Pub Date : 2023-06-06DOI: 10.1109/EuCNC/6GSummit58263.2023.10188304
Dennis Osterland, Andreas Benzin, F. Gerfers, G. Caire
Advances in semiconductor technology are leading to ever-higher sampling rates for analog-to-digital converters (ADCs). In traditional systems, (cellular) radio signals had to be downconverted in the analog domain from radio frequency (RF) to baseband (BB) using direct conversion receivers (DCRs) in which the ADCs could operate at low sampling rates. Due to advances in ADC technology, modern direct RF (DRF) sam-pling ADCs are able to sample directly in the RF domain, opening up new application possibilities. In order to reduce the required sampling rate, it is particularly interesting to use undersampling techniques in these DRF systems. However, there are some SNR-decreasing problems associated with this approach, such as the noise folding effect, which need to be carefully considered. This paper provides a detailed investigation of practical DRF undersampling systems in theory and practice. It is shown analytically and with experimental verification that noise enhancement due to noise folding is a negligible effect in real-world DRF implementations. Furthermore, the results of this paper motivate reduced complexity and reduced power consumption DRF undersampling ADC architectures with high analog bandwidth but relatively low sampling rate.
{"title":"Undersampling and SNR Degradation in Practical Direct RF Sampling Systems","authors":"Dennis Osterland, Andreas Benzin, F. Gerfers, G. Caire","doi":"10.1109/EuCNC/6GSummit58263.2023.10188304","DOIUrl":"https://doi.org/10.1109/EuCNC/6GSummit58263.2023.10188304","url":null,"abstract":"Advances in semiconductor technology are leading to ever-higher sampling rates for analog-to-digital converters (ADCs). In traditional systems, (cellular) radio signals had to be downconverted in the analog domain from radio frequency (RF) to baseband (BB) using direct conversion receivers (DCRs) in which the ADCs could operate at low sampling rates. Due to advances in ADC technology, modern direct RF (DRF) sam-pling ADCs are able to sample directly in the RF domain, opening up new application possibilities. In order to reduce the required sampling rate, it is particularly interesting to use undersampling techniques in these DRF systems. However, there are some SNR-decreasing problems associated with this approach, such as the noise folding effect, which need to be carefully considered. This paper provides a detailed investigation of practical DRF undersampling systems in theory and practice. It is shown analytically and with experimental verification that noise enhancement due to noise folding is a negligible effect in real-world DRF implementations. Furthermore, the results of this paper motivate reduced complexity and reduced power consumption DRF undersampling ADC architectures with high analog bandwidth but relatively low sampling rate.","PeriodicalId":65870,"journal":{"name":"公共管理高层论坛","volume":"19 2","pages":"240-245"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72580835","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 : 2023-06-06DOI: 10.1109/EuCNC/6GSummit58263.2023.10188312
Cheolhee Park, Kyung-Woo Park, Jihyeon Song, Jong-Hoi Kim
As mobile technology has evolved over generations, communication systems have advanced along with it. Moreover, the 6th generation (6G) of mobile networks is expected to evolve into a more decentralized and open environment. Meanwhile, with these advancements in network systems, the attack surface that can be exposed to adversaries has expanded, and potential threats have become more sophisticated. To secure network sys-tems from these potential attacks, various studies have focused on intrusion detection systems. In particular, studies on artificial intelligence-based network intrusion detection systems have been actively conducted and have shown remarkable results. However, most of these studies concentrate on centralized environments and may not be suitable for deployment in distributed systems. In this paper, we propose a distributed learning-based intrusion detection system that can efficiently train predictive models in a decentralized environment and enable learning in systems with varying computing capabilities. We leveraged a state-of-the-art split learning approach, which allows for models to be trained in distributed systems with different computing resources. In our experiments, we evaluate the models using data collected in a 5G mobile network environment and demonstrate that the proposed system can be applied for network security in the next-generation mobile environment.
