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2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)最新文献

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Co-simulated Digital Twin on the Network Edge: the case of platooning 网络边缘上的联合模拟数字孪生:以队列为例
Maurizio Palmieri, C. Quadri, A. Fagiolini, G. P. Rossi, C. Bernardeschi
This paper presents an approach to create high fidelity Digital-Twin models for distributed multi-agent cyber-physical systems based on the combination of simulating components, generated from different modeling languages, each tailored for the specific domain of the subsystem. The approach specifically addresses the wireless communication domain, exploiting a Python module as a simulating component to evaluate the impact of network delay among the distributed elements of the system under analysis. A case study with a platoon of four vehicles following a leading car, all modeled in Simulink, is used to show the applicability of the approach, allowing the comparison between a Vehicle-to-Vehicle communication against a centralized multi-access edge computing paradigm.
本文提出了一种为分布式多智能体网络物理系统创建高保真数字孪生模型的方法,该方法基于由不同建模语言生成的仿真组件的组合,每种建模语言都针对子系统的特定领域进行了定制。该方法专门针对无线通信领域,利用Python模块作为模拟组件来评估被分析系统的分布式元素之间网络延迟的影响。一个案例研究中,四辆车跟随一辆领先的汽车,全部在Simulink中建模,用于展示该方法的适用性,允许比较车对车通信与集中式多访问边缘计算范例。
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引用次数: 0
WIP: When RDMA Meets Wireless WIP:当RDMA遇到无线
Tong Li, Ke Xu, H. Huang, Xinle Du, Kai Zheng
The emerging applications including AR/VR inter-active gaming, ultra-high-definition live streaming, 4K wireless projection, Metaverse, etc. imply the demand for ultra-low latency and ultra-high bandwidth wireless transmission. The legacy kernel TCP stack is not fully satisfactory because it induces the CPU bottleneck on hosts. In this paper, we propose Wireless-RDMA (W-RDMA) that enables RDMA in wireless networks to tackle the CPU bottleneck issue on wireless hosts. The feasibility of W-RDMA is demonstrated through testbed experiments. Technical challenges and future opportunities are further discussed. We believe it is a small but crucial step for enabling RDMA for wireless transmission.
AR/VR互动游戏、超高清直播、4K无线投影、超视界等新兴应用意味着对超低延迟、超高带宽无线传输的需求。遗留的内核TCP堆栈并不完全令人满意,因为它会在主机上引起CPU瓶颈。在本文中,我们提出无线RDMA (W-RDMA),使无线网络中的RDMA能够解决无线主机上的CPU瓶颈问题。通过试验台实验验证了W-RDMA的可行性。进一步讨论了技术挑战和未来机遇。我们相信,这是实现RDMA无线传输的一个小而关键的步骤。
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引用次数: 1
Mobility Management in Industrial IoT Environments 工业物联网环境中的移动性管理
Marco Pettorali, F. Righetti, C. Vallati, Sajal K. Das, G. Anastasi
The Internet Engineering Task Force (IETF) has defined the 6TiSCH architecture to enable the Industrial Inter-net of Things (IIoT). Unfortunately, 6TiSCH does not provide mechanisms to manage node mobility, while many industrial applications involve mobile devices (e.g., mobile robots or wearable devices carried by workers). In this paper, we consider the Synchronized Single-hop Multiple Gateway framework to manage mobility in 6TiSCH networks. For this framework, we address the problem of positioning Border Routers in a deployment area, which is similar to the "Art Gallery" problem, proposing an efficient deployment policy for Border Routers based on geometrical rules. Moreover, we define a flexible Scheduling Function that can be easily adapted to meet the requirements of various IIoT applications. We analyze the considered Scheduling Function in different scenarios with varying traffic patterns, and define an algorithm for sizing the system in such a way to guarantee the application requirements. Finally, we investigate the impact of mobility on the performance of the system. Our results show that the proposed solutions allow to manage node mobility very effectively, and without significant impact on the performance.
