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2022 IEEE Future Networks World Forum (FNWF)最新文献

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On the Exact Performance of IRS-Assisted Communications Under Random and Coherent Phase Shifts Over $kappa-mu$ Fading Channels 在$kappa-mu$衰落信道上随机相移和相干相移下irs辅助通信的精确性能
Pub Date : 2022-10-01 DOI: 10.1109/FNWF55208.2022.00093
G. R. Tejerina, L. Mendes, R. A. Souza
Intelligent reflective surfaces (IRS) are considered major enabling technologies for the sixth-generation (6G) of cellular networks. Since its conception, a handful of research has been conducted to characterize this new channel over different fading models. Therefore, we here investigate the effects of $kappa-mu$ fading in IRS-empowered systems subjected to coherent and random phase shifts. To this end, we propose new exact and mathematically tractable expressions for the signal-to-noise ratio probability density function and cumulative distribution function of the referred system. These new formulations enabled the analysis of the exact outage and coverage probability and average bit error rate. Analytical results were confronted with Monte Carlo simulations, which indicated great adherence to the proposed schemes. Finally, we investigate the system performance over coherent and random phase schemes and the impact of the carrier frequency, the number of reflecting elements, and the distance between the IRS and the user.
智能反射表面(IRS)被认为是第六代(6G)蜂窝网络的主要使能技术。自其概念以来,已经进行了一些研究,以在不同的衰落模型上表征这种新信道。因此,我们在这里研究$kappa-mu$衰落在irs授权系统中受到相干和随机相移的影响。为此,我们提出了新的精确和数学上易于处理的信噪比概率密度函数和累积分布函数的表达式。这些新公式能够准确分析中断和覆盖概率以及平均误码率。分析结果与蒙特卡罗模拟结果进行了比较,结果表明所提出的方案非常符合。最后,我们研究了系统在相干相位和随机相位方案下的性能,以及载波频率、反射元件数量和IRS与用户之间距离的影响。
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引用次数: 0
Vertical-oriented 5G platform-as-a-service: user-generated content case study 垂直导向的5G平台即服务:用户生成内容案例研究
Pub Date : 2022-10-01 DOI: 10.1109/FNWF55208.2022.00129
Sarang Kahvazadeh, H. Khalili, Rasoul Nikbakht Silab, Bahador Bakhshi, J. Mangues‐Bafalluy
5G realizes an impactful convergence, where Network Functions Virtualization (NFV) and cloud-native models become fundamental for profiting from the unprecedented capacity offered at the 5G Radio Access Network (RAN). For providing scalability and automation management over resources in 5G infrastructure, cloud-native and Platform as a service (PaaS) are proposed as solutions for paving the way for vertical applications in 5G. This paper leverages cloud-native models, PaaS, and virtual testbed instances to provide key platform provisioning and service life-cycle management features to a selected User Generated Content (UGC) scenario in multimedia applications. Specifically, this article and results show how service-level telemetry from a UGC cloud-native application is used to automatically scale system resources across the NFV infrastructure.
5G实现了有影响力的融合,其中网络功能虚拟化(NFV)和云原生模型成为从5G无线接入网(RAN)提供的前所未有的容量中获利的基础。为了在5G基础设施中提供对资源的可扩展性和自动化管理,提出了云原生和平台即服务(PaaS)作为解决方案,为5G的垂直应用铺平道路。本文利用云原生模型、PaaS和虚拟测试平台实例,为多媒体应用程序中选定的用户生成内容(UGC)场景提供关键的平台配置和服务生命周期管理功能。具体来说,本文和结果展示了如何使用来自UGC云原生应用程序的服务级遥测技术在NFV基础设施中自动扩展系统资源。
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引用次数: 3
Business Case Evaluation of Cooperative, Connected and Automated Mobility Service Provision in cross-border settings[INVITED PAPER – Project 5G-CARMEN] 跨境环境下协同、互联和自动化移动服务提供的商业案例评估[特邀论文-项目5G-CARMEN]
Pub Date : 2022-10-01 DOI: 10.1109/FNWF55208.2022.00044
Asma Chiha, Thibault Degrande, S. Verbrugge, D. Colle, G. Avdikos, W. Aigner, Benoît Denis, D. García-Roger
In this paper, we present a techno-economic analysis of providing a Cooperative, Connected and Automated Mobility (CCAM) use case, namely Cooperative Lane Merging (CLM), in a cross-border environment. Multiple network deployment scenarios are proposed to provide Vehicle to Infrastructure (V2I) connectivity with respect to PC5 Mode 4 – enabled RSUs. Total cost of Ownership (TCO) model together with four revenue models are developed to assess the viability of providing CCAM services in the studied settings. Results show that the higher the number of simultaneous connected cars, the higher the TCO of the required deployment needs to be to meet the defined KPIs and especially for the green field deployment with no existing fibre cable or electricity facilities. Another important insight from this analysis is that only with a high fleet penetration rate of connected vehicles, a viable business case can be achieved.
