Pub Date : 2022-07-18DOI: 10.1109/MN55117.2022.9887655
Michael Rethfeldt, T. Brockmann, Richard Eckhardt, Benjamin Beichler, Lukas Steffen, C. Haubelt, D. Timmermann
Mesh networks based on the wireless local area network (WLAN) technology, as specified by the standards amendment IEEE 802.11s, provide for a flexible and low-cost interconnection of devices and embedded systems for various use cases. To assess the real-world performance of WLAN mesh networks and potential optimization strategies, suitable testbeds and measurement tools are required. Designed for highly automated transport-layer throughput and latency measurements, the software FLExible Network Tester (Flent) is a promising candidate. However, so far Flent does not integrate information specific to IEEE 802.11s networks, such as peer link status data or mesh routing metrics. Consequently, we propose Flent extensions that allow to additionally capture IEEE 802.11s information as part of the automated performance tests. For the functional validation of our extensions, we conduct Flent measurements in a mesh mobility scenario using the network emulation framework Mininet-WiFi.
{"title":"Extending the FLExible Network Tester (Flent) for IEEE 802.11s WLAN Mesh Networks","authors":"Michael Rethfeldt, T. Brockmann, Richard Eckhardt, Benjamin Beichler, Lukas Steffen, C. Haubelt, D. Timmermann","doi":"10.1109/MN55117.2022.9887655","DOIUrl":"https://doi.org/10.1109/MN55117.2022.9887655","url":null,"abstract":"Mesh networks based on the wireless local area network (WLAN) technology, as specified by the standards amendment IEEE 802.11s, provide for a flexible and low-cost interconnection of devices and embedded systems for various use cases. To assess the real-world performance of WLAN mesh networks and potential optimization strategies, suitable testbeds and measurement tools are required. Designed for highly automated transport-layer throughput and latency measurements, the software FLExible Network Tester (Flent) is a promising candidate. However, so far Flent does not integrate information specific to IEEE 802.11s networks, such as peer link status data or mesh routing metrics. Consequently, we propose Flent extensions that allow to additionally capture IEEE 802.11s information as part of the automated performance tests. For the functional validation of our extensions, we conduct Flent measurements in a mesh mobility scenario using the network emulation framework Mininet-WiFi.","PeriodicalId":148281,"journal":{"name":"2022 IEEE International Symposium on Measurements & Networking (M&N)","volume":"64 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":"125508007","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/MN55117.2022.9887712
Gabriele Di Renzone, G. Giorgi, A. Pozzebon
In this paper, we propose a hybrid LoRaWAN/GPS solution for the tracking of athletes performing outdoor sport activities. The combination of the two technologies has the main purpose of optimizing power consumption by limiting GPS usage and providing a continuous people tracking even in case of GPS-denied areas, for example when walking through woods and forests. In this case, GPS is replaced by LoRaWAN connectivity which, besides acting merely as a data transmission technology, thus sending the user's position to a remote server, is also used to estimate such position. To this aim, different localization techniques are evaluated, testing a simple technique based on preliminary area mapping and presenting a data fusion technique to improve the positioning accuracy. To demonstrate the feasibility of the proposed approach, a prototypical tracker was set up, integrating a GPS module with a LoRa transceiver. Then, field tests were performed correlating the positions along a pre-defined path, acquired by means of a GPS module, with the Received Signal Strength Indication (RSSI) values related to the LoRaWAN transmission. Acquired values suggest the usability of these parameters to estimate the user's position in case of lack of GPS coverage.
