Industrial Internet of Things (I-IOT). The relevant scientific works and the most popular I-IOT digital protocols in the industry are collected and presented. Considering this information and data, the list of design guidelines are extracted and presented in the corresponding section.
{"title":"Digital Twins in Industrial IoT: a survey of the state of the art and of relevant standards","authors":"M. Vuković, D. Mazzei, S. Chessa, G. Fantoni","doi":"10.1109/ICCWorkshops50388.2021.9473889","DOIUrl":"https://doi.org/10.1109/ICCWorkshops50388.2021.9473889","url":null,"abstract":"Industry 4.0 revolution is in full swing and the adoption process is happening in many industries. However, companies have reservations about the transition process, especially ones with older but still functional machines. The key measure for machine Industry 4.0 readiness is their ability to communicate with other machines. This paper presents the design guidelines in the creation of digital twins in Industrial Internet of Things (I-IOT). The relevant scientific works and the most popular I-IOT digital protocols in the industry are collected and presented. Considering this information and data, the list of design guidelines are extracted and presented in the corresponding section.","PeriodicalId":127186,"journal":{"name":"2021 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128725178","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}
Pub Date : 2021-06-01DOI: 10.1109/ICCWorkshops50388.2021.9473526
Lin Yu, Gang Xu, N. Zhang, Fengqi Wei
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.
{"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":"8 1","pages":"0"},"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}
Pub Date : 2021-06-01DOI: 10.1109/ICCWorkshops50388.2021.9473792
M. Rana, A. Abdel-Hadi, W. Shireen
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.
{"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":"75 1","pages":"0"},"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}
Pub Date : 2021-06-01DOI: 10.1109/ICCWorkshops50388.2021.9473726
Zongchen Yao, Yueping Cai, Tianchi Li
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.
TSN(时间敏感网络)定义了一组向以太网添加确定性低延迟服务的标准。高可靠性也是TSN的一个基本特征。IEEE 802.1CB为TSN引入了frr (Frame Replication and Elimination for Reliability)机制。它通过两条不相交的路径传输重复帧，并在目的节点消除一份拷贝，以提高业务可靠性。然而，考虑到不同的网络拓扑结构和网络状态，在源节点和目的节点之间找到两条不相交的路径并不总是一件容易的事情。此外，FRER机制只考虑跳数最短的路径，而不考虑链路的可靠性、负载和中心性等属性。本文提出了一种称为多级联预配置周期(FRER- mpc)的方法来寻找TSN中frr机制的两条优化路径。FRER-MPC机制根据链路优先级模型选择工作路径，并通过多个预配置的循环计算出冗余路径。仿真结果表明，该方法在增加带宽消耗的同时，有效地提高了路径可靠性。
{"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":"61 1","pages":"0"},"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}
Pub Date : 2021-06-01DOI: 10.1109/ICCWorkshops50388.2021.9473822
Shuang Du, Zhanqi Xu, Jianxin Lv
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.
{"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":"1 1","pages":"0"},"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}
Pub Date : 2021-06-01DOI: 10.1109/ICCWorkshops50388.2021.9473589
Rui Yang, X. Liu, Wenbo Xu, Jie-fang Wu, Yang Zhang
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.
{"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":"47 1","pages":"0"},"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}
Pub Date : 2021-06-01DOI: 10.1109/ICCWorkshops50388.2021.9473711
Yi Lv, Rui Ni, Qian Zhu, M. Debbah
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.
{"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":"1 1","pages":"0"},"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}
Pub Date : 2021-06-01DOI: 10.1109/ICCWorkshops50388.2021.9473604
Heena Rathore, A. Samant
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.
{"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":"5 1","pages":"0"},"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}
Pub Date : 2021-06-01DOI: 10.1109/ICCWorkshops50388.2021.9473884
Yifeng Zhou
Spectrum monitoring is a key element of spectrum management process, in which spectrum sensors are considered the most crucial component. In this paper, we discuss the problem of optimal sensor deployment for spectrum monitoring applications. Optimal sensor deployment can significantly reduce the cost of sensor deployment and improve spectrum monitoring performance and efficiency. An optimal sensor deployment technique is developed, which provides the minimized number of sensors required, as well as their locations of deployment, for monitoring transmissions by desired stations in an area of interest. The problem of optimal sensor deployment is formulated using binary linear integer programming that is solved using efficient numerical optimization algorithms. The technique is scalable in the sense that it considers the effects of pre-installed or existing spectrum sensors in the area. Finally, we apply the technique to an Ottawa area for deploying sensor to monitor all down-link transmissions in the 800 MHz Land Mobile Radio (LMR) band to demonstrate its effectiveness and performance.
{"title":"An Optimal Sensor Deployment Technique for Spectrum Monitoring Applications","authors":"Yifeng Zhou","doi":"10.1109/ICCWorkshops50388.2021.9473884","DOIUrl":"https://doi.org/10.1109/ICCWorkshops50388.2021.9473884","url":null,"abstract":"Spectrum monitoring is a key element of spectrum management process, in which spectrum sensors are considered the most crucial component. In this paper, we discuss the problem of optimal sensor deployment for spectrum monitoring applications. Optimal sensor deployment can significantly reduce the cost of sensor deployment and improve spectrum monitoring performance and efficiency. An optimal sensor deployment technique is developed, which provides the minimized number of sensors required, as well as their locations of deployment, for monitoring transmissions by desired stations in an area of interest. The problem of optimal sensor deployment is formulated using binary linear integer programming that is solved using efficient numerical optimization algorithms. The technique is scalable in the sense that it considers the effects of pre-installed or existing spectrum sensors in the area. Finally, we apply the technique to an Ottawa area for deploying sensor to monitor all down-link transmissions in the 800 MHz Land Mobile Radio (LMR) band to demonstrate its effectiveness and performance.","PeriodicalId":127186,"journal":{"name":"2021 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126698541","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}
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