K-mean clustering and correlation analysis in recognition of weather impact on radio signal

Skapa, Jan; Dvorský, Marek; Michalek, Libor; Sebesta, Roman; Blaha, Petr

doi:10.1109/tsp.2012.6256306

Cited by 6 publications

(3 citation statements)

References 8 publications

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“…The use of repeaters is necessary mainly due to the obstructions in form of mountains, buildings or forest in the signal path. A problematic area of radio transmission is also the weather; more information about the influence of weather on radio transmission can be found in [33]. The FCC frequency band is not allowed to be used in Europe, the communication needs to be CENELEC EN 50065-1 compliant.…”

Section: Discussion and Evaluationmentioning

confidence: 99%

Heterogeneous Networks for Smart Metering – Power Line and Radio Communication

Mlýnek

Misurec

Fujdiak

et al. 2015

ElAEE

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In this paper, the radio wireless communication and the narrowband power line communication are analysed, simulated and experimentally verified for Smart Metering systems. This is followed by the proposal of a heterogeneous network, which consists of wireless radio transmission and narrowband power line communication (PLC). In rural and remote areas, due to the low population density and the poor familiarity with new technologies, the heterogeneous radio-PLC network offers a solution for smart grid and smart metering applications.

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Section: Discussion and Evaluationmentioning

confidence: 99%

Heterogeneous Networks for Smart Metering – Power Line and Radio Communication

Mlýnek

Misurec

Fujdiak

et al. 2015

ElAEE

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“…As the rate of rainfall increases, more disruption is caused to the outdoor link [9]. Some dependencies between weather conditions and receive level were studied in [10]. There is a relationship between refractivity from rainfall and propagation of the GSM radio signal as greater refractivity means lower signal quality and vice versa [11].…”

Section: Introductionmentioning

confidence: 99%

Experimental Study on the Impact of Weather Conditions on Wide Code Division Multiple Access Signals in Nigeria

Eli-Chukwu¹,

Onoh

2019

Eng. Technol. Appl. Sci. Res.

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In cellular network activities, before a site is integrated it is expected that each cell of the site meets the Nigerian Communication Commission (NCC) standard of ≥98% for both service accessibility and call completion rate which in turn depicts a ≤2% in both blocked call rate (BCR) and dropped call rate (DCR). It is suggested that weather conditions have a very strong negative effect on the performance of wideband code division multiple access (WCDMA) network as it could lead to signal attenuation or change the polarization. In this paper, we study the impact of weather conditions on WCDMA network in Nigeria. To achieve this, network samples (log-files) were collected weekly during a driving test in Enugu State Nigeria for a period of five years for both rainy and dry seasons, in which blocked and dropped calls were extracted. Results show that during adverse weather conditions, BCR and DCR rise greater than 8% and 4% respectively. Although with a slight relationship between the weather conditions, the weather condition during the dry season has a better-blocked call rate of 8.76% in comparison with the rainy season with 12.89%. Calls tend to drop more during the dry season. From the outcome of the experiment, a model was developed for predicting an unknown network call statistics variables.

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“…In [12] a radio link was augmented by a radio channel state prediction method. In [13] we presented a K-means method that was used to decide which parameter related to weather affects the propagation of radio waves in a mobile telecommunication network.…”

Section: Introductionmentioning

confidence: 99%

A Signal Strength Fluctuation Prediction Model Based on the Random Forest Algorithm

Dohnálek

Dvorský

Gajdoš

et al. 2014

ElAEE

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This article describes the effect of the weather on radio wave propagation in a mobile telecommunication network. The research is focused on urban and countryside environments where a correlation between the received signal power level and weather conditions is found using the Random Forest algorithm as a signal level approximator. The results achieved in this paper clearly indicate that it is possible to predict the behaviour of the received power level in relationship to atmospheric phenomena.

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K-mean clustering and correlation analysis in recognition of weather impact on radio signal

Cited by 6 publications

References 8 publications

Heterogeneous Networks for Smart Metering – Power Line and Radio Communication

Heterogeneous Networks for Smart Metering – Power Line and Radio Communication

Experimental Study on the Impact of Weather Conditions on Wide Code Division Multiple Access Signals in Nigeria

A Signal Strength Fluctuation Prediction Model Based on the Random Forest Algorithm

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