{"title":"Outdoor sports tracking by means of hybrid GPS-LoRaWAN localization","authors":"Gabriele Di Renzone, G. Giorgi, A. Pozzebon","doi":"10.1109/MN55117.2022.9887712","DOIUrl":"https://doi.org/10.1109/MN55117.2022.9887712","url":null,"abstract":"In this paper, we propose a hybrid LoRaWAN/GPS solution for the tracking of athletes performing outdoor sport activities. The combination of the two technologies has the main purpose of optimizing power consumption by limiting GPS usage and providing a continuous people tracking even in case of GPS-denied areas, for example when walking through woods and forests. In this case, GPS is replaced by LoRaWAN connectivity which, besides acting merely as a data transmission technology, thus sending the user's position to a remote server, is also used to estimate such position. To this aim, different localization techniques are evaluated, testing a simple technique based on preliminary area mapping and presenting a data fusion technique to improve the positioning accuracy. To demonstrate the feasibility of the proposed approach, a prototypical tracker was set up, integrating a GPS module with a LoRa transceiver. Then, field tests were performed correlating the positions along a pre-defined path, acquired by means of a GPS module, with the Received Signal Strength Indication (RSSI) values related to the LoRaWAN transmission. Acquired values suggest the usability of these parameters to estimate the user's position in case of lack of GPS coverage.","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":"114536716","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/MN55117.2022.9887745
Marco Ghidelli, S. Massardi, Luca Foletti, Alberto Cantón González, M. Lancini
Experimental tests in biomechanics are often composed of several systems and devices, each of them providing information that needs to be acquired and processed. Data synchronization is a key factor for test results that need to be properly analyzed, limiting the influence of time delays between the acquired signals. Standard synchronization protocols are applied in different fields, from industry to telecommunications, but the hardware and software requirements for their implementation are normally difficult to be applied in biomechanics laboratories where instrumentation and protocols are likely to be changed over different experiments. Variability of sensors in the market, experimenter's skills, and test schedules hamper the application of robust standardized synchronization protocols, leading to increase post-processing efforts and the protocol steps for data acquisition. We propose a simple and cheap solution for synchronization that can be applied in experimental scenarios such as biomechanics laboratory based on a raspberry used as a trigger-box. This solution aims to easily synchronize data in a ROS-based network with any devices handling analogic trigger signals. The proposed solution is validated by evaluating time metrics in a system composed of several trigger boxes for a multi-sensor system simulation. The performed validation confirms the applicability of this solution for biomechanic tests with a wide margin of tolerance.
{"title":"Validation of a ROS-Based Synchronization System for Biomechanics Gait Labs","authors":"Marco Ghidelli, S. Massardi, Luca Foletti, Alberto Cantón González, M. Lancini","doi":"10.1109/MN55117.2022.9887745","DOIUrl":"https://doi.org/10.1109/MN55117.2022.9887745","url":null,"abstract":"Experimental tests in biomechanics are often composed of several systems and devices, each of them providing information that needs to be acquired and processed. Data synchronization is a key factor for test results that need to be properly analyzed, limiting the influence of time delays between the acquired signals. Standard synchronization protocols are applied in different fields, from industry to telecommunications, but the hardware and software requirements for their implementation are normally difficult to be applied in biomechanics laboratories where instrumentation and protocols are likely to be changed over different experiments. Variability of sensors in the market, experimenter's skills, and test schedules hamper the application of robust standardized synchronization protocols, leading to increase post-processing efforts and the protocol steps for data acquisition. We propose a simple and cheap solution for synchronization that can be applied in experimental scenarios such as biomechanics laboratory based on a raspberry used as a trigger-box. This solution aims to easily synchronize data in a ROS-based network with any devices handling analogic trigger signals. The proposed solution is validated by evaluating time metrics in a system composed of several trigger boxes for a multi-sensor system simulation. The performed validation confirms the applicability of this solution for biomechanic tests with a wide margin of tolerance.","PeriodicalId":148281,"journal":{"name":"2022 IEEE International Symposium on Measurements & Networking (M&N)","volume":"37 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":"132415532","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/MN55117.2022.9887781
P. Casas, Sarah Wassermann, Nikolas Wehner, Michael Seufert, T. Hossfeld
Web Quality of Experience (QoE) monitoring is a critical task for Internet Service Providers (ISPs), especially due to the key role played by customer experience in churn management. Previously, we have tackled the problem of Web QoE inference from the ISP perspective, relying on passive measurement of encrypted network traffic and machine learning models. In this paper, we exploit the broad heterogeneity of contents embedded in web pages to improve the state of the art performance in Web QoE inference, relying on web-content learning model tailoring. By analyzing the top-500 most popular web pages of the Internet through unsupervised learning, we discover different web page content classes which realize sig-nificantly different Web QoE inference performance. We train supervised learning inference models separately for each of these classes, using the well-known Speed Index (SI) metric as proxy to Web QoE. Empirical evaluations on a large corpus of Web QoE measurements for top popular websites demonstrate that our combined content-tailored approach improves the inference performance of the SI by almost 30 % with respect to previous single-model approaches, reducing the QoE inference error in terms of mean opinion scores by more than 40%.
