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Age of Information in Network Coded Multicast Networks 网络编码组播网络的信息时代
Pub Date : 2023-06-06 DOI: 10.1109/EuCNC/6GSummit58263.2023.10188326
Alper Köse, M. Koca, Emin Anarım
We consider the timeliness in delivery of update packets in a two-way relay network with or without employing network coding in multicast transmissions where Age of Information (AoI) is adopted to quantify the timeliness of updates. The expressions for peak and average expected AoIs are analytically derived for both uncoded and network coded transmissions. The effect of network coding on AoI and asymptotic behaviors of the AoI derivations are evaluated. The behavioral analyses of various network parameters are investigated and the effect of each parameter to the AoI difference between coded and uncoded has been derived. Our analysis suggests that the utilization of network coding for multicast transmissions can result in substantial improvements in terms of AoI, with the exception of scenarios in which sensors possess extremely limited computational capabilities.
在采用信息时代(AoI)来量化更新时效性的多播传输中,我们考虑了在双向中继网络中使用或不使用网络编码传递更新数据包的时效性。分析推导了非编码和网络编码传输的峰值和平均预期aoi表达式。讨论了网络编码对AoI的影响以及AoI导函数的渐近行为。研究了各种网络参数的行为分析,得出了各参数对编码和未编码AoI差异的影响。我们的分析表明,除了传感器具有极其有限的计算能力的情况外,利用网络编码进行多播传输可以显著改善AoI。
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引用次数: 0
Dynamic Resource Allocation for URLLC in UAV-Enabled Multi-access Edge Computing 无人机多接入边缘计算中URLLC动态资源分配
Pub Date : 2023-06-06 DOI: 10.1109/EuCNC/6GSummit58263.2023.10188346
Marcos Falcão, Caio Souza, Andson M. Balieiro, K. Dias
In the context of Ultra-reliable Low Latency communications (URLLC), the concepts of Multi-access Edge Computing (MEC), Network Function Virtualization (NFV), and Unmanned Aerial Vehicle (UAV) emerge as complementary paradigms that shall offer fine-grained on-demand distributed resources closer to the User Equipment (UE) and strong Line-of-Sight (LoS) paths between UAV and ground transmission nodes. However, compromise between onboard computation resource allocation and the URLLC requirements becomes challenging since UAVs are limited due to their size, weight, and power, and the virtualization adds extra overhead, which imposes a burden on the conventional Network Functions (NFs). This work proposes a NFV-MEC over UAV model based on Continuous-time Markov Chain (CTMC), with an embedded virtual resource scaling scheme for dynamic resource allocation (DRA). It also extensively analyzes the NFV-MEC architecture's virtualization layer, including node availability and power consumption, besides the URLLC conflicting reliability and latency metrics. The designed model allows analyzing how the main underlying virtualization parameters impact the critical services in a single NFV-MEC over a UAV node, assisting the network operator in proper node dimensioning and configuration.
在超可靠低延迟通信(URLLC)的背景下,多接入边缘计算(MEC)、网络功能虚拟化(NFV)和无人机(UAV)的概念作为互补的范式出现,它们将提供更接近用户设备(UE)的细粒度按需分布式资源,以及无人机与地面传输节点之间的强视距(LoS)路径。然而,机载计算资源分配和URLLC要求之间的折衷变得具有挑战性,因为无人机由于其尺寸,重量和功率而受到限制,并且虚拟化增加了额外的开销,这给传统的网络功能(NFs)带来了负担。本文提出了一种基于连续时间马尔可夫链(CTMC)的无人机NFV-MEC模型,该模型嵌入了用于动态资源分配(DRA)的虚拟资源缩放方案。它还广泛分析了NFV-MEC架构的虚拟化层,包括节点可用性和功耗,以及URLLC冲突的可靠性和延迟指标。设计的模型允许分析主要底层虚拟化参数如何影响无人机节点上单个NFV-MEC的关键服务,帮助网络运营商进行适当的节点尺寸和配置。
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引用次数: 0
Inferring Hidden Structure in Mobile Network Performance Data with Noisy Net Promoter Scores using a Probabilistic Graphical Model 用概率图模型推断带有噪声的净启动值的移动网络性能数据中的隐藏结构
Pub Date : 2023-06-06 DOI: 10.1109/EuCNC/6GSummit58263.2023.10188368
J. D. Toit, L. Labuschagne
Understanding customer satisfaction in the context of mobile network performance is helpful when designing reliable cellular networks to retain customers and drive customer loyalty. Using Infer.NET, we propose a probabilistic graphical model that infers hidden structure in network key performance indicators using noisy customer survey responses. Our model uses real-world net promoter score survey data, network session data consisting of sites visited by respondents, and network performance data from active sessions. The model learns hidden structure in the network performance data that represent good and bad quality of experience. The discovered properties are consistent with industry-recommended signal strength and quality levels for UMTS and LTE standards. Furthermore, our methodology allows us to estimate a daily network performance for each site, which helps to identify problem areas in the network. Due to the subjective nature of survey data, our model also estimates the overall asymmetric noise associated with the surveys.
