Pub Date : 2022-07-18DOI: 10.1109/MN55117.2022.9887752
F. Saccardi, R. Tena-Sanchez, E. Tartaglino, A. Giacomini, L. Foged, P. Moseley, L. Rolo
At the lower VHF frequencies, the measurement of low gain antennas in a controlled anechoic environment including the space platform can be challenging. Often, the reflectivity of the anechoic environment is insufficient for a traditional single probe approach using near or far field techniques. This was the case in the testing of the 50-70MHz dipole antenna and cubesat satellite that is part of the ESA HERA-JUVENTAS mission. In this paper we discuss the measurement solution for the testing of this satellite in the ESA-HERTZ testing facility. The solution is based on an array of virtual probes generated by moving a physical single probe within the measurement setup. By a suitable optimization of the complex weight of the virtual array elements a plane wave and thus far field condition can be approximated in the satellite test volume while chamber wall reflections are minimized.
{"title":"Measurement of VHF Satellite Antennas using the Synthetic Probe Array Technique","authors":"F. Saccardi, R. Tena-Sanchez, E. Tartaglino, A. Giacomini, L. Foged, P. Moseley, L. Rolo","doi":"10.1109/MN55117.2022.9887752","DOIUrl":"https://doi.org/10.1109/MN55117.2022.9887752","url":null,"abstract":"At the lower VHF frequencies, the measurement of low gain antennas in a controlled anechoic environment including the space platform can be challenging. Often, the reflectivity of the anechoic environment is insufficient for a traditional single probe approach using near or far field techniques. This was the case in the testing of the 50-70MHz dipole antenna and cubesat satellite that is part of the ESA HERA-JUVENTAS mission. In this paper we discuss the measurement solution for the testing of this satellite in the ESA-HERTZ testing facility. The solution is based on an array of virtual probes generated by moving a physical single probe within the measurement setup. By a suitable optimization of the complex weight of the virtual array elements a plane wave and thus far field condition can be approximated in the satellite test volume while chamber wall reflections are minimized.","PeriodicalId":148281,"journal":{"name":"2022 IEEE International Symposium on Measurements & Networking (M&N)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116879052","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 : 2022-07-18DOI: 10.1109/MN55117.2022.9887704
R. Azaro, Roberto Franchelli, Alessandro Gandolfo
Multi-Band Area Monitors are currently employed by national authorities and agencies to implement monitoring networks able to evaluate the exposure generated by RF-EMF sources in a given geographical area. In most of the cases the focus is the evaluation of the exposure generated by sources operating in High Frequency Bands (f > 30 MHz), but in some particular case the sources operate in Low Frequency Bands (10 kHz–30 MHz), e.g. high power transmitters for long distance communications. Depending from the different applicative scenarios present in the different nodes of the network, an Area Monitor can be equipped or not with a cabling for the connection to an external power source. Since it is well known that low frequency electric fields are very sensitive to environmental boundary conditions, represented e.g. by interconnecting conductive cablings, some experimental activities have been performed to evaluate this kind of adverse phenomena and the effectiveness of possible countermeasures. The results of this experimental activity are described in the paper.
{"title":"Networks of EMF Area Monitor for Distributed Human Exposure Monitoring: Assessment of Performances in Simulated Realistic Scenarios","authors":"R. Azaro, Roberto Franchelli, Alessandro Gandolfo","doi":"10.1109/MN55117.2022.9887704","DOIUrl":"https://doi.org/10.1109/MN55117.2022.9887704","url":null,"abstract":"Multi-Band Area Monitors are currently employed by national authorities and agencies to implement monitoring networks able to evaluate the exposure generated by RF-EMF sources in a given geographical area. In most of the cases the focus is the evaluation of the exposure generated by sources operating in High Frequency Bands (f > 30 MHz), but in some particular case the sources operate in Low Frequency Bands (10 kHz–30 MHz), e.g. high power transmitters for long distance communications. Depending from the different applicative scenarios present in the different nodes of the network, an Area Monitor can be equipped or not with a cabling for the connection to an external power source. Since it is well known that low frequency electric fields are very sensitive to environmental boundary conditions, represented e.g. by interconnecting conductive cablings, some experimental activities have been performed to evaluate this kind of adverse phenomena and the effectiveness of possible countermeasures. The results of this experimental activity are described in the paper.","PeriodicalId":148281,"journal":{"name":"2022 IEEE International Symposium on Measurements & Networking (M&N)","volume":"45 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121002781","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 : 2022-07-18DOI: 10.1109/MN55117.2022.9887686
S. Adda, T. Aureli, Tiziana Cassano, D. Franci, M. Migliore, N. Pasquino, S. Pavoncello, F. Schettino, Maddalena Schirone
The aim of this contribution is to investigate the impact of use of Dynamic Spectrum Sharing (DSS) on Maximum-Power Extrapolation (MPE) techniques adopted for 4G and 5G signals. The structure of the frame is analyzed to obtain general observations on the effect of DSS frame structure on MPE techniques. The observations have been checked on a signal generated by a base station and transferred to the measurement instruments through an Air Interface ADapter (AIAD) as well as ‘on air’ signals. The results show that both the 4G MPE procedure and the 5G MPE procedures can be used for MPE of DSS signals.
