公共管理高层论坛Pub Date : 2023-06-06DOI: 10.1109/EuCNC/6GSummit58263.2023.10188314
Tautvydas Lisas, R. Fréin
{"title":"Quantum Classifiers for Video Quality Delivery","authors":"Tautvydas Lisas, R. Fréin","doi":"10.1109/EuCNC/6GSummit58263.2023.10188314","DOIUrl":"https://doi.org/10.1109/EuCNC/6GSummit58263.2023.10188314","url":null,"abstract":"Classical classifiers such as the Support Vector Classifier (SVC) struggle to accurately classify video Quality of Delivery (QoD) time-series due to the challenge in constructing suitable decision boundaries using small amounts of training data. We develop a technique that takes advantage of a quantum-classical hybrid infrastructure called Quantum-Enhanced Codecs (QEC). We evaluate a (1) purely classical, (2) hybrid kernel, and (3) purely quantum classifier for video QoD congestion classification, where congestion is either low, medium or high, using QoD measurements from a real networking test-bed. Findings show that the SVC performs the classification task 4% better in the low congestion state and the kernel method performs 6.1% and 10.1% better for the medium and high congestion states. Empirical evidence suggests that when the SVC is trained on a very low amount of data, the classification accuracy varies significantly depending on the quality of the training data, however, the variance in classification accuracy of quantum models is significantly lower. Classical video QoD classifiers benefit from the quantum data embedding techniques. They learn better decision regions using less training data.","PeriodicalId":65870,"journal":{"name":"公共管理高层论坛","volume":"94 1","pages":"448-453"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83574221","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}
公共管理高层论坛Pub Date : 2023-06-06DOI: 10.1109/EuCNC/6GSummit58263.2023.10188299
C. Adjih, Chung Shue Chen, Chetanveer Sharma Gobin, Iman Hmedoush
{"title":"Designing Medium Access Control Protocol Sequences Through Deep Reinforcement Learning","authors":"C. Adjih, Chung Shue Chen, Chetanveer Sharma Gobin, Iman Hmedoush","doi":"10.1109/EuCNC/6GSummit58263.2023.10188299","DOIUrl":"https://doi.org/10.1109/EuCNC/6GSummit58263.2023.10188299","url":null,"abstract":"This work aims to design protocol sequences through deep reinforcement learning (DRL). Protocol sequences are periodic binary sequences that define multiple access control among users, introduced for systems considering collision channel without feedback (CCw/oFB). In this paper, we leverage the recent advancement of DRL methods to design protocol sequences with desirable new properties, namely Throughput Maximizing User- Irrepressible (TMUI) sequences. TMUI has two specific properties: (i) user-irrepressibility (UI), and (ii) maximizing the minimum individual throughput among the users. We assumed that the transmission channel is divided into time slots and the starting time of each user in joining the system is arbitrary such that there exist random relative time offsets. We use a DRL approach to find TMUI sequences. We report the obtained TMUI protocol sequences and conduct numerical studies comparing TMUI against slotted ALOHA. Simulation results also show that the new medium access control (MAC) protocol does hold the UI property and can achieve substantially higher minimum individual user throughput, under the same system parameters.","PeriodicalId":65870,"journal":{"name":"公共管理高层论坛","volume":"PP 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84321727","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}
公共管理高层论坛Pub Date : 2023-06-06DOI: 10.1109/EuCNC/6GSummit58263.2023.10188313
A. Baratta, Vittorio Solina, A. Cimino, M. Gnoni, Letizia Nicoletti
{"title":"Human Robot Collaboration: an assessment and optimization methodology based on dynamic data exchange","authors":"A. Baratta, Vittorio Solina, A. Cimino, M. Gnoni, Letizia Nicoletti","doi":"10.1109/EuCNC/6GSummit58263.2023.10188313","DOIUrl":"https://doi.org/10.1109/EuCNC/6GSummit58263.2023.10188313","url":null,"abstract":"When talking about Human Robot Collaboration (HRC), Industry 4.0 leverages on the central role of workers that needs to be assessed over multiple dimensions, including ergonomics, costs, productivity and time performance measures. The aim of this research work is to develop a reference methodological approach to enable a holistic HRC assessment and optimization by considering several assessment parameters. Due to the wide complexity of the topic, the authors propose a simulation-based Digital Twin (DT) approach in order to recreate, with satisfactory accuracy, the real workplace in a simulated environment. Regular update of the DT is foreseen both under a static as well as dynamic (by using a set of multiple sensors) way thus enabling DT capability. Ergonomics, costs and performance assessment methods are seamlessly integrated within the simulation environment thus providing a comprehensive setting for sustainable HRC testing based on holistic assessment of different issues. Moreover, the authors present an infrastructure for the implementation of the proposed approach as well as go into the details of the dynamic data exchange between the workplace and the DT by proposing a data acquisition architecture.","PeriodicalId":65870,"journal":{"name":"公共管理高层论坛","volume":"1 1","pages":"658-662"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90187177","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}
