IRACON channel measurements and models

Salous, Sana; Gaillot, Davy P.; Molina‐Garcia‐Pardo, José‐María; He, Ruisi; Saito, Kentaro; Guan, Ke; Barbiroli, Marina; Pascual‐García, Juan; Haneda, Katsuyuki

doi:10.1016/b978-0-12-820581-5.00009-2

Cited by 7 publications

(7 citation statements)

References 26 publications

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“…The proposed mathematical model in (2) takes advantage of the spatial analysis of measured samples included in the variography process, which generates the principal boundary that Kriging considers for interpolations. The results we here present are aimed at two distinct objectives, firstly quantifying the benefit of including 3D measurements and secondly, assessing the advantage of using the Kriging-aided model (2).…”

Section: Resultsmentioning

confidence: 99%

“…To this effect, three different cases to select tuning and testing datasets are considered. A tuning dataset is used to train the models, in order to fit 𝑛 and 𝑆 in (1) and model the variogram to estimate 𝜆 i in (2). The testing dataset allows us to predict the path loss when using the previously obtained model at the 3D locations and compare them to the measured values.…”

Section: Resultsmentioning

confidence: 99%

“…Propagation in corridors, whose structural geometry resembles a waveguide, has been reported to exhibit path losses lower than those observed in free space, attributable to the contributions of reflections along walls, floor, and ceiling. This has been referred to in the literature as "waveguide effect" [2]- [5], characterized by a path loss exponent (PLE) less than 2 as reported in [6].…”

Section: Introductionmentioning

confidence: 99%

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Towards Practical Path Loss Predictions in Indoor Corridors Considering 5G mmWave Three-Dimensional Measurements

Diago-Mosquera

Aragón‐Zavala

Rodríguez

2022

Antennas Wirel. Propag. Lett.

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Theoretical and empirical foundations of how radio waves behave in practical wireless channels need to be fully revisited for millimeter-wave (mmWave) frequencies so that fifthgeneration (5G) technologies may be successful. Kriging is an outstanding geostatistal interpolation technique that employs variography to understand the spatial variability of known samples at specific locations to predict unmeasured samples, based on the fact that there is an implied connection between the measured value and its location in space. The research we here report is aimed at validating the improvement in predictions when this tool is included for mmWave frequency path loss modeling in a long indoor corridor with break. In order to quantify the accuracy of the proposed methodology, it is compared with a wellestablished procedure described in the literature. Extensive pathloss measurements were collected through specialized narrowband sounders at 28 and 60 GHz. Spatially averaged power measurements using omnidirectional and directive antennas at different heights provided the empirical basis for the threedimensional (3D) Kriging-aided model. It was found that this method significantly improves the accuracy as it considers all the singularities and site-associated features that are implicit in measured samples. This is important to obtain a reliable path loss model for planning and deployment of mmWave wireless communication systems in indoor scenarios.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Towards Practical Path Loss Predictions in Indoor Corridors Considering 5G mmWave Three-Dimensional Measurements

Diago-Mosquera

Aragón‐Zavala

Rodríguez

2022

Antennas Wirel. Propag. Lett.

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“…At 3 GHz, this BEL is 10 dB higher than that of 1.5 GHz. The BEL of 11 dB to 27 dB is reported in [28] for various sections of the building at 3 GHz. The author [29] presented propagation losses in multistory buildings at 900 MHz while Kacou et al [19] presented a multiwall path loss model for 800 MHz to 6 GHz in a residential single story building.…”

Section: A Propagation Loss For Indoor Communicationmentioning

confidence: 99%

Propagation loss model for neighborhood area networks in smart grids

2022

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Currently the power sector is striving for the efficient utilization of its generation capabilities in existing distributed energy networks. In future smart grids, applications like automated meter reading, direct load control with demand side management, and charging points for electric vehicles in multistory parking plazas will pose a strong communication challenge to the RF planners. One of the main objectives is to design a realistic link budget for outdoor-to-deep-indoor wireless communication scenarios while utilizing the existing grid infrastructure. This paper presents a realistic two-slope empirical path loss model to predict power requirements for the wireless link between smart meters in prosumer premises and remote utility/grid devices presumably available in near vicinity. The proposed model is based on measurements performed over three sub-gigahertz frequency bands (200 MHz, 434 MHz, and 868 MHz) and the 2.4 GHz band. It supports outside, inside and in-basement deployment of the smart meter communication unit.

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“…Therefore, recovery difficulty decreases with n. The effect of the wireless channel is mainly based on different types of losses and interference in the channel. All these qualities of wireless channels cause losses in data transmission [16], and therefore, recovery difficulty increases with free space losses, fading, diffraction, absorption, reflection, atmospheric losses, and interferences. We investigate the effect of some of these features in section III-B.3.…”

mentioning

confidence: 99%

Proof of Sense: A Novel Consensus Mechanism for Spectrum Misuse Detection

Fernando

Dadallage

Gamage

et al. 2022

IEEE Trans. Ind. Inf.

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Optimal use of scarce radio spectrum is essential in the proliferation of beyond 5G networks, and promising blockchain technology offers various benefits for the spectrum management. However, existing blockchain-based solutions are expensive, non-optimized, and lack spectrum fraud detection. This paper proposes a novel consensus mechanism for a blockchain-based Dynamic Spectrum Access (DSA) system. The proposed "Proof-of-Sense" consensus mechanism operates based on spectrum sensing procedures rather than cryptographic calculations. It is specially designed to address fraudulent/unauthorized access to the spectrum by analyzing the sensed spectrum data. The core of the consensus mechanism is a cryptographic key sharing mechanism inspired by Shamir's secret sharing scheme. Moreover, the proposed DSA system can enable different micro-services such as automated spectrum auctions, payment and penalty handling, and spectrum fraud detection. A proof-of-concept based on experimental approaches coupled with Matlab simulations is presented to analyze the performance of the proposed consensus mechanism.

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IRACON channel measurements and models

Cited by 7 publications

References 26 publications

Towards Practical Path Loss Predictions in Indoor Corridors Considering 5G mmWave Three-Dimensional Measurements

Towards Practical Path Loss Predictions in Indoor Corridors Considering 5G mmWave Three-Dimensional Measurements

Propagation loss model for neighborhood area networks in smart grids

Proof of Sense: A Novel Consensus Mechanism for Spectrum Misuse Detection

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