{"title":"Distributed Learning-Based Intrusion Detection in 5G and Beyond Networks","authors":"Cheolhee Park, Kyung-Woo Park, Jihyeon Song, Jong-Hoi Kim","doi":"10.1109/EuCNC/6GSummit58263.2023.10188312","DOIUrl":"https://doi.org/10.1109/EuCNC/6GSummit58263.2023.10188312","url":null,"abstract":"As mobile technology has evolved over generations, communication systems have advanced along with it. Moreover, the 6th generation (6G) of mobile networks is expected to evolve into a more decentralized and open environment. Meanwhile, with these advancements in network systems, the attack surface that can be exposed to adversaries has expanded, and potential threats have become more sophisticated. To secure network sys-tems from these potential attacks, various studies have focused on intrusion detection systems. In particular, studies on artificial intelligence-based network intrusion detection systems have been actively conducted and have shown remarkable results. However, most of these studies concentrate on centralized environments and may not be suitable for deployment in distributed systems. In this paper, we propose a distributed learning-based intrusion detection system that can efficiently train predictive models in a decentralized environment and enable learning in systems with varying computing capabilities. We leveraged a state-of-the-art split learning approach, which allows for models to be trained in distributed systems with different computing resources. In our experiments, we evaluate the models using data collected in a 5G mobile network environment and demonstrate that the proposed system can be applied for network security in the next-generation mobile environment.","PeriodicalId":65870,"journal":{"name":"公共管理高层论坛","volume":"23 1","pages":"490-495"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78639475","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 : 2023-06-06DOI: 10.1109/EuCNC/6GSummit58263.2023.10188272
Manuel M. Ferreira, F. Cardoso, S. Ambroziak, Mariella Särestöniemi, K. Turbic, L. Correia
In this paper, an analysis of depolarisation in Body Area Networks for Body-to-Infrastructure communications based on a measurement campaign in the 5.8 GHz band in an indoor environment is performed. Measurements were made with an off-body antenna transmitting linearly polarised signals and dual-polarised receiving antennas carried by the user on the body. A Normal Distribution with a mean of 2.0 dB and a standard deviation of 4.3 dB is found to be the best fit for modelling cross-polarisation discrimination. The average correlation between the signals received by the orthogonally polarised antennas is below 0.5, showing that polarisation diversity can be used. A model is proposed for the average value of the standard deviation of the cross-polarisation discrimination ratio as a function of the transmitted polarisation, the mobility of users and link dynamics.
{"title":"Depolarisation Model for a BAN Indoor Scenario","authors":"Manuel M. Ferreira, F. Cardoso, S. Ambroziak, Mariella Särestöniemi, K. Turbic, L. Correia","doi":"10.1109/EuCNC/6GSummit58263.2023.10188272","DOIUrl":"https://doi.org/10.1109/EuCNC/6GSummit58263.2023.10188272","url":null,"abstract":"In this paper, an analysis of depolarisation in Body Area Networks for Body-to-Infrastructure communications based on a measurement campaign in the 5.8 GHz band in an indoor environment is performed. Measurements were made with an off-body antenna transmitting linearly polarised signals and dual-polarised receiving antennas carried by the user on the body. A Normal Distribution with a mean of 2.0 dB and a standard deviation of 4.3 dB is found to be the best fit for modelling cross-polarisation discrimination. The average correlation between the signals received by the orthogonally polarised antennas is below 0.5, showing that polarisation diversity can be used. A model is proposed for the average value of the standard deviation of the cross-polarisation discrimination ratio as a function of the transmitted polarisation, the mobility of users and link dynamics.","PeriodicalId":65870,"journal":{"name":"公共管理高层论坛","volume":"28 1","pages":"186-191"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77577917","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 : 2023-06-06DOI: 10.1109/EuCNC/6GSummit58263.2023.10188366
Prayag Gowgi, V. Yajnanarayana
The future wireless network deployments in 5G and beyond are dense, operating at multiple frequency bands, and support higher capacity by opportunistically selecting among multiple frequency bands. This results in frequent measurement across different frequency bands, increased battery draining of user equipment (UE), excessive traffic in the control plane and higher latency. In this study, we propose spatio-temporal self-organizing maps for predicting the time evolution of multiple downlink and uplink features by computing the Markov order of the multi-variate time series. We develop an algorithm to estimate the Markov order and use it in conjunction with spatio-temporal self-organizing maps to predict signal dynamics. The proposed algorithm is validated against the publicly available data-sets and Ericsson's 5G test-bed data-sets. The proposed algorithm is able to predict signals up to 13 and 28 seconds into the future for fast and slow-moving UEs.