公共管理高层论坛Pub Date : 2023-06-06DOI: 10.1109/EuCNC/6GSummit58263.2023.10188245
Saeid Sheikhi, Panos Kostakos
{"title":"DDoS attack detection using unsupervised federated learning for 5G networks and beyond","authors":"Saeid Sheikhi, Panos Kostakos","doi":"10.1109/EuCNC/6GSummit58263.2023.10188245","DOIUrl":"https://doi.org/10.1109/EuCNC/6GSummit58263.2023.10188245","url":null,"abstract":"The rapid expansion of 5G networks, coupled with the emergence of 6G technology, has highlighted the critical need for robust security measures to protect communication infrastructures. A primary security concern in 5G core networks is Distributed Denial of Service (DDoS) attacks, which target the GTP protocol. Conventional methods for detecting these attacks exhibit weaknesses and may struggle to effectively identify novel and undiscovered attacks. In this paper, we proposed a federated learning-based approach to detect DDoS attacks on the GTP protocol within a 5G core network. The suggested model leverages the collective intelligence of multiple devices to efficiently and privately identify DDoS attacks. Additionally, we have developed a 5G testbed architecture that simulates a sophisticated public network, making it ideal for evaluating AI-based security applications and testing the implementation and deployment of the proposed model. The results of our experiments demonstrate that the proposed unsupervised federated learning model effectively detects DDoS attacks on the 5G network while preserving the privacy of individual network data. This underscores the potential of federated learning in enhancing the security of 5G networks and beyond.","PeriodicalId":65870,"journal":{"name":"公共管理高层论坛","volume":"2016 1","pages":"442-447"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86433520","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}
公共管理高层论坛Pub Date : 2023-06-06DOI: 10.1109/EuCNC/6GSummit58263.2023.10188279
S. R. C. Magalhães, S. Bayhan, G. Heijenk
{"title":"Power Allocation for Multi-Cell Non-Orthogonal Multiple Access Networks: Energy Efficiency vs. Throughput vs. Power Consumption","authors":"S. R. C. Magalhães, S. Bayhan, G. Heijenk","doi":"10.1109/EuCNC/6GSummit58263.2023.10188279","DOIUrl":"https://doi.org/10.1109/EuCNC/6GSummit58263.2023.10188279","url":null,"abstract":"The pressing need for more energy-efficient networks requires understanding the trade-offs maintained by emerging technologies that are expected to help serve an increasing number of connected devices and meet their rate requirements. While spectral efficiency is typically a key performance indicator, hence used for optimal resource allocation, energy efficiency and power consumption of a wireless network should also be considered while deciding on the potential adoption of a new technology. In this paper, we focus on non-orthogonal multiple access (NOMA) as it is considered as a candidate radio access scheme due to its promise to improve spectral efficiency. With a goal of understanding whether joint transmission offers benefits over conventional NOMA, we investigate the performance of joint-transmission NOMA and NOMA considering three objectives: throughput maximization (SumRate), energy efficiency maximization (EE), and power minimization (minP). Different from the literature, we incorporate a power consumption model that accounts for the overhead introduced by successive interference cancellation that is necessary to distinguish the intended signal of a NOMA receiver from the interfering signals aimed for other users in the same cluster. After formulating the optimal power allocation problems, we present our solution steps to make the original problems convex for solving them optimally. Our numerical analysis shows that, for the studied two-cell scenario, joint-transmission offers a benefit only in terms of finding a feasible power allocation while NOMA fails in more cases irrespective of the considered objective. Additionally, our investigation of trade-offs between the investigated problems shows orders of magnitude difference in energy efficiency and throughput for small variations in power consumption.","PeriodicalId":65870,"journal":{"name":"公共管理高层论坛","volume":"166 1","pages":"287-292"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75140893","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}
公共管理高层论坛Pub Date : 2023-06-06DOI: 10.1109/EuCNC/6GSummit58263.2023.10188320