在移动网络性能的背景下理解客户满意度有助于设计可靠的蜂窝网络来留住客户和提高客户忠诚度。使用推断。. NET中,我们提出了一个概率图形模型,该模型使用噪声客户调查响应来推断网络关键性能指标中的隐藏结构。我们的模型使用真实世界的净推荐值调查数据、由受访者访问的网站组成的网络会话数据以及来自活动会话的网络性能数据。该模型学习网络性能数据中代表体验质量好坏的隐藏结构。发现的特性符合业界推荐的UMTS和LTE标准的信号强度和质量水平。此外,我们的方法允许我们估计每个站点的日常网络性能,这有助于确定网络中的问题区域。由于调查数据的主观性质,我们的模型还估计了与调查相关的总体不对称噪声。
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引用次数: 0
Deep Learning-Supported Kriging for Interpolation of High-Resolution Indoor REMs 基于深度学习的高分辨率室内rem图像插值Kriging方法
Pub Date : 2023-06-06 DOI: 10.1109/EuCNC/6GSummit58263.2023.10188255
Friedrich Burmeister, Alexandros Palaios, Philipp Geuer, A. Krause, Richard Jacob, Philipp Schulz, G. Fettweis
In future communications systems, precise location information of users is a declared target. To improve the radio systems, spatial channel knowledge with the same local accuracy in form of precise Radio Environment Maps (REMs) is beneficial. Constructing REMs with channel measurements is not only costly but often not feasible for specific regions of interest. Consequently, it is necessary to construct REMs based on a limited number of observations. Kriging is typically used for interpolation in the literature. The solely distance-dependent semi-variogram inherently assumes an isotropic environment. However, radio environments, especially indoor, are not isotropic and modeling the directionality of the spatial correlation is not possible by means of a simple variogram function. That is why we propose to enhance the Kriging spatial interpolation by exchanging the semi-variogram model by a Deep Neural Network (DNN) to better describe the anisotropic channel correlations in real-world environments. Ordinary Kriging and our proposed approach are compared for different sampling resolutions and sampling methodologies, namely random and regular. Our proposed method improves the average accuracy and more importantly further increases the confidence in the provided predictions. Higher confidence in the prediction is a way to unlock the usage of such techniques for future communication networks.
在未来的通信系统中,用户的精确位置信息是一个明确的目标。为了改进无线电系统,以精确无线电环境图(REMs)的形式获得具有相同局部精度的空间信道知识是有益的。使用通道测量构建rem不仅成本高昂,而且对于感兴趣的特定区域通常也不可行。因此,有必要基于有限数量的观测来构建rem。克里格在文献中通常用于插值。完全距离相关的半变差函数固有地假设一个各向同性环境。然而,无线电环境,特别是室内,不是各向同性的,并且不可能通过简单的变差函数来模拟空间相关性的方向性。这就是为什么我们提出通过深度神经网络(DNN)交换半变异函数模型来增强Kriging空间插值,以更好地描述现实环境中的各向异性信道相关性。在不同的采样分辨率和采样方法(即随机和规则)下,比较了普通克里格和我们提出的方法。我们提出的方法提高了平均精度,更重要的是进一步提高了所提供预测的置信度。对预测的更高信心是解锁未来通信网络使用此类技术的一种方式。
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引用次数: 0
5G in the 3.8-4.2 GHz Band: Coexistence with Fixed Satellite Service Earth Stations In-Band and IMT-2020 in Adjacent Band 3.8-4.2 GHz频段5G:带内固定卫星业务地面站与邻带IMT-2020共存
Pub Date : 2023-06-06 DOI: 10.1109/EuCNC/6GSummit58263.2023.10188291
Theodoros Spathopoulos, Jianhua Liu, F. Chaves
This paper analyses the coexistence of low and medium power 5G Base Stations (BSs) operating in the 3.8-4.2 GHz to provide local area network connectivity with Fixed Satellite Service Earth stations in the same band as well as IMT-2020/SG services in the adjacent band below 3.8 GHz. This work follows the developments of the current regulatory discussion in Europe, providing an analysis of how different configurations for 5G BSs operating in the 3.8-4.2 GHz band, including Active Antenna System (AAS) BSs with increased radiated power and non-AAS BSs, can impact the resulting separation distances required to coexist with incumbent services. It is observed that AAS BSs operating with considerably higher power than non-AAS BSs lead to similar coexistence conditions.