在本文中,我们提出了在跨境环境中提供合作,连接和自动移动(CCAM)用例的技术经济分析,即合作车道合并(CLM)。提出了多种网络部署方案,以提供与PC5 Mode 4启用的rsu相关的车辆到基础设施(V2I)连接。开发了总拥有成本(TCO)模型和四个收入模型,以评估在研究环境中提供CCAM服务的可行性。结果表明,同时联网汽车的数量越多,所需部署的TCO就越高,以满足定义的kpi,特别是对于没有现有光纤电缆或电力设施的绿地部署。该分析的另一个重要见解是,只有联网汽车的车队普及率高,才能实现可行的商业案例。
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引用次数: 0
Providing Continuous 5G Connectivity along Ferry Lines – Concepts and Trials of 5G-ROUTES Project (Invited paper) 在渡轮航线上提供持续的5G连接- 5G路线项目的概念和试验(邀请文件)
Pub Date : 2022-10-01 DOI: 10.1109/FNWF55208.2022.00105
H. Zaglauer, Arturs Lindenbergs, M. Lankinen, K. Kaare, Kristjan Kuhi, Miquel Payaró
The 5G-ROUTES project is part of the European effort to validate, test and pre-deploy 5G connectivity along major transport corridors with a focus on cross-border segments. It addresses Connected and Automated Mobility applications along the ‘Via Baltica North’ traversing Finland, Estonia, and Latvia and, also, 5G connectivity across the Baltic Sea between Finland and Estonia. The signal strength of coastal base stations both in the 700 MHz and 3.5 GHz frequency was measured along the ferry route between the ports of Helsinki/Vuosaari in Finland and Tallinn/Muuga in Estonia. Even though the 5G signals could be detected much further away from the coast than expected, there remains a gap in coverage that needs to be closed to provide continuous 5G connectivity of sufficient bandwidth. The installation of communication infrastructure along water ways is challenging and impossible in some areas, therefore the 5G-ROUTES project has investigated innovative approaches such as various multi-hop concepts and the use of satellites. In the planned trial phase, selected solutions shall be field tested and demonstrated to evaluate their suitability, technical maturity and performance. The obtained results of the 5G-ROUTES ferry trials will be applicable also to much longer ferry routes and can be transferred to road and rail transport in very remote areas where deployment of suitable 5G infrastructure may be technologically challenging and costly.
5G- routes项目是欧洲在主要交通走廊上验证、测试和预部署5G连接的努力的一部分,重点是跨境路段。它解决了穿越芬兰、爱沙尼亚和拉脱维亚的“Via Baltica North”沿线的互联和自动化移动应用,以及芬兰和爱沙尼亚之间横跨波罗的海的5G连接。沿芬兰赫尔辛基/武萨里港和爱沙尼亚塔林/穆加港之间的轮渡路线测量了700兆赫和3.5千兆赫频率沿海基站的信号强度。尽管5G信号可以在离海岸远得多的地方被检测到,但为了提供足够带宽的连续5G连接,仍然需要缩小覆盖范围的差距。在一些地区,沿水路安装通信基础设施是具有挑战性的,甚至是不可能的,因此5G-ROUTES项目研究了各种多跳概念和卫星使用等创新方法。在计划的试验阶段,应对选定的解决方案进行现场测试和论证,以评估其适用性、技术成熟度和性能。5G- routes轮渡试验获得的结果也将适用于更长的轮渡航线,并可转移到非常偏远地区的公路和铁路运输,在这些地区,部署合适的5G基础设施可能在技术上具有挑战性且成本高昂。
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引用次数: 0
Hybrid Deep Learning for Channel Estimation and Power Allocation for MISO-NOMA System 基于混合深度学习的MISO-NOMA系统信道估计与功率分配
Pub Date : 2022-10-01 DOI: 10.1109/FNWF55208.2022.00070
Mohamed Gaballa, M. Abbod, Sadeq Alnasur
In this paper, the influence of Deep Neural Network (DNN) in predicting both the channel parameters and the power factors for users in a Power Domain Multi-Input Single-Output Non-Orthogonal Multiple Access (MISO-NOMA) system is inspected. In channel prediction based Deep Learning (DL) approach, we integrate the Long Short Term Memory (LSTM) learning network into NOMA system in order that LSTM can be utilized to predict the channel coefficients. In addition, in Deep Learning based power estimation method, we introduce an algorithm based on Convolutional Neural Network (CNN) to predict and allocate the power factor for each user in MISO-NOMA cell. DNN is trained online using channel statistics in order to approximate the channel coefficients and allocate the power factors for each user, so that these parameters can be utilized by the receiver to recover the desired data. Besides, this paper demonstrates the framework where channel prediction based on LSTM layer and power approximation based on CNN can be jointly employed for multiuser detection in MISO-NOMA. In this work, Power factors are optimized analytically based on maximizing the sum-rate of users to derive the optimum power factors. Simulation outcomes for distinct metrics have verified the dominance of the channel estimation and power predication based DNN over standard approaches.