{"title":"Some Notes on the Impact of the use of Dynamic Spectrum Sharing (DSS) on Maximum-Power Extrapolation techniques for Human Exposure Assessment to Electromagnetic Fields","authors":"S. Adda, T. Aureli, Tiziana Cassano, D. Franci, M. Migliore, N. Pasquino, S. Pavoncello, F. Schettino, Maddalena Schirone","doi":"10.1109/MN55117.2022.9887686","DOIUrl":"https://doi.org/10.1109/MN55117.2022.9887686","url":null,"abstract":"The aim of this contribution is to investigate the impact of use of Dynamic Spectrum Sharing (DSS) on Maximum-Power Extrapolation (MPE) techniques adopted for 4G and 5G signals. The structure of the frame is analyzed to obtain general observations on the effect of DSS frame structure on MPE techniques. The observations have been checked on a signal generated by a base station and transferred to the measurement instruments through an Air Interface ADapter (AIAD) as well as ‘on air’ signals. The results show that both the 4G MPE procedure and the 5G MPE procedures can be used for MPE of DSS signals.","PeriodicalId":148281,"journal":{"name":"2022 IEEE International Symposium on Measurements & Networking (M&N)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125661535","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 : 2022-07-18DOI: 10.1109/MN55117.2022.9887784
C. Liguori, V. Paciello, A. Ruggiero, D. Russo, P. Sommella, G. D. Leo
Generally the estimation of traffic noise levels is carried out by using acoustic monitoring systems. In this paper, starting from the results of a study on the environmental noise pollution of a city of the South of Italy, a statistic procedure focused on the bootstrap method is presented to evaluate the sound pressure levels of one month acquisition. The experimental verification against real data shows the consistency of the algorithm for forecasting the long-term noise indicator.
{"title":"Acoustic Monitoring of Environmental Noise Based on Sampling Approach","authors":"C. Liguori, V. Paciello, A. Ruggiero, D. Russo, P. Sommella, G. D. Leo","doi":"10.1109/MN55117.2022.9887784","DOIUrl":"https://doi.org/10.1109/MN55117.2022.9887784","url":null,"abstract":"Generally the estimation of traffic noise levels is carried out by using acoustic monitoring systems. In this paper, starting from the results of a study on the environmental noise pollution of a city of the South of Italy, a statistic procedure focused on the bootstrap method is presented to evaluate the sound pressure levels of one month acquisition. The experimental verification against real data shows the consistency of the algorithm for forecasting the long-term noise indicator.","PeriodicalId":148281,"journal":{"name":"2022 IEEE International Symposium on Measurements & Networking (M&N)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116592048","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 : 2022-07-18DOI: 10.1109/MN55117.2022.9887533
Alessandro Destro, G. Giorgi
The design of suitable clock servo is a well-known problem in the context of network-based synchronization systems. Several approaches can be found in the current literature, typically based on PI-controllers or Kalman filtering. These methods require a thorough knowledge of the environment, i.e. clock model, stability parameters, temperature variations, network traffic load, traffic profile and so on. This a-priori knowledge is required to optimize the servo parameters, such as PI constants or transition matrices in a Kalman filter. In this paper we propose instead a clock servo based on the recent Reinforcement Learning approach. In this case a self-learning algorithm based on a deep-Q network learns how to synchronize a local clock only from experience and by exploiting a limited set of predefined actions. Encouraging preliminary results reported in this paper represent a first step to explore the potentiality of the reinforcement learning in synchronization systems typically characterized by an initial lack of knowledge or by a great environmental variability.