{"title":"Not all Web Pages are Born the Same Content Tailored Learning for Web QoE Inference","authors":"P. Casas, Sarah Wassermann, Nikolas Wehner, Michael Seufert, T. Hossfeld","doi":"10.1109/MN55117.2022.9887781","DOIUrl":"https://doi.org/10.1109/MN55117.2022.9887781","url":null,"abstract":"Web Quality of Experience (QoE) monitoring is a critical task for Internet Service Providers (ISPs), especially due to the key role played by customer experience in churn management. Previously, we have tackled the problem of Web QoE inference from the ISP perspective, relying on passive measurement of encrypted network traffic and machine learning models. In this paper, we exploit the broad heterogeneity of contents embedded in web pages to improve the state of the art performance in Web QoE inference, relying on web-content learning model tailoring. By analyzing the top-500 most popular web pages of the Internet through unsupervised learning, we discover different web page content classes which realize sig-nificantly different Web QoE inference performance. We train supervised learning inference models separately for each of these classes, using the well-known Speed Index (SI) metric as proxy to Web QoE. Empirical evaluations on a large corpus of Web QoE measurements for top popular websites demonstrate that our combined content-tailored approach improves the inference performance of the SI by almost 30 % with respect to previous single-model approaches, reducing the QoE inference error in terms of mean opinion scores by more than 40%.","PeriodicalId":148281,"journal":{"name":"2022 IEEE International Symposium on Measurements & Networking (M&N)","volume":"20 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":"134437181","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/MN55117.2022.9887777
A. Sârbu, D. Vatamanu, S. Miclaus, G. Mihai, M. Sorecau, E. Sorecau, P. Bechet
With its recent advances, electro-optical (EO) technology stands out as a promising alternative to conventional near field measurement instrumentation due to their miniature size and dielectric structure that does not interfere with the measured field. In this article we have used a type of commercially available EO measurement system to evaluate both in-air and in-liquid electric (E) field strength in the proximity of a custom fabricated antenna operating at 3.5 GHz frequency. Comparative computational and experimental results are presented and analysed with respect to the medium, antenna power, distance from the antenna and based on the guidelines limiting human exposure to EMFs. Present findings suggest that at their current technological development, the investigated EO probe response becomes inadequate for channel bandwidths commonly used in new generation communication standards (20 MHz and higher), especially if low emit powers are used (below 30 mW).
{"title":"Computational and experimental characterization of EMF exposure at 3.5 GHz using electro-optical probes","authors":"A. Sârbu, D. Vatamanu, S. Miclaus, G. Mihai, M. Sorecau, E. Sorecau, P. Bechet","doi":"10.1109/MN55117.2022.9887777","DOIUrl":"https://doi.org/10.1109/MN55117.2022.9887777","url":null,"abstract":"With its recent advances, electro-optical (EO) technology stands out as a promising alternative to conventional near field measurement instrumentation due to their miniature size and dielectric structure that does not interfere with the measured field. In this article we have used a type of commercially available EO measurement system to evaluate both in-air and in-liquid electric (E) field strength in the proximity of a custom fabricated antenna operating at 3.5 GHz frequency. Comparative computational and experimental results are presented and analysed with respect to the medium, antenna power, distance from the antenna and based on the guidelines limiting human exposure to EMFs. Present findings suggest that at their current technological development, the investigated EO probe response becomes inadequate for channel bandwidths commonly used in new generation communication standards (20 MHz and higher), especially if low emit powers are used (below 30 mW).","PeriodicalId":148281,"journal":{"name":"2022 IEEE International Symposium on Measurements & Networking (M&N)","volume":"251 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113995311","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/MN55117.2022.9887648
D. D. Prete, F. Arcadio, Chiara Griffo, Dalila Cicatiello, L. Zeni, N. Cennamo
A novel low-cost rain sensor based on a Surface Plasmonic Resonance (SPR) platform has been designed, realized, and tested. The SPR platform has been used to detect the presence of rain by using a simple setup exploiting an LED, a photodiode, and an Arduino microcontroller. The SPR sensor is placed into a specially designed 3D-printed holder to permit rainwater flow upon the sensitive region. Two studies have been carried out to test the sensor system in terms of sensitivity, which resulted equal to 0.057 mV/μ1, and set a threshold to avoid false alarm events.