本文研究了深度神经网络(DNN)对功率域多输入单输出非正交多址(MISO-NOMA)系统中信道参数和用户功率因数预测的影响。在基于信道预测的深度学习(DL)方法中,我们将长短期记忆(LSTM)学习网络集成到NOMA系统中,以便利用LSTM来预测信道系数。此外,在基于深度学习的功率估计方法中,我们引入了一种基于卷积神经网络(CNN)的算法来预测和分配MISO-NOMA小区中每个用户的功率因数。DNN使用信道统计在线训练,以便近似信道系数并为每个用户分配功率因子,以便接收器可以利用这些参数恢复所需的数据。此外,本文还展示了将基于LSTM层的信道预测与基于CNN的功率近似联合用于MISO-NOMA多用户检测的框架。在此工作中,基于最大化用户和率的分析优化功率因数,得出最优功率因数。不同指标的仿真结果验证了基于深度神经网络的信道估计和功率预测优于标准方法。
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引用次数: 1
Drivers for Organic 6G Networking 有机6G网络的驱动因素
Pub Date : 2022-10-01 DOI: 10.1109/FNWF55208.2022.00058
M. Corici, Fabian Eichhorn, V. Gowtham, T. Magedanz
Beyond 5G and 6G mobile network research gained a lot of traction in recent years. The German Open6GHub project funded by the German Federal Ministry of Education and Research (BMBF) is a recent project working on researching and developing technologies towards 6G networks. This article presents the Open6GHub view on the requirements and approaches of the networks of 2030 and beyond. At this early stage, we have the opportunity to investigate more fundamental changes within the system architecture of mobile networks. This article presents the architectural concept of Organic Networks and how it can drive the evolution of mobile networks towards a more adaptable, efficient, and resource and requirements oriented network. The Open6GHub consortium is one of the principal investigators and drivers behind the Organic Network concept.