{"title":"Reinforcement Learning applied to Network Synchronization Systems","authors":"Alessandro Destro, G. Giorgi","doi":"10.1109/MN55117.2022.9887533","DOIUrl":"https://doi.org/10.1109/MN55117.2022.9887533","url":null,"abstract":"The design of suitable clock servo is a well-known problem in the context of network-based synchronization systems. Several approaches can be found in the current literature, typically based on PI-controllers or Kalman filtering. These methods require a thorough knowledge of the environment, i.e. clock model, stability parameters, temperature variations, network traffic load, traffic profile and so on. This a-priori knowledge is required to optimize the servo parameters, such as PI constants or transition matrices in a Kalman filter. In this paper we propose instead a clock servo based on the recent Reinforcement Learning approach. In this case a self-learning algorithm based on a deep-Q network learns how to synchronize a local clock only from experience and by exploiting a limited set of predefined actions. Encouraging preliminary results reported in this paper represent a first step to explore the potentiality of the reinforcement learning in synchronization systems typically characterized by an initial lack of knowledge or by a great environmental variability.","PeriodicalId":148281,"journal":{"name":"2022 IEEE International Symposium on Measurements & Networking (M&N)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114285981","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 : 2022-07-18DOI: 10.1109/MN55117.2022.9887703
Valerio Brunacci, A. D. Angelis, G. Costante
This paper presents the development of a system able to estimate the 2D relative position of nodes in a wireless network, based on distance measurements between the nodes. The system uses ultra wide band ranging technology and the Bluetooth Low Energy protocol to acquire data. Furthermore, a nonlinear least squares problem is formulated and solved numerically for estimating the relative positions of the nodes. The localization performance of the system is validated by experimental tests, demonstrating the capability of measuring the relative position of a network comprised of 4 nodes with an accuracy of the order of 3 cm and an update rate of 10 Hz. This shows the feasibility of applying the proposed system for multi-robot cooperative localization and formation control scenarios.
{"title":"Development of a Cooperative Localization System using a UWB Network and BLE Technology","authors":"Valerio Brunacci, A. D. Angelis, G. Costante","doi":"10.1109/MN55117.2022.9887703","DOIUrl":"https://doi.org/10.1109/MN55117.2022.9887703","url":null,"abstract":"This paper presents the development of a system able to estimate the 2D relative position of nodes in a wireless network, based on distance measurements between the nodes. The system uses ultra wide band ranging technology and the Bluetooth Low Energy protocol to acquire data. Furthermore, a nonlinear least squares problem is formulated and solved numerically for estimating the relative positions of the nodes. The localization performance of the system is validated by experimental tests, demonstrating the capability of measuring the relative position of a network comprised of 4 nodes with an accuracy of the order of 3 cm and an update rate of 10 Hz. This shows the feasibility of applying the proposed system for multi-robot cooperative localization and formation control scenarios.","PeriodicalId":148281,"journal":{"name":"2022 IEEE International Symposium on Measurements & Networking (M&N)","volume":"294 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132651706","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 : 2022-07-18DOI: 10.1109/MN55117.2022.9887740
D. Allal, R. Bannister, K. Buisman, D. Capriglione, G. D. Capua, Martín García-Patrón, Thomas Gatzweiler, Frauke K. H. Gellersen, T. Harzheim, H. Heuermann, J. Hoffmann, A. Izbrodin, K. Kuhlmann, K. Lahbacha, A. Maffucci, G. Miele, F. Mubarak, M. Salter, T. D. Pham, A. Sayegh, D. Singh, Friederike Stein, M. Zeier
In this paper research activities developed within the FutureCom project are presented. The project, funded by the European Metrology Programme for Innovation and Research (EMPIR), aims at evaluating and characterizing: (i) active devices, (ii) signal- and power integrity of field programmable gate array (FPGA) circuits, (iii) operational performance of electronic circuits in real-world and harsh environments (e.g. below and above ambient temperatures and at different levels of humidity), (iv) passive inter-modulation (PIM) in communication systems considering different values of temperature and humidity corresponding to the typical operating conditions that we can experience in real-world scenarios. An overview of the FutureCom project is provided here, then the research activities are described.
