Development of a Data-Driven Mobile 5G Testbed: Platform for Experimental Research

Wang, Ying; Górski, Adam; Silva, Aloizio Pereira da

doi:10.1109/meditcom49071.2021.9647461

Cited by 20 publications

(9 citation statements)

References 14 publications

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“…This distributed architecture improves the coverage by reducing the signal attenuation and overcoming obstacles such as buildings or terrain. In obtaining the results illustrated in Figure 18, we considered 10 eVTOLs randomly distributed in the space, with their location coordinates generated randomly such that X e was uniformly distributed in the range [−50, 50] meters, Y e was uniformly distributed in [−50, 50] meters, and Z e was uniformly distributed in [10,50] meters. The coordinates of the SRU were set to (0, 0, 0).…”

Section: Resultsmentioning

confidence: 99%

“…The following important channel models, based on the 3GPP, standards are illustrated in Table 1. Further, in addition to the enhancement of performance brought by the accuracy in channel modeling, some research has further used channel model and key performance indicators (KPIs) obtained from outdoor experiments for UAV positioning [10], which have significant impacts on UAV applications in critical verticals. Recently, a comprehensive analysis on low latency UAV communication was documented [11].…”

Section: Background and Motivationmentioning

confidence: 99%

“…6.4) and [23] (eq. 11) and applying some mathematical manipulations, the integral in (10) can readily be obtained in a form given by the following: (A1)…”

Section: Data Availability Statementmentioning

confidence: 99%

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Characterization of Low-Latency Next-Generation eVTOL Communications: From Channel Modeling to Performance Evaluation

Mak,

Arya,

Wang

et al. 2023

Electronics

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Next-generation wireless communication networks are expected to offer extremely high data rates supported by very low latency and radically new applications, which require a new wireless radio technology paradigm. However, it is crucial to assist the radio link over the fast varying and highly dynamic channel to satisfy the diverse requirements of next-generation wireless networks. Recently, communication via autonomous electric vertical takeoff and landing (eVTOL) has gained momentum, owing to its potential for cost-effective network deployment. It is considered one of the most promising technologies conceived to support smart radio terminals. However, to provide efficient and reliable communications between ground base stations and eVTOLs as well as between eVTOLs and other eVTOLs, realistic eVTOL channel models are indispensable. In this paper, we propose a nonstationary geometry-based stochastic channel model for eVTOL communication links. The proposed eVTOL channel model framework considers time-domain nonstationarity and arbitrary eVTOL trajectory and is sufficiently general to support versatile C bands. One of the critical challenges for eVTOL is the fast vertical takeoff and landing flight patterns affecting the regular propagation communication channel. Moreover, we present a new method for estimating the SNR over the non-stationary fast dynamic time-variant eVTOL channel by utilizing the sliding window adaptive filtering technique. Furthermore, we present an information–theoretic approach to characterize the end-to-end transmission delay over the eVTOL channel and prove that the optimal transmission scheme strongly depends upon the eVTOL link configuration. In addition, to analyze the occurrence of deep fade regions in eVTOL links, we analyze the outage probability, which is an important performance metric for wireless channels operating over dynamic fading channels, and make an important observation that the outage probability increases non-linearly with the eVTOL height. Furthermore, we consider the commercially available eVTOL specifications and data to validate the channel model and analyze the Doppler shift and latency for the exponential acceleration and exponential deceleration velocities profiles during the takeoff and landing operation. This paper provides a new and practical approach for the design, optimization, and performance evaluation of future eVTOL-assisted next-generation wireless communications.

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Section: Resultsmentioning

confidence: 99%

Section: Background and Motivationmentioning

confidence: 99%

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Characterization of Low-Latency Next-Generation eVTOL Communications: From Channel Modeling to Performance Evaluation

Mak,

Arya,

Wang

et al. 2023

Electronics

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“…Em [14], os autores introduzem ferramentas do sistema O-RAN em conjunto com o Colosseum, um emulador de canal sem fio baseado em Software Defined Radio (SDR) com suporte a Long Term Evolution (LTE). Em [2], os autores constroem uma plataforma experimental em conformidade com a O-RAN através da interface E2 e O2 que permite conectividade entre o sistema em teste e a infraestrutura 5G, baseada em uma combinação de uso de licença e infraestrutura de código aberto.…”

Section: Plataformas De Experimentação De Código Aberto Para 5g E O-ranunclassified

“…Com a introdução do conceito O-RAN, que é executado principalmente em servidores white box, a facilidade provida pelas plataformas experimentais de código aberto pode permitir uma maior facilidade no desenvolvimento de redes orientadas por dados, inteligentes, programáveis e virtualizadas. Entretanto, ainda há muitos desafios a serem tratados nesses ambientes experimentais [2,3], dado que a maioria das plataformas disponíveis ainda apresenta várias limitações para a comunidade de pesquisa.…”