{"title":"Temporal Self-organizing Maps for Prediction of Feature Evolution","authors":"Prayag Gowgi, V. Yajnanarayana","doi":"10.1109/EuCNC/6GSummit58263.2023.10188366","DOIUrl":"https://doi.org/10.1109/EuCNC/6GSummit58263.2023.10188366","url":null,"abstract":"The future wireless network deployments in 5G and beyond are dense, operating at multiple frequency bands, and support higher capacity by opportunistically selecting among multiple frequency bands. This results in frequent measurement across different frequency bands, increased battery draining of user equipment (UE), excessive traffic in the control plane and higher latency. In this study, we propose spatio-temporal self-organizing maps for predicting the time evolution of multiple downlink and uplink features by computing the Markov order of the multi-variate time series. We develop an algorithm to estimate the Markov order and use it in conjunction with spatio-temporal self-organizing maps to predict signal dynamics. The proposed algorithm is validated against the publicly available data-sets and Ericsson's 5G test-bed data-sets. The proposed algorithm is able to predict signals up to 13 and 28 seconds into the future for fast and slow-moving UEs.","PeriodicalId":65870,"journal":{"name":"公共管理高层论坛","volume":"338 1","pages":"66-71"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86791692","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 : 2023-06-06DOI: 10.1109/EuCNC/6GSummit58263.2023.10188361
Abhipshito Bhattacharya, M. Petrova
The launch of private non-geostationary satellite orbit (NGSO) satellite constellations in recent years such as SpaceX's Starlink and Amazon's Kuiper has put satellite communications in focus as a potential provider of high-throughput broadband services. It is expected that satellite networks will be integrated into future 6G networks, and fortify global connectivity in the upcoming years. One major challenge with these NGSO networks, is the mobility-management. Due to the inherent high speed mobility of the satellites, the coverage area from a particular satellite to the ground is constantly moving, so frequent handovers are needed to sustain satellite-to-ground links. In this paper, we implement and evaluate the impact of three satellite-to-ground-link handover (HO) strategies, namely Closest Satellite, Max-Visibility and CINR - Threshold on the satellite-to-ground link performance in terms of spectrum efficiency and HO rate under high and low interference regimes. We consider three prominent private LEO mega-constellations namely SpaceX Gen2, Kuiper and OneWebLEO; and one MEO constellation namely Mangata, all operating in the Ka-band. Through extensive simulations we show that the CINR-Threshold strategy gives the best trade-off between throughput and HO rate, irrespective of the constellation design, level of interference and location.