H. Issa, M. Shehab, H. Alves
{"title":"Meta-Learning Based Few Pilots Demodulation and Interference Cancellation For NOMA Uplink","authors":"H. Issa, M. Shehab, H. Alves","doi":"10.1109/EuCNC/6GSummit58263.2023.10188320","DOIUrl":"https://doi.org/10.1109/EuCNC/6GSummit58263.2023.10188320","url":null,"abstract":"Non-Orthogonal Multiple Access (NOMA) is at the heart of a paradigm shift towards non-orthogonal communication due to its potential to scale well in massive deployments. Neverthe-less, the overhead of channel estimation remains a key challenge in such scenarios. This paper introduces a data-driven, meta-learning-aided NOMA uplink model that minimizes the channel estimation overhead and does not require perfect channel knowledge. Unlike conventional deep learning successive interference cancellation (SICNet), Meta-Learning aided SIC (meta-SICNet) is able to share experience across different devices, facilitating learning for new incoming devices while reducing training over-head. Our results confirm that meta-SICNet outperforms classical SIC and conventional SICNet as it can achieve a lower symbol error rate with fewer pilots.","PeriodicalId":65870,"journal":{"name":"公共管理高层论坛","volume":"718 1","pages":"84-89"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74765810","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}
公共管理高层论坛Pub Date : 2023-06-06DOI: 10.1109/EuCNC/6GSummit58263.2023.10188308
Riccardo Campana, Carla Amatetti, A. Vanelli-Coralli
{"title":"O-RAN based Non-Terrestrial Networks: Trends and Challenges","authors":"Riccardo Campana, Carla Amatetti, A. Vanelli-Coralli","doi":"10.1109/EuCNC/6GSummit58263.2023.10188308","DOIUrl":"https://doi.org/10.1109/EuCNC/6GSummit58263.2023.10188308","url":null,"abstract":"While 5G networks are already being deployed for commercial applications, Academia and industry are focusing their effort on the development and standardization of the next generations of mobile networks, i.e., 5G-Advance and 6G. Beyond 5G networks will revolutionize communications systems providing seamless connectivity, both in time and in space, to a unique ecosystem consisting of the convergence of the digital, physical, and human domains. In this scenario, Non-Terrestrial Networks (NTN) will play a crucial role by providing ubiquitous, secure, and resilient infrastructure fully integrated into the overall system. The NTN nodes will be organized into a Multi-Layer Multi-dimensional (ML-MD) architecture. This ML-MD network will rely on the interoperability of very different network elements, enabled by the disaggregation and virtualization of network components, their interconnection by open standard interfaces and orchestrated by data-driven network Artificial Intelligence. This paradigm, which has been standardized by the O-RAN Alliance, is now being implemented in Terrestrial Networks (TNs) but has not been fully addressed in NTN, yet. Therefore, this paper aims at exploring the possible implemen-tation of an NTN infrastructure based on the O-RAN approach. By starting with the review of the State of the Art of O-RAN in TNs and flying platforms, we identify a possible architecture solution for an O-RAN-based NTN system and we foresee the O-RAN implementation trends that will increase the NTN system efficiency.","PeriodicalId":65870,"journal":{"name":"公共管理高层论坛","volume":"130 1","pages":"264-269"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74896789","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}
公共管理高层论坛Pub Date : 2023-06-06DOI: 10.1109/EuCNC/6GSummit58263.2023.10188300
Juan Sebastian Camargo, Estefanía Coronado, Claudia Torres-Pérez, Javier Palomares, M. S. Siddiqui
{"title":"DQN-based Intelligent Application Placement with Delay-Priority in Multi MEC Systems","authors":"Juan Sebastian Camargo, Estefanía Coronado, Claudia Torres-Pérez, Javier Palomares, M. S. Siddiqui","doi":"10.1109/EuCNC/6GSummit58263.2023.10188300","DOIUrl":"https://doi.org/10.1109/EuCNC/6GSummit58263.2023.10188300","url":null,"abstract":"In 5G Multi-access Edge Computing (MEC) is critical to bring computing and processing closer to users and enable ultra-low latency communications. When instantiating an application, selecting the MEC host that minimizes the latency but still fulfills the application's requirements is critical. However, as future 6G networks are expected to become even more geo-distributed, and handled by multiple levels of management entities, this labor becomes extremely difficult and Machine Learning (ML) is meant to be a native part of this process. In this context, we propose a Reinforcement Learning model that selects the best possible host to instantiate a MEC application, looking to minimize the end-to-end delay while fulfilling the application requirements. The proposed ML method uses Deep Q-Learning through several stages of environment state, taking an action and rewarding the model when it chooses correctly and penalizing it otherwise. By modifying the reward incentives, we have successfully trained a model that chooses the best host possible delay-wise on a multi-level orchestration scenario, while meeting the applications' requirements. The results obtained via simulation over a series of MEC scenarios show a success rate of up to 96%, optimizing the delay in the long term.","PeriodicalId":65870,"journal":{"name":"公共管理高层论坛","volume":"52 1","pages":"460-465"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75951910","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}