本文分析了运行在3.8-4.2 GHz频段的低功率和中功率5G基站(BSs)共存,以提供与同一频段的固定卫星业务地面站的局域网连接以及3.8 GHz以下相邻频段的IMT-2020/SG业务。这项工作遵循了欧洲当前监管讨论的发展,分析了在3.8-4.2 GHz频段运行的5G BSs的不同配置,包括辐射功率增加的有源天线系统(AAS) BSs和非AAS BSs,如何影响与现有业务共存所需的分离距离。我们观察到,与非AAS BSs相比,AAS BSs工作在相当高的功率下会导致相似的共存条件。
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引用次数: 0
Digitalization in the Aquaculture Industry: Validation Trials over a Commercial 5G Network 水产养殖业的数字化:商用5G网络的验证试验
Pub Date : 2023-06-06 DOI: 10.1109/EuCNC/6GSummit58263.2023.10188310
Jane Frances Pajo, M. Haukø, R. Skaret-Thoresen, A. Gonzalez, P. Lehne, O. Grøndalen
The aquaculture industry has a goal of automating as much as possible to minimize cost and improve product quality. Cameras and environmental sensors are extensively used to monitor the fish farming sites, and generate huge amounts of data. 5G technology is seen as an enabler to further improve efficiency and digitize the fish farming industry. In this work, the combination of 5G, Device Edge, Cloud and Artificial Intelligence (AI) has been tested to evaluate the benefits and limitations of 5G technology in aquaculture. By emulating a typical Norwe-gian Atlantic salmon farm, remote monitoring, feeding decision support using AI for pellet detection, and 5G performance has been assessed. Peak uplink data rate is the most important key performance indicator, due to the large amount of data produced in the farm itself. To reduce the uplink requirements, a Device Edge has been deployed for running AI-driven pellet detection. Results show that operating full video coverage both underwater and for surveillance clearly exceeds the offered uplink data rate of a typical 5G base station operating in the C-band. Video compression can only be used to a mild extent, due to early deterioration of the pellet detection precision. Therefore, the use of a Device Edge to avoid uplink transmission of the video streams seems to be a better solution. Latency has not been critical in the scenario investigated, however introduction of remote control of cameras and feed provision might change this.
水产养殖业的目标是尽可能实现自动化,以最大限度地降低成本,提高产品质量。摄像机和环境传感器被广泛用于监测养鱼场,并产生大量数据。5G技术被视为进一步提高效率和数字化养鱼业的推动者。在这项工作中,对5G、设备边缘、云和人工智能(AI)的组合进行了测试,以评估5G技术在水产养殖中的优势和局限性。通过模拟典型的挪威大西洋鲑鱼养殖场,对远程监控、使用人工智能进行颗粒检测的喂养决策支持以及5G性能进行了评估。由于农场本身产生大量数据,峰值上行数据速率是最重要的关键性能指标。为了减少对上行链路的需求,我们部署了Device Edge来运行ai驱动的颗粒检测。结果表明,在水下和监控中运行的全视频覆盖明显超过了在c波段运行的典型5G基站提供的上行数据速率。由于颗粒检测精度的早期恶化,视频压缩只能在温和的程度上使用。因此,使用Device Edge来避免视频流的上行传输似乎是一个更好的解决方案。在所调查的场景中,延迟并不是关键问题,但是引入远程摄像机控制和馈送可能会改变这一点。
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引用次数: 0
Comparing 5G Network Latency Utilizing Native Security Algorithms 利用本地安全算法比较5G网络延迟
Pub Date : 2023-06-06 DOI: 10.1109/EuCNC/6GSummit58263.2023.10188309
Jacob Snyder, Lucas Hoffer, Bryan Martin, Darren Rogers, V. Kanth
While Fifth Generation (5G) wireless technology promises higher data throughput rates and reduced latency in comparison to previous generations of cellular communications, the addition of encryption between communicating nodes presents potential overhead costs to the system in terms of increased processing time, thereby leading to an increase in network latency. Given that modern Internet of Things (IoT) and Industry 4.0 5G use cases both require exceptional network speed coupled with security, the choice of security algorithms is a critical element. This paper offers a live 5G testbed setup and methodology to analyze measured round trip times between a user device and a 5G network-in-a-box using the four native 128-bit ciphering algorithms as specified by current Third Generation Partnership Project (3GPP) telecommunications standards. We perform these tests using the Amarisoft AMARI Callbox Mini, a 3GPP-compliant 5G network. Our initial findings show there is no statistically significant relationship between enabled ciphering algorithms and latency given one user device and the 5G network core within the Amarisoft 5G ecosystem, though our setup and methodology allow for expanding this research with multiple devices and longer experiment durations to understand how to best balance network latency and security requirements in a complex wireless network.