{"title":"RF Measurements for Future Communication Applications: an Overview","authors":"D. Allal, R. Bannister, K. Buisman, D. Capriglione, G. D. Capua, Martín García-Patrón, Thomas Gatzweiler, Frauke K. H. Gellersen, T. Harzheim, H. Heuermann, J. Hoffmann, A. Izbrodin, K. Kuhlmann, K. Lahbacha, A. Maffucci, G. Miele, F. Mubarak, M. Salter, T. D. Pham, A. Sayegh, D. Singh, Friederike Stein, M. Zeier","doi":"10.1109/MN55117.2022.9887740","DOIUrl":"https://doi.org/10.1109/MN55117.2022.9887740","url":null,"abstract":"In this paper research activities developed within the FutureCom project are presented. The project, funded by the European Metrology Programme for Innovation and Research (EMPIR), aims at evaluating and characterizing: (i) active devices, (ii) signal- and power integrity of field programmable gate array (FPGA) circuits, (iii) operational performance of electronic circuits in real-world and harsh environments (e.g. below and above ambient temperatures and at different levels of humidity), (iv) passive inter-modulation (PIM) in communication systems considering different values of temperature and humidity corresponding to the typical operating conditions that we can experience in real-world scenarios. An overview of the FutureCom project is provided here, then the research activities are described.","PeriodicalId":148281,"journal":{"name":"2022 IEEE International Symposium on Measurements & Networking (M&N)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133264419","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 : 2022-07-18DOI: 10.1109/MN55117.2022.9887637
F. D’Agostino, F. Ferrara, C. Gennarelli, R. Guerriero, M. Migliozzi
This conference paper is devoted to an experimental assessment of a bi-polar near-field far-field (NFFF) transformation with probe compensation, which is particularly convenient from the data reduction standpoint when characterising a flat antenna under test (AUT). The proposed technique utilizes the non-redundant sampling representations of the electromagnetic fields for developing an efficient probe voltage sampling representation on the scan plane, which requires the knowledge of the NF bi-polar samples at a reduced number of sampling points. Then, these samples are suitably interpolated by a two-dimensional optimal sampling interpolation expansion to accurately reconstruct the plane-rectangular NF data needed by the standard Leach&Paris's NFFF transformation. To properly take into account the AUT geometry, a disc having diameter equal to the AUT largest dimension is adopted as modeling surface. Such a surface allows one a more effective AUT modeling from the NF data reduction stand-point than the other proposed modeling surfaces for quasi-planar AUTs (the oblate spheroid or the two-bowls), because it has the capability to reduce very significantly the related volumetric redundance, fitting very well the AUT geometry. Experimental results are shown to assess the efficacy of this NFFF transformation.
{"title":"An Efficient Bi-Polar Near-Field Far-Field Transformation for Flat AUTs","authors":"F. D’Agostino, F. Ferrara, C. Gennarelli, R. Guerriero, M. Migliozzi","doi":"10.1109/MN55117.2022.9887637","DOIUrl":"https://doi.org/10.1109/MN55117.2022.9887637","url":null,"abstract":"This conference paper is devoted to an experimental assessment of a bi-polar near-field far-field (NFFF) transformation with probe compensation, which is particularly convenient from the data reduction standpoint when characterising a flat antenna under test (AUT). The proposed technique utilizes the non-redundant sampling representations of the electromagnetic fields for developing an efficient probe voltage sampling representation on the scan plane, which requires the knowledge of the NF bi-polar samples at a reduced number of sampling points. Then, these samples are suitably interpolated by a two-dimensional optimal sampling interpolation expansion to accurately reconstruct the plane-rectangular NF data needed by the standard Leach&Paris's NFFF transformation. To properly take into account the AUT geometry, a disc having diameter equal to the AUT largest dimension is adopted as modeling surface. Such a surface allows one a more effective AUT modeling from the NF data reduction stand-point than the other proposed modeling surfaces for quasi-planar AUTs (the oblate spheroid or the two-bowls), because it has the capability to reduce very significantly the related volumetric redundance, fitting very well the AUT geometry. Experimental results are shown to assess the efficacy of this NFFF transformation.","PeriodicalId":148281,"journal":{"name":"2022 IEEE International Symposium on Measurements & Networking (M&N)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130259242","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 : 2022-07-18DOI: 10.1109/MN55117.2022.9887747
A. Fort, Elia Landi, Riccardo Moretti, Lorenzo Parri, G. Peruzzi, A. Pozzebon
This paper presents a new approach for the measurement of the Hand-Arm Vibration (HAV) exposure caused by the use of vibrating tools. In so doing, a wearable system can be designed in order to be embedded on personal protection equipment of workmen, so to preserve their health and to avoid injuries. In particular, a Machine Learning (ML) model is introduced, whose aim is to distinguish between the absence and the presence of harmful vibrations. In this way, vibration dose assessment systems can operate discarding acceleration signals related to body movements shocks or any other non-vibrational signal. The classifier is trained on a dataset composed of accelerometer data acquired in a real world scenario thus ensuring the classifier performances reliability. Moreover, the classifier is designed for its deployment on a microcontroller. The data processing technique presented in this work can be implemented in portable low cost and low power devices for the measurement of the vibration transmitted to the hand of an operator due to the use of drills, jackhammers, or other vibrating tools. Indeed, Internet of Things (IoT) sensor nodes powered with Artificial Intelligence (AI) capability can be designed by following this approach. Therefore, the brand new concept of the Artificial Intelligence of Things (AIoT) is met.