{"title":"Study on Handover Techniques for Satellite-to-Ground Links in High and Low Interference Regimes","authors":"Abhipshito Bhattacharya, M. Petrova","doi":"10.1109/EuCNC/6GSummit58263.2023.10188361","DOIUrl":"https://doi.org/10.1109/EuCNC/6GSummit58263.2023.10188361","url":null,"abstract":"The launch of private non-geostationary satellite orbit (NGSO) satellite constellations in recent years such as SpaceX's Starlink and Amazon's Kuiper has put satellite communications in focus as a potential provider of high-throughput broadband services. It is expected that satellite networks will be integrated into future 6G networks, and fortify global connectivity in the upcoming years. One major challenge with these NGSO networks, is the mobility-management. Due to the inherent high speed mobility of the satellites, the coverage area from a particular satellite to the ground is constantly moving, so frequent handovers are needed to sustain satellite-to-ground links. In this paper, we implement and evaluate the impact of three satellite-to-ground-link handover (HO) strategies, namely Closest Satellite, Max-Visibility and CINR - Threshold on the satellite-to-ground link performance in terms of spectrum efficiency and HO rate under high and low interference regimes. We consider three prominent private LEO mega-constellations namely SpaceX Gen2, Kuiper and OneWebLEO; and one MEO constellation namely Mangata, all operating in the Ka-band. Through extensive simulations we show that the CINR-Threshold strategy gives the best trade-off between throughput and HO rate, irrespective of the constellation design, level of interference and location.","PeriodicalId":65870,"journal":{"name":"公共管理高层论坛","volume":"26 4 1","pages":"359-364"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89752956","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 : 2023-06-06DOI: 10.1109/EuCNC/6GSummit58263.2023.10188344
Muhammad Usman, Simone Ferlin Oliveira, A. Brunström, J. Taheri
Modern information technology (IT) infrastructures are becoming more complex to meet the diverse demands of emerging technology paradigms such as 5G/6G networks, edge, and internet of things (IoT). The intricacy of these infrastructures grows further when hosting containerized workloads as microservices, resulting in the challenge to detect and troubleshoot performance issues, incidents or even outages of critical use cases like industrial automation processes. Thus, fine-grained measurements and associated visualization are essential for operation observability of these IT infrastructures. However, most existing observability tools operate independently without systematically covering the entire data workflow. This paper presents an integrated design for multi-stage observability workflows, denoted as DistributEd obServability frameworK (DESK). The proposed framework aims to improve observability workflows for measurement, collection, fusion, storage, visualization, and notification. As a proof of concept, we deployed the framework in a Kubernetes-based testbed to demonstrate the successful integration of various components and usability of collected observability data. We also conducted a comprehensive study to determine the caused overhead by DESK agents at the reasonably powerful edge node hardware, which shows on average a CPU and memory overhead of around 2.5 % of total available hardware resource.
{"title":"DESK: Distributed Observability Framework for Edge-Based Containerized Microservices","authors":"Muhammad Usman, Simone Ferlin Oliveira, A. Brunström, J. Taheri","doi":"10.1109/EuCNC/6GSummit58263.2023.10188344","DOIUrl":"https://doi.org/10.1109/EuCNC/6GSummit58263.2023.10188344","url":null,"abstract":"Modern information technology (IT) infrastructures are becoming more complex to meet the diverse demands of emerging technology paradigms such as 5G/6G networks, edge, and internet of things (IoT). The intricacy of these infrastructures grows further when hosting containerized workloads as microservices, resulting in the challenge to detect and troubleshoot performance issues, incidents or even outages of critical use cases like industrial automation processes. Thus, fine-grained measurements and associated visualization are essential for operation observability of these IT infrastructures. However, most existing observability tools operate independently without systematically covering the entire data workflow. This paper presents an integrated design for multi-stage observability workflows, denoted as DistributEd obServability frameworK (DESK). The proposed framework aims to improve observability workflows for measurement, collection, fusion, storage, visualization, and notification. As a proof of concept, we deployed the framework in a Kubernetes-based testbed to demonstrate the successful integration of various components and usability of collected observability data. We also conducted a comprehensive study to determine the caused overhead by DESK agents at the reasonably powerful edge node hardware, which shows on average a CPU and memory overhead of around 2.5 % of total available hardware resource.","PeriodicalId":65870,"journal":{"name":"公共管理高层论坛","volume":"316 1","pages":"617-622"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89050685","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 : 2023-06-06DOI: 10.1109/EuCNC/6GSummit58263.2023.10188367
Tobias W. Weber, Eike Lyczkowski, W. Kiess
Simulations are an important component for the investigation of wireless technologies. Thereby, a compute efficient channel model is needed for simulations of the physical layer. For the investigation of packet duplication a fading model with correlated channels is of high importance. We propose such a complexity-optimized fading model whose parameters fading strength, autocorrelation and channel correlation can be adjusted with fine granularity. The model is based on the sum of sinusoids method and includes Rayleigh distributed small scale fading and normal distributed large scale fading. The model is validated for its mathematical properties within a wide parameter range and its source code is published.