{"title":"An Arduino-based plasmonic sensor to detect rain and its analysis","authors":"D. D. Prete, F. Arcadio, Chiara Griffo, Dalila Cicatiello, L. Zeni, N. Cennamo","doi":"10.1109/MN55117.2022.9887648","DOIUrl":"https://doi.org/10.1109/MN55117.2022.9887648","url":null,"abstract":"A novel low-cost rain sensor based on a Surface Plasmonic Resonance (SPR) platform has been designed, realized, and tested. The SPR platform has been used to detect the presence of rain by using a simple setup exploiting an LED, a photodiode, and an Arduino microcontroller. The SPR sensor is placed into a specially designed 3D-printed holder to permit rainwater flow upon the sensitive region. Two studies have been carried out to test the sensor system in terms of sensitivity, which resulted equal to 0.057 mV/μ1, and set a threshold to avoid false alarm events.","PeriodicalId":148281,"journal":{"name":"2022 IEEE International Symposium on Measurements & Networking (M&N)","volume":"238 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":"116175309","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/MN55117.2022.9887691
Won Park, Nicolas Ferland, Wenting Sun
In modern network and telecommunication systems, hundreds of thousands of nodes are interconnected by telecommunication links to exchange information between nodes. The complexity of the system and the stringent requirements on service level agreement makes it necessary to monitor network performance intelligently and enable preventative measures to ensure network performance. Anomaly detection - the task of identifying events that deviate from the normal behavior - continues to be an important task. However, techniques traditionally employed by industry on real-world data - DBSCAN and MAD - have severe limitations, such as the need to manually tune and calibrate the algorithms frequently and limited capacity to capture past history in the model. Lately, there has been much progression in applying machine learning techniques, specifically autoencoders to the problem of AD. However, thus far, few of these techniques have been tested for use in scenarios involving multivariate timeseries data that would be faced by telecommunication companies. We propose a novel auto encoder based deep learning framework called ERICA including a new pipeline to address these shortcomings. Our approach has been demonstrated to achieve better performance (an increase in F-score by over 10%) and significantly enhance the scalability.
{"title":"Autoencoder for Network Anomaly Detection","authors":"Won Park, Nicolas Ferland, Wenting Sun","doi":"10.1109/MN55117.2022.9887691","DOIUrl":"https://doi.org/10.1109/MN55117.2022.9887691","url":null,"abstract":"In modern network and telecommunication systems, hundreds of thousands of nodes are interconnected by telecommunication links to exchange information between nodes. The complexity of the system and the stringent requirements on service level agreement makes it necessary to monitor network performance intelligently and enable preventative measures to ensure network performance. Anomaly detection - the task of identifying events that deviate from the normal behavior - continues to be an important task. However, techniques traditionally employed by industry on real-world data - DBSCAN and MAD - have severe limitations, such as the need to manually tune and calibrate the algorithms frequently and limited capacity to capture past history in the model. Lately, there has been much progression in applying machine learning techniques, specifically autoencoders to the problem of AD. However, thus far, few of these techniques have been tested for use in scenarios involving multivariate timeseries data that would be faced by telecommunication companies. We propose a novel auto encoder based deep learning framework called ERICA including a new pipeline to address these shortcomings. Our approach has been demonstrated to achieve better performance (an increase in F-score by over 10%) and significantly enhance the scalability.","PeriodicalId":148281,"journal":{"name":"2022 IEEE International Symposium on Measurements & Networking (M&N)","volume":"112 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":"116075424","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/MN55117.2022.9887728
Christopher Vaccaro, Jorge Valverde, Alberto Cruz, M. Torres, Jose Cordova-Garcia
In this paper we focus on analyzing the precision error of electrical parameters as well as the quality of the data transmission of measurements generated by low cost electric meter devices. The study is based on data collected in a large university campus which includes many non-linear electrical loads. Related harmonic distortions are identified as one possible source of measurement error. Also, we evaluate a quality of service proxy for the deployed data network and discuss design changes to robustify data transmission. After evaluating campus measurements using a standardized power quality analyzer we find that many meters presented high measurement errors and while some may be attributed to harmonics and large non-linear loads, other errors can be related to the transducers and the internal code used by the device. The need for open hardware is motivated throughout the study when discussing limitations of the system evaluated.