互联网工程任务组(IETF)定义了6TiSCH架构,以实现工业物联网(IIoT)。不幸的是,6TiSCH没有提供管理节点移动性的机制,而许多工业应用涉及移动设备(例如,移动机器人或工人携带的可穿戴设备)。在本文中,我们考虑了同步单跳多网关框架来管理6TiSCH网络的移动性。对于这个框架,我们解决了边界路由器在部署区域的定位问题,这类似于“美术馆”问题,提出了一种基于几何规则的边界路由器的有效部署策略。此外,我们定义了一个灵活的调度功能,可以很容易地适应各种工业物联网应用的需求。分析了不同流量模式下的调度功能,并定义了一种算法来对系统进行分级,以保证应用需求。最后,我们研究了移动性对系统性能的影响。我们的结果表明,所提出的解决方案允许非常有效地管理节点移动性,并且不会对性能产生重大影响。
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引用次数: 1
Network Digital Twin for the Industrial Internet of Things 工业物联网的网络数字孪生
Mehdi Kherbache, M. Maimour, É. Rondeau
Digital Twins are starting to revolutionize many industries in the last decade providing a plethora of benefits to optimize the performance of industrial systems. They aim to create a continuously synchronized model of the physical system which enables rapid adaptation to dynamics, mainly unpredicted and undesirable changes. A wide range of industrial fields have already benefited from digital twins technology such as aerospace, manufacturing, healthcare, city management and maritime and shipping. Furthermore, recent research works are starting to study the integration of digital twins for computer networks to allow more innovation and intelligent management. One of the basic building blocks of digital twins technology is the Internet of Things where wireless sensors and actuators are deployed to ensure the interaction between the physical and digital worlds. This type of network is complex to manage due to its severe constraints especially when it controls critical industrial applications, resulting in the Industrial Internet of Things (IIoT). We believe that the optimization of the IIoT will lead to efficient integration of Digital Twins in Industry 4.0. In this paper, we design a Network Digital Twin for the IIoT where sensors, actuators and communication infrastructure are replicated in the digital twin to enable intelligent real-time management of such networks. This way, new networking services such as predictive maintenance, network diagnosis, resource allocation, energy optimization with other intelligent services can be efficiently integrated and exploited in the network life-cycle. We validate the proposed architecture by providing a promising prototype implementation that should unleash the full potential of the network digital twin.
在过去的十年中,数字双胞胎开始给许多行业带来革命性的变化,为优化工业系统的性能提供了大量的好处。他们的目标是创建一个连续同步的物理系统模型,使其能够快速适应动态,主要是不可预测和不希望发生的变化。广泛的工业领域已经从数字孪生技术中受益,如航空航天、制造业、医疗保健、城市管理、海事和航运。此外,最近的研究工作正在开始研究计算机网络的数字双胞胎集成,以允许更多的创新和智能管理。数字孪生技术的基本组成部分之一是物联网,其中部署了无线传感器和执行器,以确保物理世界和数字世界之间的交互。由于其严格的限制,这种类型的网络管理起来很复杂,特别是当它控制关键的工业应用时,导致了工业物联网(IIoT)。我们相信,工业物联网的优化将导致工业4.0中数字孪生的高效融合。在本文中,我们为工业物联网设计了一个网络数字孪生,其中传感器,执行器和通信基础设施在数字孪生中复制,以实现对此类网络的智能实时管理。从而在网络生命周期内,将预测性维护、网络诊断、资源分配、能源优化等新型网络服务与其他智能服务高效融合和利用。我们通过提供一个有前途的原型实现来验证所提议的架构,该原型实现应该释放网络数字孪生的全部潜力。
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引用次数: 6
Using network simulators as digital twins of 5G/B5G mobile networks 使用网络模拟器作为5G/B5G移动网络的数字双胞胎
G. Nardini, G. Stea
Digital Twins (DTs) have been proposed as digital replicas of physical entities (e.g., manufacturing plants), which one can observe and interact with, e.g., to perform what-if analysis. In this paper, we argue that mobile networks need DTs as well, and network simulators appear to be promising candidates to fulfill that role. We discuss the challenges that need be addressed to make this happen, e.g., centralized vs. distributed implementation, gathering input from the physical network, security issues and hosting, and the possibilities offered by network simulation in terms of what-if analysis, defining the concepts of lockstep and branching analysis. We exemplify the above concepts using Simu5G, a popular 5G/B5G simulation library for OMNeT++, as a reference case study.
