5G-RANGE: A transceiver for remote areas based on software-defined radio

Dias, Wheberth; Ferreira, Alexandre Carvalho; Kagami, Roberto; Ferreira, Juliano Silveira; Silva, Daniely; Mendes, Luciano Leonel

doi:10.1109/eucnc48522.2020.9200925

Cited by 11 publications

(15 citation statements)

References 12 publications

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“…Clipping acts in a real sample value 𝑦 according to 𝑦 ← sign(𝑦)min(|𝑦|, 0.5), where it is implicitly assumed that the dynamic range of the ADCs is [−0.5, +0.5] volts. The gains defined in (7) have the role of guaranteeing that almost the total signal excursion (six standard deviations) fits the dynamic range of the ADCs, going below or above this range as determined by 𝑓 od . In [9] it is also defined a system variable for the ADC dynamic range, but it is not needed because the gains given in (7) attain their role no matter the value of this variable.…”

Section: Improved Receiver Modelmentioning

confidence: 99%

“…The gains defined in (7) have the role of guaranteeing that almost the total signal excursion (six standard deviations) fits the dynamic range of the ADCs, going below or above this range as determined by 𝑓 od . In [9] it is also defined a system variable for the ADC dynamic range, but it is not needed because the gains given in (7) attain their role no matter the value of this variable. Further details on the reasoning behind such gain model are given in [9]; they are omitted here for the sake of conciseness.…”

Section: Improved Receiver Modelmentioning

confidence: 99%

“…For example, since the Release 13 of the 3 rd Generation Partnership Project (3GPP) recommendations, the unlicensed operation for mobile communications implements the listen before talk (LBT) protocol, which is in fact a realization of spectrum sensing to protect Wireless Fidelity (WiFi) communications from Long Term Evolution (LTE) interference [6]. Recent works on 5G and beyond are also in ongoing development, considering cognitive physical layers for operation in licensed bands by means of DSA [7].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Influence of a Direct-Conversion Receiver Model on the Performance of Detectors for Spectrum Sensing

Guimarães¹,

Pereira

2021

JCIS

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Section: Improved Receiver Modelmentioning

confidence: 99%

Section: Improved Receiver Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Influence of a Direct-Conversion Receiver Model on the Performance of Detectors for Spectrum Sensing

Guimarães¹,

Pereira

2021

JCIS

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“…The 5TONIC laboratory is established to provide an open ecosystem where members from business, industry, and academia collaborate with the telecoms research projects. Previous works by the authors present two of the main achievements of 5G-RANGE such as a multi-site Network Function Virtualization (NFV) testbed designed for experimentation with Small Unmanned Aerial Vehicles (SUAV) [17], or the new physical (radio) and MAC (Medium Access Control) layers developed to overcome the long-range link under 5G key performance indicators, targeting a cell radius of 50 Km with 100 Mb/s at the edge and closing the connectivity gap in remote and rural areas [18].…”

Section: Introductionmentioning

confidence: 99%

Deploying an NFV-Based Experimentation Scenario for 5G Solutions in Underserved Areas

Sanchez-Aguero

Vidal

Valera

et al. 2021

Sensors

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Presently, a significant part of the world population does not have Internet access. The fifth-generation cellular network technology evolution (5G) is focused on reducing latency, increasing the available bandwidth, and enhancing network performance. However, researchers and companies have not invested enough effort into the deployment of the Internet in remote/rural/ undeveloped areas for different techno-economic reasons. This article presents the result of a collaboration between Brazil and the European Union, introducing the steps designed to create a fully operational experimentation scenario with the main purpose of integrating the different achievements of the H2020 5G-RANGE project so that they can be trialed together into a 5G networking use case. The scenario encompasses (i)a novel radio access network that targets a bandwidth of 100 Mb/s in a cell radius of 50 km, and (ii) a network of Small Unmanned Aerial Vehicles (SUAV). This set of SUAVs is NFV-enabled, on top of which Virtual Network Functions (VNF) can be automatically deployed to support occasional network communications beyond the boundaries of the 5G-RANGE radio cells. The whole deployment implies the use of a virtual private overlay network enabling the preliminary validation of the scenario components from their respective remote locations, and simplifying their subsequent integration into a single local demonstrator, the configuration of the required GRE/IPSec tunnels, the integration of the new 5G-RANGE physical, MAC and network layer components and the overall validation with voice and data services.

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“…The Fifth Generation of Mobile Network (5G) encompasses four main application scenarios: massive Machine Type Communications (mMTC), enhanced Mobile Broadband (eMBB), Ultra Reliable Low Latency Communications (URLLC) communications [1] and enhanced Remote Area Communications (eRAC) [2]. Particularly for the eMBB scenario, the use of Millimeter Wave (mm-wave) has been highlighted as a key enabler to address the 5G requirements [3] [4].…”

Section: Introductionmentioning

confidence: 99%