Radio Network Planning and Propagation Models for Urban and Indoor Wireless Communication Networks

Krzysztofik, Wojciech J.

doi:10.5772/intechopen.75384

Cited by 5 publications

(2 citation statements)

References 10 publications

(13 reference statements)

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“…Existing mobile positioning methods designed for stationary objects do not allow to track moving objects, and they will not be picked up by a Wi-Fi sniffer [15].…”

Section: The Methods Of Analyzing the Positioning Of Moving Objects B...mentioning

confidence: 99%

Determining the location of patients in remote rehabilitation by means of a wireless network

Tohoiev

2023

Acta IMEKO

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This article discusses the indoor object's location identification method that had been developed to use in medical facilities. Differently from other similar methods, the one reported in this paper requires access to Wi-Fi access points only and, most importantly, it does not require the mobile device to be in hotspot mode. It is proposed to use Wi-Fi access points (routers) with non-standard firmware as measuring equipment to determine the coordinates of the patient's location within the medical institution. Thus, it can be claimed that using of the proposed method will help to achieve acceptable accuracy in real environments at real-time identification mobile devices using simple hardware and software requirements.

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“…Existing mobile positioning methods designed for stationary objects do not allow to track moving objects, and they will not be picked up by a Wi-Fi sniffer [15].…”

Section: The Methods Of Analyzing the Positioning Of Moving Objects B...mentioning

confidence: 99%

Determining the location of patients in remote rehabilitation by means of a wireless network

Tohoiev

2023

Acta IMEKO

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“…In this paper, we intend to evaluate Electromagnetic Wave (EM) based deterministic models to understand the applicability of these models to predict LoRaWAN RSS in urban areas. The EM deterministic models' ability to accurately consider the phenomena of path loss over the rooftops, diffraction, reflections from buildings, dispersion, and wave running are essential features for dense urban outdoor RF propagation [29]. Deterministic models require the use of accurate and high-quality terrain models of the environment.…”

Section: Cost-231 Walfish-ikegamimentioning

confidence: 99%

Trace-Driven Simulation of LoRaWAN Air Channel Propagation in an Urban Scenario

Harinda¹,

Larijani²,

Gibson³

2020

Adv. sci. technol. eng. syst. j.

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Long-range, Low-Power Wide Area Network (LoRaWAN) is a very scalable solution for the Internet of Things (IoT). Due to the air channel environment's complexity, connectivity is a crucial parameter for successfully planning and deploying the IoT networks. Measurements and simulations have been used to evaluate LoRaWAN propagation models in the Urban environment, but it is a challenging task. While practical propagation evaluation has been prohibitively expensive, the theoretical modeling results have been less accurate. This paper uses real-world measurements and a trace-driven simulation technique to evaluate the RF propagation models' prediction performance for LoRaWAN 868 MHz propagation. First, a novel LoRaWAN tracedriven simulation of Glasgow city centre has been performed. Second, LoRaWAN 868 MHz measurements have been used to perform a critical analysis of LoRaWAN trace-driven Radio Frequency (RF) propagation models and validation. The processed trace dataset is composed of GPS coordinates, and the corresponding LoRaWAN received signal strength. The dataset has been extracted from 5017 datasets of LoRaWAN measurements taken from Glasgow city centre. A trace simulation program built-in ICS-Telecom was used to simulate LoRaWAN propagation in the real-world urban environment. Comparison of LoRaWAN simulation traces and the real-world data was performed to evaluate the prediction performance accuracy of Deygout 94, ITU-R 525/526, and COST-Walfish Ikegami (COST-WI) propagation models. All models overestimated LoRaWAN trace-simulated RSS levels in comparison to collected measurement samples. While Deygout 94 prediction accuracy was higher with mean absolute error (MAE) at 0.83 dBm and standard deviation (SD) at 4.17 dBm, COST-WI performed poorly with MAE and SD at 2.87 dBm and 10.96 dBm respectively.

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Field Measurement of Digital Terrestrial Television DVB-T2 on Urban Area: Validation of Link Budget Model using GIS

Febiyani

Anggraeni

Anisah

2021

2021 4th International Conference on Information and Communications Technology (ICOIACT)

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Radio Network Planning and Propagation Models for Urban and Indoor Wireless Communication Networks

Cited by 5 publications

References 10 publications

Determining the location of patients in remote rehabilitation by means of a wireless network

Determining the location of patients in remote rehabilitation by means of a wireless network

Trace-Driven Simulation of LoRaWAN Air Channel Propagation in an Urban Scenario

Field Measurement of Digital Terrestrial Television DVB-T2 on Urban Area: Validation of Link Budget Model using GIS

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