数字孪生(DTs)已被提议作为物理实体(例如,制造工厂)的数字复制品,人们可以观察并与之交互,例如,执行假设分析。在本文中,我们认为移动网络也需要dt,而网络模拟器似乎是履行这一角色的有希望的候选者。我们讨论了实现这一目标需要解决的挑战,例如,集中式与分布式实现,从物理网络收集输入,安全问题和托管,以及网络模拟在假设分析方面提供的可能性,定义了锁步和分支分析的概念。我们使用Simu5G(一个流行的omnet++ 5G/B5G仿真库)作为参考案例研究来举例说明上述概念。
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引用次数: 3
DTCPN: A Digital Twin Cyber Platform Based on NFV DTCPN:基于NFV的数字孪生网络平台
Xiulei Wang, Yan Gao, Li Deng, Ming Chen
Existing network emulation or simulation platforms provide efficient way to analyze, test and evaluate new network technology and equipment. However, these platforms have disadvantages such as poor interactivity, model sensitive and low reality. To solve these problems, a Digital Twin Cyber Platform based on NFV (DTCPN) is proposed in this paper. Firstly, by analyzing the function principles of digital twin and NFV technology, a system model which combines the advantages of digital twin and NFV is proposed. Secondly, the working principle and advantages of DTCPN are presented. Thirdly, the prototype of DTCPN is designed and typical applications of DTCPN in network security, network management and network applications are presented. The evaluation results show that DTCPN works in a way free from network modeling and provide an easy interaction and high reality technology for network innovations.
现有的网络仿真或仿真平台为分析、测试和评估新的网络技术和设备提供了有效的途径。然而,这些平台存在交互性差、模型敏感性低、真实感低等缺点。为了解决这些问题,本文提出了一种基于NFV的数字孪生网络平台(DTCPN)。首先,通过分析数字孪生和NFV技术的功能原理,提出了一种结合数字孪生和NFV优势的系统模型。其次,介绍了DTCPN的工作原理和优点。第三,设计了DTCPN的原型,介绍了DTCPN在网络安全、网络管理和网络应用方面的典型应用。评估结果表明,DTCPN的工作方式不需要网络建模,为网络创新提供了一种简单的交互和高真实感技术。
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引用次数: 2
Reviewers: SC2 2022 审稿人:SC2 2022
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引用次数: 0
Three-dimensional Stable Task Assignment in Semi-opportunistic Mobile Crowdsensing 半机会移动众测中的三维稳定任务分配
F. Yucel, E. Bulut
In semi-opportunistic mobile crowdsensing (SO-MCS), workers are asked to provide the matching platform with multiple paths they find acceptable between their starting locations and destinations in order to alleviate the problem of poor coverage in opportunistic MCS without forcing them to take potentially much costly and hence undesirable paths as in participatory MCS. While these alternative paths open up new assignment possibilities between workers and tasks, they also make it more challenging to find a stable or preference-aware task assignment (TA), as they bring a new dimension to the TA problem (i.e., workers/paths/tasks instead of workers/tasks as in previous work), and introduce complex requirements to achieve stability by satisfying user preferences. In this paper, we formally define the stability conditions for three-dimensional task assignments in SO-MCS, and propose two polynomial-time TA algorithms: an exact algorithm for SO-MCS systems with uniform worker qualities, and a c-approximate algorithm for general SO-MCS systems, where c is the number of the acceptable paths of the worker with the largest set of acceptable paths. Through extensive simulations, we demonstrate that the proposed algorithms significantly outperform the state-of-the-art TA algorithms in terms of stability (or user happiness) in most scenarios.