近年来,超5G和6G移动网络的研究获得了很大的关注。由德国联邦教育和研究部(BMBF)资助的德国Open6GHub项目是一个致力于研究和开发6G网络技术的最新项目。本文介绍了Open6GHub对2030年及以后网络需求和方法的看法。在这个早期阶段,我们有机会调查移动网络系统架构中更根本的变化。本文介绍了有机网络的架构概念,以及它如何推动移动网络向适应性更强、效率更高、面向资源和需求的网络发展。Open6GHub联盟是有机网络概念背后的主要研究者和推动者之一。
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引用次数: 1
Autonomic/Autonomous Networking (AN): Federations & Governance of ANs, Progress & Open Challenges in Standards: Analysis Report 自治/自治网络(AN): AN的联盟和治理,标准中的进展和开放挑战:分析报告
Pub Date : 2022-10-01 DOI: 10.1109/FNWF55208.2022.00039
R. Chaparadza, Muslim Elkotob, Benoit Radier, T. B. Meriem, Eman M. Hammad, T. Choi
Future Networks, Beyond 5G and 6G, will continue to expand in scale, complexity and interconnectivity, and will be highly shaped by distributed systems that serve various use cases that go beyond current Use Cases like mMTC (massive Machine Type Communications) and URLLC (Ultra Reliable Low Latency Communications). This will be coupled with an increasing demand for autonomy in self-organization and self-management, automation and interoperability on a very dynamic flexible basis. Systems-of-systems architectures will become more relevant as multiple autonomous/semi-autonomous systems adaptively seek to operate and interact with their peers (including in the advent of so-called “symbiotic autonomous systems”). Research on autonomous systems and autonomic networks recognizes the benefits to making autonomic/autonomous systems interact with each other when needed and should explore frameworks that will enable this dynamic interactivity under the emerging concept of Federation of Autonomic/Autonomous networks (ANs). Autonomy and Degree of Autonomy in ANs should be subjected to “governance by humans” through their exposure of Governance Interfaces to make sure ANs solely serve purposes that humans expect of them and not negatively impact environment and society. The use of Federation and in some cases Governance interfaces and mechanisms is a promising technology for interconnecting systems, enabling innovation and service delivery by the federating AN systems; and allowing asset sharing and extending traditional eco-systems and value-chains with further resources and stakeholders (including new ones that were never involved in the traditional ICT ecosystems but should now be involved in 5G and 6G ecosystems). The paper provides an analysis of the aspects of relevance to the broader picture of ANs in standardization efforts, multi-layer autonomic systems design and operational principles, federation and governance of ANs, progress and open challenges in standards, so as to provide contributions on what needs to be complemented to ongoing efforts in standardization groups. This paper also serves to give an analysis of progress in key topics of the IEEE workshop held on this subject (of which the paper contributed).
未来的网络,超越5G和6G,将继续扩大规模,复杂性和互联性,并将受到分布式系统的高度影响,这些系统将服务于各种用例,超越当前的用例,如mMTC(大规模机器类型通信)和URLLC(超可靠低延迟通信)。与此同时,在非常动态灵活的基础上,对自组织和自我管理、自动化和互操作性的自主性的需求也在不断增加。随着多个自治/半自治系统自适应地寻求与同行操作和交互(包括所谓的“共生自治系统”的出现),系统的系统架构将变得更加相关。对自治系统和自治网络的研究认识到在需要时使自治/自治系统相互作用的好处,并且应该探索能够在自治/自治网络联盟(ANs)的新兴概念下实现这种动态交互的框架。人工智能的自治和自治程度应该通过其治理接口的暴露而受到“人类的治理”,以确保人工智能只服务于人类期望它们的目的,而不会对环境和社会产生负面影响。使用联合(在某些情况下是治理)接口和机制是一种很有前途的技术,用于连接系统,从而实现联合AN系统的创新和服务交付;允许资产共享,并通过更多资源和利益相关者(包括从未参与传统ICT生态系统但现在应该参与5G和6G生态系统的新参与者)扩展传统生态系统和价值链。本文分析了标准化工作中与网络安全相关的更广泛的方面,多层自治系统设计和操作原则,网络安全的联邦和治理,标准的进展和公开挑战,以便为标准化小组正在进行的工作提供补充。本文还分析了关于该主题的IEEE研讨会的关键主题的进展情况(本文也参与了该研讨会)。
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引用次数: 0
The 5G-IANA platform: Bringing far-edge resources and ML potential to the disposal of automotive third parties 5G-IANA平台:为汽车第三方的处置带来远端资源和机器学习潜力
Pub Date : 2022-10-01 DOI: 10.1109/FNWF55208.2022.00118
F. Moscatelli, Thanos Xirofotos, Amr Rizk, Nehal Baganal-Krishna, E. Bonetto, Eirini Liotou, A. Amditis
The advent of 5G has been a game-changer in the Automotive Vertical sector. 5G acts as an enabler of advanced networking architectures which, in turn, allow the development of novel services, by attracting and engaging third parties to experiment using available 5G infrastructure and connectivity. 5G-IANA is a Horizon 2020 ICT-41 project that targets to create such an advanced open experimentation platform, bringing powerful novelty to third parties through the integration and provisioning of far-edge resources for network orchestration purposes, and through the offering of Machine Learning knowledge as an add-on service to them. The scope of this paper is, therefore, to present the 5G-IANA project overall goals, by emphasizing the most important expected innovations from the project regarding far-edge resources' orchestration and ML as a service provisioning.