{"title":"Hand-Arm Vibration Monitoring via Embedded Machine Learning on Low Power Wearable Devices","authors":"A. Fort, Elia Landi, Riccardo Moretti, Lorenzo Parri, G. Peruzzi, A. Pozzebon","doi":"10.1109/MN55117.2022.9887747","DOIUrl":"https://doi.org/10.1109/MN55117.2022.9887747","url":null,"abstract":"This paper presents a new approach for the measurement of the Hand-Arm Vibration (HAV) exposure caused by the use of vibrating tools. In so doing, a wearable system can be designed in order to be embedded on personal protection equipment of workmen, so to preserve their health and to avoid injuries. In particular, a Machine Learning (ML) model is introduced, whose aim is to distinguish between the absence and the presence of harmful vibrations. In this way, vibration dose assessment systems can operate discarding acceleration signals related to body movements shocks or any other non-vibrational signal. The classifier is trained on a dataset composed of accelerometer data acquired in a real world scenario thus ensuring the classifier performances reliability. Moreover, the classifier is designed for its deployment on a microcontroller. The data processing technique presented in this work can be implemented in portable low cost and low power devices for the measurement of the vibration transmitted to the hand of an operator due to the use of drills, jackhammers, or other vibrating tools. Indeed, Internet of Things (IoT) sensor nodes powered with Artificial Intelligence (AI) capability can be designed by following this approach. Therefore, the brand new concept of the Artificial Intelligence of Things (AIoT) is met.","PeriodicalId":148281,"journal":{"name":"2022 IEEE International Symposium on Measurements & Networking (M&N)","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115598378","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 : 2022-07-18DOI: 10.1109/MN55117.2022.9887710
Ayşe Rumeysa Mohammed, S. Mohammed, David Côté, S. Shirmohammadi
Network Operation Centers (NOC) are responsible for a communication network's efficient operation, traffic engineering, failure management, and network assurance. Due to the size and complexity of today's networks, the traditionally manual operations in an NOC are becoming more difficult to perform optimally. In response to that, in our previous work we showed that Artificial Intelligence (AI) can be utilized for autonomous action recommendation in an NOC. While in that work the network's state was measured, in this work we study if actions can be recommended without measuring the network's state, saving both time and processing power, reducing complexity, and avoiding mistakes in measuring network state. To that end, we design an AI-based action recommender that recommends actions for an NOC without first measuring the network state. Results show that although such a stateless action recommender does not initially outperform its stateful equivalent, it does significantly outperform a static network, leading to the conclusion that with more optimization and/or by choosing better AI methods, a stateless action recommender could potentially reach the same performance of a stateful action recommender.
{"title":"Stateless ARE: Action Recommendation Engine without Network State Measurement","authors":"Ayşe Rumeysa Mohammed, S. Mohammed, David Côté, S. Shirmohammadi","doi":"10.1109/MN55117.2022.9887710","DOIUrl":"https://doi.org/10.1109/MN55117.2022.9887710","url":null,"abstract":"Network Operation Centers (NOC) are responsible for a communication network's efficient operation, traffic engineering, failure management, and network assurance. Due to the size and complexity of today's networks, the traditionally manual operations in an NOC are becoming more difficult to perform optimally. In response to that, in our previous work we showed that Artificial Intelligence (AI) can be utilized for autonomous action recommendation in an NOC. While in that work the network's state was measured, in this work we study if actions can be recommended without measuring the network's state, saving both time and processing power, reducing complexity, and avoiding mistakes in measuring network state. To that end, we design an AI-based action recommender that recommends actions for an NOC without first measuring the network state. Results show that although such a stateless action recommender does not initially outperform its stateful equivalent, it does significantly outperform a static network, leading to the conclusion that with more optimization and/or by choosing better AI methods, a stateless action recommender could potentially reach the same performance of a stateful action recommender.","PeriodicalId":148281,"journal":{"name":"2022 IEEE International Symposium on Measurements & Networking (M&N)","volume":"361 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115027178","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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