虽然与前几代蜂窝通信相比,第五代(5G)无线技术承诺更高的数据吞出率和更低的延迟,但在通信节点之间增加加密会增加系统的处理时间,从而导致网络延迟增加。考虑到现代物联网(IoT)和工业4.0 5G用例都需要卓越的网络速度和安全性,安全算法的选择是一个关键因素。本文提供了一个实时5G测试平台设置和方法,使用当前第三代合作伙伴计划(3GPP)电信标准指定的四种本地128位加密算法,分析用户设备和5G盒中网络之间测量的往返时间。我们使用符合3gpp标准的5G网络Amarisoft AMARI Callbox Mini进行这些测试。我们的初步研究结果表明,在给定一个用户设备和Amarisoft 5G生态系统中的5G网络核心的情况下,启用的加密算法和延迟之间没有统计学上的显著关系,尽管我们的设置和方法允许将这项研究扩展到多个设备和更长的实验持续时间,以了解如何在复杂的无线网络中最好地平衡网络延迟和安全要求。
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引用次数: 0
An Analysis with interplay of NOMA and RSMA for RIS-aided System ris辅助系统中NOMA和RSMA的相互作用分析
Pub Date : 2023-06-06 DOI: 10.1109/EuCNC/6GSummit58263.2023.10188305
Farjam Karim, N. Mahmood
Reconfigurable intelligent surface (RIS) has emerged as a potential technology for future-generation wireless communication by enhancing its signal quality and providing broader coverage network area. In this work, we provide an analytical framework of a RIS-assisted multi-user downlink system where the base station (BS) transmits a superimposed signal to multiple users with the aid of a RIS using non-orthogonal multiple access (NOMA) and rate splitting multiple access (RSMA) transmission technique. First, we discuss the statistical characteristics and evaluate the probability density function (PDF) of the different channels involved in the transmission. We then evaluate the system performance utilizing the PDF and obtain the analytical expressions of the outage probability through the application of NOMA and RSMA transmission techniques and verify the preciseness of the derived closed-form expressions using Monte-Carlo (MC) simulations. Moreover, to gain some useful insights about the system, we also highlight the impact of transmit power availability at the BS, imperfect channel state information (CSI) on the outage probability of each user, effect of number of RIS elements on outage probability. Lastly, we demonstrate the superiority of RSMA over NOMA on the performance of the system.