Section: Introductionunclassified

Uma Análise do Open RAN e os Desafios da sua Experimentação em Plataformas de Código Aberto

Solis¹,

Ferreira²,

Junior³

et al. 2022

Anais Do XL Simpósio Brasileiro De Telecomunicações E Processamento De Sinais

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Resumo-A arquitetura Open RAN (O-RAN) e as especificações da O-RAN Alliance têm o potencial de promover Redes de Acesso via Rádio, ou Radio Access Networks (RANs) em inglês, virtualizadas e desagregadas, conectadas por meio de interfaces não-proprietárias e otimizadas por controladores inteligentes. Entender a arquitetura, interfaces e fluxo de trabalho da O-RAN é fundamental para o futuro do ecossistema de telecomunicações. A evolução da O-RAN enfrenta o desafio de ter disponíveis plataformas experimentais para avaliar pilhas de protocolos programáveis e virtualizadas com interfaces não-proprietárias em conjunto com a otimização da RAN dentro da arquitetura 5G e posteriores. Neste artigo, apresentamos um estudo da O-RAN e discutimos os principais desafios nas plataformas de código aberto de pesquisa experimentais que podem ser usadas para projetar e avaliar as suas propostas. O artigo conclui com a identificação dos componentes de código aberto mais promissores, com base nas suas funcionalidades atuais.

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DEFT: A Novel Deep Framework for Fuzz Testing Performance Evaluation in NextG Vulnerability Detection

Peng,

Li,

Arya

et al. 2023

IEEE Access

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As the evolution of telecommunication technology advances rapidly, the next-generation networks have undeniably become integral components of modern society. However, given the vast infrastructure requirement for their deployment and the intricacy of their protocols, they inevitably present considerable security challenges. Recently, fuzz testing has emerged as a prominent method of system assurance, gaining substantial traction in the realms of 5G vulnerability detection and performance assessment. It can test and exploit 5G networks to detect invalid integrity protection and security procedure bypasses. The fuzzed system behaviors contain information that could indicate the system's health and potential vulnerabilities. This paper proposes a novel modeling framework, coined as DEFT, to perform causation analysis in the system under test (SUT) in detecting the fuzzed location, therefore, DEFT can be further applied to identifying the type of attacks or abnormal inputs from the partial system profiling for the impacted behaviors. In particular, we show, for the first time, that by utilizing the DEFT, we can precisely detect the fuzzed layer in the log file which can then be further utilized to identify the root cause of vulnerabilities with high accuracy using only a tiny segment of the log file in real-time. To test the DEFT for real-world application scenarios, we generate an unbiased dataset by performing fuzz testing to trigger potential vulnerabilities and unintended behaviors on our 5G test bed and recording the system behaviors via regular logging information. We then analyze a random segment of the log files to detect the root cause of the vulnerabilities via the processing of the word embedding vectors that are enabled by two architectures, Skipgram and continuous bag-of-words (CBOW), learning the underlying word representations for each word using neural networks. The DEFT can effectively identify the fuzzed location and thereby the occurrence of unknown attacks, therefore, can be considered a crucial step in performing a timely attack response and the root cause analysis. We assess multiple machine learning models integrated with the two architectures by the input segment length of log files, computation complexity, and accuracy matrix. It is shown that, for the Skip-gram, an area under the curve (AUC) value of 0.938 is achieved for the Fully Connected Network (FCN) model while considering only 50% length of the original log file, thereby significantly reducing the computational complexity. By eliminating the necessity for a 100% comprehensive log file and instead utilizing a 50% log file, we have effectuated an 8% decrease in testing duration. We make an important observation that, compared with CBOW, Skip-gram shows superior performance when only a smaller fraction of the log file is considered for vulnerability detection, thereby, can readily be applied to real-time 5G applications. Our results provide a valuable direction in vulnerability detection and enable timely attack response.

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Development of a Data-Driven Mobile 5G Testbed: Platform for Experimental Research

Cited by 20 publications

References 14 publications

Characterization of Low-Latency Next-Generation eVTOL Communications: From Channel Modeling to Performance Evaluation

Characterization of Low-Latency Next-Generation eVTOL Communications: From Channel Modeling to Performance Evaluation

Uma Análise do Open RAN e os Desafios da sua Experimentação em Plataformas de Código Aberto

DEFT: A Novel Deep Framework for Fuzz Testing Performance Evaluation in NextG Vulnerability Detection

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