在半机会主义移动众感(SO-MCS)中,工作人员被要求为匹配平台提供他们认为从起点到目的地之间可接受的多条路径,以缓解机会主义MCS中覆盖率低的问题,而不会迫使他们采取参与式MCS中可能非常昂贵且因此不受欢迎的路径。虽然这些替代路径在工人和任务之间开辟了新的分配可能性,但它们也使找到稳定或偏好感知的任务分配(TA)变得更具挑战性,因为它们为TA问题带来了新的维度(即工人/路径/任务,而不是像以前的工作那样的工人/任务),并引入了复杂的需求,以通过满足用户偏好来实现稳定性。本文正式定义了SO-MCS中三维任务分配的稳定性条件,并提出了两种多项式时间的TA算法:一种是针对具有均匀工人素质的SO-MCS系统的精确算法,一种是针对一般SO-MCS系统的c-近似算法,其中c为具有最大可接受路径集的工人的可接受路径数。通过广泛的模拟,我们证明了在大多数情况下,所提出的算法在稳定性(或用户满意度)方面明显优于最先进的TA算法。
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引用次数: 1
WoTwins: Automatic Digital Twin Generator for the Web of Things WoTwins:物联网的自动数字双胞胎发生器
L. Sciullo, A. Trotta, Federico Montori, L. Bononi, M. D. Felice
Digital Twins are crucial in Industry 4.0 IoT scenarios, as they replicate physical assets and enable important tasks such as predictive analytics, what-if scenarios and real time monitoring. The heterogeneity of IoT use cases usually makes the development of digital twins extremely application-specific as well as prone to interoperability issues. To overcome these two challenges, we propose WoTwins, a framework that, on one side, leverages the W3C Web of Things (WoT) standard to model data and entities, and, on the other side, generates automatically Digital Twins of existing Web Things by modeling their state space through a Markov Decision Process (MDP) graph and by predicting its behavior though Machine Learning techniques. We conduct experiments on a simulated use cases related to IoT robotics to evaluate our proposal.
数字孪生在工业4.0物联网场景中至关重要,因为它们可以复制物理资产并实现预测分析、假设场景和实时监控等重要任务。物联网用例的异质性通常使得数字孪生的开发非常特定于应用程序,并且容易出现互操作性问题。为了克服这两个挑战,我们提出了WoTwins,这是一个框架,一方面利用W3C物联网(WoT)标准对数据和实体进行建模,另一方面,通过马尔可夫决策过程(MDP)图对现有物联网的状态空间进行建模,并通过机器学习技术预测其行为,从而自动生成现有物联网的数字双胞胎。我们对与物联网机器人相关的模拟用例进行了实验,以评估我们的提案。
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引用次数: 3
WIP: Impact of AI/ML Model Adaptation on RAN Control Loop Response Time 在制品:AI/ML模型自适应对RAN控制回路响应时间的影响
Venkatarami Reddy Chintapalli, Venkateswarlu Gudepu, K. Kondepu, A. Sgambelluri, A. Franklin, T. B. Reddy, P. Castoldi, L. Valcarenghi
The advent of Open Radio Access Network (O-RAN) technology enables intelligent edge solutions for base stations in beyond 5G (B5G) networks. O-RAN Working Group 2 (WG2) focuses on the architecture and specifications of AI/ML workflows, allowing AI/ML applications in O-RAN environments to meet different QoS requirements for different use cases over varying time periods. This study shows the technical challenges in mapping AI/ML functionalities at Near-Real Time (RT) RAN Intelligence Controller (RIC) and/or Non-RT RIC for closed loop control-based resource adaptation in O-RAN. We also present a drift-based solution to avoid performance violations if there is decay in prediction accuracy. Results show that drift-based solution outperforms offline models.
开放无线接入网(O-RAN)技术的出现为超5G (B5G)网络中的基站提供了智能边缘解决方案。O-RAN工作组2 (WG2)专注于AI/ML工作流的架构和规范,允许O-RAN环境中的AI/ML应用程序在不同时间段内满足不同用例的不同QoS要求。该研究显示了在近实时(RT) RAN智能控制器(RIC)和/或非RT RIC上映射AI/ML功能以用于O-RAN中基于闭环控制的资源适应的技术挑战。我们还提出了一种基于漂移的解决方案,以避免在预测精度下降时出现性能违规。结果表明,基于漂移的解决方案优于离线模型。
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引用次数: 2
期刊
2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)
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