公共管理高层论坛Pub Date : 2023-06-06DOI: 10.1109/EuCNC/6GSummit58263.2023.10188380
Nina Slamnik-Kriještorac, W. Vandenberghe, Najmeh Masoudi-Dione, Stijn Van Staeyen, Xiangyu Lian, Rakshith Kusumakar, J. Márquez-Barja
{"title":"On Assessing the Potential of 5G and beyond for Enhancing Automated Barge Control","authors":"Nina Slamnik-Kriještorac, W. Vandenberghe, Najmeh Masoudi-Dione, Stijn Van Staeyen, Xiangyu Lian, Rakshith Kusumakar, J. Márquez-Barja","doi":"10.1109/EuCNC/6GSummit58263.2023.10188380","DOIUrl":"https://doi.org/10.1109/EuCNC/6GSummit58263.2023.10188380","url":null,"abstract":"As the shipping sector has been one of the major impact factors on economic growth over the past decades, its digitalization is expected to make unprecedented improvements in the safety and reliability of ship control, thereby ultimately enabling the autonomous operations of ships. The automated control of ships will not only mitigate the risks of human mistakes but will also improve the efficiency of operations by preventing unexpected delays while being environmentally sustainable. With the advent of the Internet of Ships (IoS) sector, well-known and mature concepts of the Internet of Things (IoT) are being applied to ships and ports, thereby making them more and more equipped with sensing and communication capabilities that set the ground for improved situational awareness and better decision-making. However, there are many challenges that need to be thoroughly studied, such as the communication between barges, ports, and services, as increased network latency and limitations on the bandwidth imposed by satellite communications could introduce significant risks for accident occurrence, ultimately affecting the overall automated operation/teleoperation of barges. In this paper, we present one of the first attempts to test the potential of 5G systems for automating barge operations, starting from teleoperation as an enabler of automation, thereby creating and validating a cellular-based automated barge control system in a real-life environment. In this system, the barge is sailing in a busy port area such as one of the Port of Antwerp Bruges, while being connected to the 5G network. We assess the quality of the 5G communication system and present and discuss our initial results on the enhancements that 5G could bring to teleoperation and automation of the barge control.","PeriodicalId":65870,"journal":{"name":"公共管理高层论坛","volume":"51 1","pages":"693-698"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77827923","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}
公共管理高层论坛Pub Date : 2023-06-06DOI: 10.1109/EuCNC/6GSummit58263.2023.10188285
J. A. Apolo, Othman Isam Younus, B. Ortega, V. Almenar, Zabih Ghassemlooy
{"title":"Real-Time MEMS-assisted Beam Steering for Visible Light Communication System","authors":"J. A. Apolo, Othman Isam Younus, B. Ortega, V. Almenar, Zabih Ghassemlooy","doi":"10.1109/EuCNC/6GSummit58263.2023.10188285","DOIUrl":"https://doi.org/10.1109/EuCNC/6GSummit58263.2023.10188285","url":null,"abstract":"This paper presents a proof-of-concept of a luminaire-free visible light communications (VLC) link with real-time tracking based on a single micro-electro-mechanical systems (MEMS) mirror. The optical signal is applied to a polymer optical fiber (POF) and the collimated light is launched to the free space channel. The experimental setup includes a camera-based motion detection system and a MEMS mirror. The detection of the object is accomplished through the implementation of a background subtraction algorithm that utilizes Gaussian mixture models, followed by blob analysis and the application of geometrical transformations. Besides, the proposed system offers immunity against the receiver movement since it utilizes a single MEMS mirror to redirect the beam light and maintain a line-of-sight between the transmitter and receiver. The system is evaluated based on the bit error rate (BER) performance for different modulation bandwidths and detector gains. The results demonstrate the capability of the system to achieve speeds up to 10 Mbps using a non-return-to-zero on-off keying (NRZ-OOK) modulation format.","PeriodicalId":65870,"journal":{"name":"公共管理高层论坛","volume":"68 6 1","pages":"329-334"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83563918","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}