可重构智能表面(RIS)通过提高信号质量和提供更广泛的网络覆盖范围,成为未来无线通信的一种有潜力的技术。在这项工作中,我们提供了RIS辅助多用户下行系统的分析框架,其中基站(BS)借助RIS使用非正交多址(NOMA)和速率分割多址(RSMA)传输技术向多个用户传输叠加信号。首先,我们讨论了传输中不同信道的统计特征并评估了概率密度函数(PDF)。然后利用PDF对系统性能进行了评估,并通过应用NOMA和RSMA传输技术获得了中断概率的解析表达式,并通过蒙特卡罗(MC)仿真验证了推导出的封闭形式表达式的准确性。此外,为了获得有关系统的一些有用的见解,我们还强调了BS的发射功率可用性,不完全信道状态信息(CSI)对每个用户的中断概率的影响,RIS元素数量对中断概率的影响。最后,我们证明了RSMA相对于NOMA在系统性能上的优越性。
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引用次数: 0
The Extended Vienna System-Level Simulator for Reconfigurable Intelligent Surfaces 可重构智能表面的扩展维也纳系统级模拟器
Pub Date : 2023-06-06 DOI: 10.1109/EuCNC/6GSummit58263.2023.10188354
Le Hao, Stefan Schwarz, M. Rupp
Reconfigurable intelligent surfaces (RISs) have been considered a promising research direction for the next generation of wireless communications. It is essential to perform extensive simulations in a system-level simulator (SLS) to analyze the system performance of RIS-assisted large-scale wireless networks. This paper introduces the RIS-tailored Vienna SLS that utilizes the MATLAB ray tracer to realize RIS-assisted transmissions. A recently published free space pathloss model for RIS (RISFSPL) has been adopted to be compatible with our SLS. In addition, we modified the ray tracing (RT) model based on the RISFSPL model to obtain a more precise pathloss in a realistic environment. In this way, we realize the advantages of both the RISFSPL and RT models. We verified the system performance through simulations in a single-input single-output (SISO) scenario with random and optimized RIS phase shifts. Furthermore, we analyzed the system performance through simulations in a complex scenario that consists of multiple base stations (BSs), RISs, and users.
可重构智能表面(RISs)被认为是下一代无线通信的一个有前途的研究方向。在系统级模拟器(SLS)中进行大量的仿真是分析ris辅助的大规模无线网络系统性能的必要条件。本文介绍了利用MATLAB射线追踪器实现ris辅助传输的专为ris设计的Vienna SLS。最近发表的RIS自由空间路径损失模型(RISFSPL)已被采用以兼容我们的SLS。此外,我们在RISFSPL模型的基础上对射线追踪(RT)模型进行了修正,以获得更精确的真实环境下的路径损失。通过这种方式,我们实现了RISFSPL和RT模型的优点。我们通过在随机和优化的RIS相移的单输入单输出(SISO)场景下的模拟验证了系统的性能。此外,我们通过在由多个基站(BSs)、RISs和用户组成的复杂场景中进行模拟,分析了系统性能。
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引用次数: 0
Post-Quantum QUIC Protocol in Cloud Networking 云网络中的后量子QUIC协议
Pub Date : 2023-06-06 DOI: 10.1109/EuCNC/6GSummit58263.2023.10188358
Manohar Raavi, Simeon Wuthier, Xiaobo Zhou, Sang-Yoon Chang
Post-quantum ciphers (PQC) secure the digital networking of the current computers against a quantum-computing-equipped adversary. The National Institute of Standards and Technology (NIST) selected post-quantum digital signature algorithms for standardization. To prepare for the transition to PQC, we study the feasibility of integrating the NIST-standardized PQC digital signatures into the existing networking protocols, which include TCP/TLS and the more advanced QUIC. We study the behavior and performances of implementing PQC signatures for HTTP networking built on TCP/TLS and QUIC. Our experiment-based studies use remote cloud servers across the globe to simulate and measure the real-world networking behaviors. Focusing on the post-quantum lattice-based ciphers of Dilithium and Falcon, our results show that QUIC generally outperforms TCP/TLS (by 52% with RSA, 2.5% or greater with Dilithium algorithms, and 32.8 % or greater with Falcon algorithms). Based on the QUIC performances and the protocol handshake duration overhead between the client and the cloud server, we recommend Falcon for the QUIC-based networking applications for quicker handshake and less variance if the devices can afford the hardware for floating-point-based operations.
后量子密码(PQC)保护当前计算机的数字网络免受量子计算对手的攻击。美国国家标准与技术研究所(NIST)选择了后量子数字签名算法进行标准化。为了准备向PQC过渡,我们研究了将nist标准化的PQC数字签名集成到现有网络协议(包括TCP/TLS和更先进的QUIC)中的可行性。研究了基于TCP/TLS和QUIC的HTTP网络中实现PQC签名的行为和性能。我们基于实验的研究使用全球的远程云服务器来模拟和测量现实世界的网络行为。通过研究Dilithium和Falcon的后量子格密码,我们的结果表明QUIC通常优于TCP/TLS(使用RSA算法优于52%,使用Dilithium算法优于2.5%或更高,使用Falcon算法优于32.8%或更高)。基于QUIC性能和客户端和云服务器之间的协议握手持续时间开销,如果设备能够负担得起基于浮点数的操作的硬件,我们建议将Falcon用于基于QUIC的网络应用程序,以实现更快的握手和更少的变化。
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引用次数: 0
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