{"title":"Evaluating Low-cost Networked Energy Metering Systems: A University Campus Study","authors":"Christopher Vaccaro, Jorge Valverde, Alberto Cruz, M. Torres, Jose Cordova-Garcia","doi":"10.1109/MN55117.2022.9887728","DOIUrl":"https://doi.org/10.1109/MN55117.2022.9887728","url":null,"abstract":"In this paper we focus on analyzing the precision error of electrical parameters as well as the quality of the data transmission of measurements generated by low cost electric meter devices. The study is based on data collected in a large university campus which includes many non-linear electrical loads. Related harmonic distortions are identified as one possible source of measurement error. Also, we evaluate a quality of service proxy for the deployed data network and discuss design changes to robustify data transmission. After evaluating campus measurements using a standardized power quality analyzer we find that many meters presented high measurement errors and while some may be attributed to harmonics and large non-linear loads, other errors can be related to the transducers and the internal code used by the device. The need for open hardware is motivated throughout the study when discussing limitations of the system evaluated.","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":"134512466","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/MN55117.2022.9887734
J. Ziazet, B. Jaumard, H. Duong, Pooya Khoshabi, Emil Janulewicz
The machine learning rise has created a need for 5G traffic data, which remains scarce despite numerous studies relying on machine learning models and algorithms. In this article, we introduce a traffic generator for 5G traffic provisioning under different traffic usage scenarios including traffic forecast. The generator relies on open data from the vehicular and pedestrian traffic of the City of Montreal, which is refactored in order to generate different classes of network traffic, with different characteristics associated with typical 5G applications, and then with different traffic patterns and peak hours. The outcome is a valuable tool for researchers and practitioners interested in the performance evaluation of 5G network traffic predictions and elastic resource orchestration. We give an illustration of the traffic dynamics coming out of our generator, thanks to the refactoring of the open data of the City of Montreal. It shows that the traffic generated is a good fit for studies aiming at traffic prediction or proactive network provisioning under different elastic resource orchestration policies.
{"title":"A Dynamic Traffic Generator for Elastic 5G Network Slicing","authors":"J. Ziazet, B. Jaumard, H. Duong, Pooya Khoshabi, Emil Janulewicz","doi":"10.1109/MN55117.2022.9887734","DOIUrl":"https://doi.org/10.1109/MN55117.2022.9887734","url":null,"abstract":"The machine learning rise has created a need for 5G traffic data, which remains scarce despite numerous studies relying on machine learning models and algorithms. In this article, we introduce a traffic generator for 5G traffic provisioning under different traffic usage scenarios including traffic forecast. The generator relies on open data from the vehicular and pedestrian traffic of the City of Montreal, which is refactored in order to generate different classes of network traffic, with different characteristics associated with typical 5G applications, and then with different traffic patterns and peak hours. The outcome is a valuable tool for researchers and practitioners interested in the performance evaluation of 5G network traffic predictions and elastic resource orchestration. We give an illustration of the traffic dynamics coming out of our generator, thanks to the refactoring of the open data of the City of Montreal. It shows that the traffic generated is a good fit for studies aiming at traffic prediction or proactive network provisioning under different elastic resource orchestration policies.","PeriodicalId":148281,"journal":{"name":"2022 IEEE International Symposium on Measurements & Networking (M&N)","volume":"306 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":"114823134","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/MN55117.2022.9887647
Pasquale Beneduce, A. Capozzoli, C. Curcio, A. Liseno, Giovanni Petraglia, Gaetano Prisco, Marcello Ranucci, Chiara Sonatore
This paper discusses design and testing of fully-digital direct-conversion array transmitter in C Band developed as a part of a digital transmitting and receiving module (DTRM) suitable for a future full digital active electrically scanned array (AESA). The DTRM uses RF high-speed converters exploiting 5G technologies mainly developed for massive MIMO applications. A C-Band 4-channel AESA prototype was designed, realized, and characterized in far field.
{"title":"Design and characterization of AESA prototype driven by a DTRM","authors":"Pasquale Beneduce, A. Capozzoli, C. Curcio, A. Liseno, Giovanni Petraglia, Gaetano Prisco, Marcello Ranucci, Chiara Sonatore","doi":"10.1109/MN55117.2022.9887647","DOIUrl":"https://doi.org/10.1109/MN55117.2022.9887647","url":null,"abstract":"This paper discusses design and testing of fully-digital direct-conversion array transmitter in C Band developed as a part of a digital transmitting and receiving module (DTRM) suitable for a future full digital active electrically scanned array (AESA). The DTRM uses RF high-speed converters exploiting 5G technologies mainly developed for massive MIMO applications. A C-Band 4-channel AESA prototype was designed, realized, and characterized in far field.","PeriodicalId":148281,"journal":{"name":"2022 IEEE International Symposium on Measurements & Networking (M&N)","volume":"25 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":"114153207","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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