{"title":"Non-geometric correlated channel fading model with linear complexity","authors":"Tobias W. Weber, Eike Lyczkowski, W. Kiess","doi":"10.1109/EuCNC/6GSummit58263.2023.10188367","DOIUrl":"https://doi.org/10.1109/EuCNC/6GSummit58263.2023.10188367","url":null,"abstract":"Simulations are an important component for the investigation of wireless technologies. Thereby, a compute efficient channel model is needed for simulations of the physical layer. For the investigation of packet duplication a fading model with correlated channels is of high importance. We propose such a complexity-optimized fading model whose parameters fading strength, autocorrelation and channel correlation can be adjusted with fine granularity. The model is based on the sum of sinusoids method and includes Rayleigh distributed small scale fading and normal distributed large scale fading. The model is validated for its mathematical properties within a wide parameter range and its source code is published.","PeriodicalId":65870,"journal":{"name":"公共管理高层论坛","volume":"19 1","pages":"210-215"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90946730","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 : 2023-06-06DOI: 10.1109/EuCNC/6GSummit58263.2023.10188351
Ch. Chountala, Isabella Cerutti, J. Chareau, Philippe Viaud, Fausto Bonavitacola
Electromagnetic field (EMF) exposure from mobile networks is raising discussions not only on their safety levels but also on the assessment methods, since the evolution of technology among the various generations requires different measurement techniques. This paper describes an experimental study for measuring the 5G EMF emissions caused by mobile terminals. To consider a realistic worst-case scenario, the measurements were taken in the direction of maximum antenna gain of the devices while inducing maximum uplink traffic in the mobile channel. The results provide valuable feedback on the exposure assessment of the mobile terminals connected to 5G networks. Moreover the measurement setup and methodology can provide useful insights in developing exposure setups for future studies analyzing biological interactions with EMFs.
{"title":"Experimental Assessment of Electromagnetic Field Exposure from 5G Terminal Devices","authors":"Ch. Chountala, Isabella Cerutti, J. Chareau, Philippe Viaud, Fausto Bonavitacola","doi":"10.1109/EuCNC/6GSummit58263.2023.10188351","DOIUrl":"https://doi.org/10.1109/EuCNC/6GSummit58263.2023.10188351","url":null,"abstract":"Electromagnetic field (EMF) exposure from mobile networks is raising discussions not only on their safety levels but also on the assessment methods, since the evolution of technology among the various generations requires different measurement techniques. This paper describes an experimental study for measuring the 5G EMF emissions caused by mobile terminals. To consider a realistic worst-case scenario, the measurements were taken in the direction of maximum antenna gain of the devices while inducing maximum uplink traffic in the mobile channel. The results provide valuable feedback on the exposure assessment of the mobile terminals connected to 5G networks. Moreover the measurement setup and methodology can provide useful insights in developing exposure setups for future studies analyzing biological interactions with EMFs.","PeriodicalId":65870,"journal":{"name":"公共管理高层论坛","volume":"25 1","pages":"543-548"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81891270","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 : 2023-06-06DOI: 10.1109/EuCNC/6GSummit58263.2023.10188379
Seppo Yrjölä, Marja Matinmikko-Blue, Petri Ahokangas
This paper expands the current 6G visioning stemming from usage scenarios, key value and key performance indicators towards stakeholder dynamics utilizing stakeholder analysis from strategic management. In developing a future oriented 6G system involving incumbents and a large number of novel stakeholders with distinct views, it is essential to understand the operational environment, key stakeholder interactions, and dynamics. This paper explores the origins of the 6G platforms and identifies key stakeholders of the future 6G ecosystem. Stakeholder salience attributes including power, legitimacy, and urgency are further analyzed. Results indicate that the competition for digital platforms' power and legitimacy is intensifying as catalytic combinations of cloud computing, AI and data are ubiquitously embedded and multiplying their impact across 6G system. The urgency indicators for the development of pervasive general-purpose 6G are collaborative research, harmonized standardization, and anticipatory regulation efforts for empowered users and developers in the ecosystem.