5G的出现改变了汽车垂直行业的游戏规则。5G作为先进网络架构的推动者,反过来,通过吸引和吸引第三方使用可用的5G基础设施和连接进行实验,允许开发新颖的服务。5G-IANA是一个地平线2020 ICT-41项目,旨在创建这样一个先进的开放实验平台,通过为网络编排目的集成和提供远端资源,并通过向第三方提供机器学习知识作为附加服务,为第三方带来强大的新颖性。因此,本文的范围是通过强调该项目在远端资源编排和机器学习作为服务提供方面最重要的预期创新,来展示5G-IANA项目的总体目标。
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引用次数: 1
5GCroCo: Key 5G technologies and trial results for seamless cross-border CAM services (Invited Paper) 5G croco:无缝跨境CAM服务的5G关键技术及试验成果(特邀论文)
Pub Date : 2022-10-01 DOI: 10.1109/FNWF55208.2022.00013
Selva Via, Miquel Payaró, Kurt Eckert, Maciej Mühleisen, Stefan Wendt, Edwin Fischer, D. Hetzer, A. Kousaridas
The 5GCroCo project conducted large-scale trials of 5G technologies for Connected and Automated Mobility (CAM) in two road corridors along the border areas in France-Germany and Luxembourg-Germany. In this context, this paper provides a succinct description of a subset of the key 5G technologies that have been trialed and highlights representative experimental results that have been obtained for three CAM use cases with a clear focus of achieving seamless service continuity along cross-border and showing the benefits of 5G in comparison to 4G. The trial results provide an experimental validation of the feasibility of the technical solutions proposed, developed, and used in the project.
5G croco项目在法国-德国和卢森堡-德国边境地区的两条道路走廊上进行了5G互联和自动移动(CAM)技术的大规模试验。在此背景下,本文简要描述了已进行试验的关键5G技术子集,并重点介绍了在三个CAM用例中获得的代表性实验结果,其明确的重点是实现跨界无缝服务连续性,并展示了5G与4G相比的优势。试验结果为该项目提出、开发和使用的技术解决方案的可行性提供了实验验证。
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引用次数: 0
5G Festival - Re-inventing live collaborative performances 5G节-重新发明现场协作表演
Pub Date : 2022-10-01 DOI: 10.1109/FNWF55208.2022.00010
K. Katsaros, D. Kaleshi, Anthony Karydis, Luke Kazanis, Kane Rawnsley-Odd, Neil Hooper, Pete Fletcher
The 5G Festival is the world's first live immersive hybrid concert, creating an exciting new business model for music professionals, live venues and artists. Exploiting the benefits of 5G technology, such as enhanced mobile broadband and low latency, artists were able to collaborate remotely, from venues 60 miles apart, while audience were able to experience a live event with enhanced immersive experiences. Artists listening to immersive audio were more tolerant to the affects of latency when compared to stereo, which allows for an increase in the distance achievable between the collaborators. During the live performance more than 200 audio channels and 20 video streams were transferred through the three interconnected venues, providing a professional experience to artists and audience alike. This was possible through intelligent network management and use of multicast audio over IP (AoIP) protocols such as AES67/ST2110-30. Finally, a service platform was developed and optimised in relation to latency over the 5G networks resulting in a near ‘real-time’ user experience including additional features such as bit rate optimisation and automatic network reconnection to improve stability and expandable interfaces for live mixing and visual projections.
5G音乐节是全球首个现场沉浸式混合音乐会,为音乐专业人士、现场场地和艺术家创造了令人兴奋的新商业模式。利用5G技术的优势,如增强的移动宽带和低延迟,艺术家们能够在相隔60英里的场地进行远程协作,而观众则能够以增强的沉浸式体验体验现场活动。与立体声相比,美工听沉浸式音频更能忍受延迟的影响,这可以增加合作者之间的距离。在现场演出中,超过200个音频通道和20个视频流通过三个相互连接的场地传输,为艺术家和观众提供了专业的体验。这可以通过智能网络管理和使用多播音频IP (AoIP)协议(如AES67/ST2110-30)来实现。最后,针对5G网络上的延迟,开发和优化了一个服务平台,从而实现了近乎“实时”的用户体验,包括比特率优化和自动网络重新连接等附加功能,以提高稳定性和可扩展的界面,用于现场混音和视觉投影。
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引用次数: 0
期刊
2022 IEEE Future Networks World Forum (FNWF)
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