公共管理高层论坛最新文献_第8页

Human Robot Collaboration: an assessment and optimization methodology based on dynamic data exchange 人机协作:一种基于动态数据交换的评估与优化方法

公共管理高层论坛 Pub Date : 2023-06-06 DOI: 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}

引用次数: 0

SeqDQN: Multi-Agent Deep Reinforcement Learning for Uplink URLLC with Strict Deadlines SeqDQN:基于严格期限的Uplink URLLC的多智能体深度强化学习

公共管理高层论坛 Pub Date : 2023-06-06 DOI: 10.1109/EuCNC/6GSummit58263.2023.10188325

Benoît-Marie Robaglia, M. Coupechoux, D. Tsilimantos, Apostolos Destounis

{"title":"SeqDQN: Multi-Agent Deep Reinforcement Learning for Uplink URLLC with Strict Deadlines","authors":"Benoît-Marie Robaglia, M. Coupechoux, D. Tsilimantos, Apostolos Destounis","doi":"10.1109/EuCNC/6GSummit58263.2023.10188325","DOIUrl":"https://doi.org/10.1109/EuCNC/6GSummit58263.2023.10188325","url":null,"abstract":"Recent studies suggest that Multi-Agent Reinforcement Learning (MARL) can be a promising approach to tackle wireless telecommunication problems and Multiple Access (MA) in particular. The most relevant MARL algorithms for distributed MA are those with “decentralized execution”, where an agent's actions are only functions of their own local observation history and agents cannot exchange any information. Centralized- Training-Decentralized-Execution (CTDE) and Independent Learning (IL) are the two main families in this category. However, while the former suffers from high communication overhead during the centralized training, the latter suffers from various theoretical shortcomings. In this paper, we first study the performance of these two MARL frameworks in the context of Ultra Reliable Low Latency Communication (URLLC), where MA is constrained by strict deadlines. Second, we propose a new distributed MARL framework, namely SeqDQN, leveraging the constraints of our URLLC problem to train agents in a more efficient way. We demonstrate that not only does our solution outperform the traditional random access baselines, but it also outperforms state-of-the-art MARL algorithms in terms of performance and convergence time.","PeriodicalId":65870,"journal":{"name":"公共管理高层论坛","volume":"31 1","pages":"623-628"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88463328","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}

引用次数: 0

Graph-Based User Scheduling Algorithms for LEO-MIMO Non-Terrestrial Networks 基于图的LEO-MIMO非地面网络用户调度算法

公共管理高层论坛 Pub Date : 2023-06-06 DOI: 10.1109/EuCNC/6GSummit58263.2023.10188287

B. Ahmad, D. Riviello, A. Guidotti, A. Vanelli-Coralli

引用次数: 0

IQ Imbalance Compensation with a Pilot Sequence 用导频序列补偿IQ不平衡

公共管理高层论坛 Pub Date : 2023-06-06 DOI: 10.1109/EuCNC/6GSummit58263.2023.10188306

Enrique T. R. Pinto, V. Tapio, Markku J. Juntti

引用次数: 0

Power Allocation for Multi-Cell Non-Orthogonal Multiple Access Networks: Energy Efficiency vs. Throughput vs. Power Consumption 多小区非正交多址网络的功率分配:能效、吞吐量和功耗

公共管理高层论坛 Pub Date : 2023-06-06 DOI: 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}

引用次数: 1

DQN-based Intelligent Application Placement with Delay-Priority in Multi MEC Systems 多MEC系统中基于dqn的延迟优先级智能应用布局

公共管理高层论坛 Pub Date : 2023-06-06 DOI: 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}

引用次数: 0

Meta-Learning Based Few Pilots Demodulation and Interference Cancellation For NOMA Uplink 基于元学习的NOMA上行少导解调与干扰消除

公共管理高层论坛 Pub Date : 2023-06-06 DOI: 10.1109/EuCNC/6GSummit58263.2023.10188320

H. Issa, M. Shehab, H. Alves

引用次数: 0

O-RAN based Non-Terrestrial Networks: Trends and Challenges 基于O-RAN的非地面网络:趋势与挑战

公共管理高层论坛 Pub Date : 2023-06-06 DOI: 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}

引用次数: 3

Improving Indoor Positioning Accuracy Using RIS-based RSS Optimization 基于ris的RSS优化提高室内定位精度

公共管理高层论坛 Pub Date : 2023-06-06 DOI: 10.1109/EuCNC/6GSummit58263.2023.10188251

Somayeh Bazin, K. Navaie

引用次数: 0

Real-Time MEMS-assisted Beam Steering for Visible Light Communication System 实时微机电系统辅助光束转向的可见光通信系统

公共管理高层论坛 Pub Date : 2023-06-06 DOI: 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}

引用次数: 0