{"title":"Developing 6G Visions with Stakeholder Analysis of 6G Ecosystem","authors":"Seppo Yrjölä, Marja Matinmikko-Blue, Petri Ahokangas","doi":"10.1109/EuCNC/6GSummit58263.2023.10188379","DOIUrl":"https://doi.org/10.1109/EuCNC/6GSummit58263.2023.10188379","url":null,"abstract":"This paper expands the current 6G visioning stemming from usage scenarios, key value and key performance indicators towards stakeholder dynamics utilizing stakeholder analysis from strategic management. In developing a future oriented 6G system involving incumbents and a large number of novel stakeholders with distinct views, it is essential to understand the operational environment, key stakeholder interactions, and dynamics. This paper explores the origins of the 6G platforms and identifies key stakeholders of the future 6G ecosystem. Stakeholder salience attributes including power, legitimacy, and urgency are further analyzed. Results indicate that the competition for digital platforms' power and legitimacy is intensifying as catalytic combinations of cloud computing, AI and data are ubiquitously embedded and multiplying their impact across 6G system. The urgency indicators for the development of pervasive general-purpose 6G are collaborative research, harmonized standardization, and anticipatory regulation efforts for empowered users and developers in the ecosystem.","PeriodicalId":65870,"journal":{"name":"公共管理高层论坛","volume":"45 1","pages":"705-710"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88370612","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 : 2023-06-06DOI: 10.1109/EuCNC/6GSummit58263.2023.10188371
E. Kartsakli, J. Pérez-Romero, O. Sallent, N. Bartzoudis, Valerio Frascella, S. Mohalik, Thiis Metsch, A. Antonopoulos, Ömer Faruk Tuna, Yansha Deng, Xin Tao, M. A. Serrano, E. Quiñones
Edge computing is a key enabling technology that is expected to play a crucial role in beyond 5G (B5G) and 6G communication networks. By bringing computation closer to where the data is generated, and leveraging Artificial Intelligence (AI) capabilities for advanced automation and orchestration, edge computing can enable a wide range of emerging applications with extreme requirements in terms of latency and computation, across multiple vertical domains. In this context, this paper first discusses the key technological challenges for the seamless integration of edge computing within B5G/6G and then presents a roadmap for the edge computing evolution, proposing a novel design approach for an open, intelligent, trustworthy, and distributed edge architecture.
{"title":"AI-Powered Edge Computing Evolution for Beyond 5G Communication Networks","authors":"E. Kartsakli, J. Pérez-Romero, O. Sallent, N. Bartzoudis, Valerio Frascella, S. Mohalik, Thiis Metsch, A. Antonopoulos, Ömer Faruk Tuna, Yansha Deng, Xin Tao, M. A. Serrano, E. Quiñones","doi":"10.1109/EuCNC/6GSummit58263.2023.10188371","DOIUrl":"https://doi.org/10.1109/EuCNC/6GSummit58263.2023.10188371","url":null,"abstract":"Edge computing is a key enabling technology that is expected to play a crucial role in beyond 5G (B5G) and 6G communication networks. By bringing computation closer to where the data is generated, and leveraging Artificial Intelligence (AI) capabilities for advanced automation and orchestration, edge computing can enable a wide range of emerging applications with extreme requirements in terms of latency and computation, across multiple vertical domains. In this context, this paper first discusses the key technological challenges for the seamless integration of edge computing within B5G/6G and then presents a roadmap for the edge computing evolution, proposing a novel design approach for an open, intelligent, trustworthy, and distributed edge architecture.","PeriodicalId":65870,"journal":{"name":"公共管理高层论坛","volume":"67 1","pages":"478-483"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73226299","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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