Variability of sector averaged signals for UHF propagation in cities

Chrysanthou, Chrysanthos; Bertoni, H.L.

doi:10.1109/25.61356

Cited by 32 publications

(6 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This phenomenon is commonly referred to as shadowing. While techniques such as power control may be successful in mitigating the effects of shadowing, an understanding of the phenomenon is important to a variety of techniques [15]. Not only shadowing but also its spatial correlation have been measured and shown to be significant in other wireless networks.…”

Section: Related Work For Proposed Modelmentioning

confidence: 98%

“…Without using any forward error correction codes, ppr can be calculated by ppr=(1-p e ) L , where p e is the bit-errorratio (i.e. the probability of one bit being detected erroneously at the receiver) (15). Before running the greedy and the probabilistic progress algorithms, Dijkstra shortest path scheme was used to test the network connectivity and only connected graph were used in measurements [5].…”

Section: Numerical Experiments Set Upmentioning

confidence: 99%

See 1 more Smart Citation

Realistic physical layer modelling for georouting protocols in wireless ad-hoc and sensor networks

Khan

Constantinou

2009

2009 International Conference on Ultra Modern Telecommunications &Amp; Workshops

View full text Add to dashboard Cite

Existing routing and broadcasting protocols for ad-hoc networks assume an ideal physical layer. In reality, an accurate representation of physical layer is required for analysis and simulation of multi hop networking in sensor and ad-hoc networks. This paper describes the model for the lognormal correlated shadow fading loss from the first principles of probability theory, and investigates the importance of correlation length while designing protocols for ad-hoc and sensor networks. Nodes that are geographically proximate often experience similar environmental shadowing effects and can have correlated fading. We consider the overall path loss (shadow fading & median path loss) based on antennas working at 2.4 GHz with heights ranging from 0.5 metres to 1.8 metres. Finally, we analyze and compare the performance of localized position based greedy algorithm used for Unit Disk Graph (UDG) and probabilistic progress based algorithm on the proposed shadowing model for different values of standard deviation (σ) of shadow fading to show the importance of both the shadow fading and correlation length.

show abstract

Section: Related Work For Proposed Modelmentioning

confidence: 98%

Section: Numerical Experiments Set Upmentioning

confidence: 99%

Realistic physical layer modelling for georouting protocols in wireless ad-hoc and sensor networks

Khan

Constantinou

2009

2009 International Conference on Ultra Modern Telecommunications &Amp; Workshops

View full text Add to dashboard Cite

show abstract

“…6 it can be seen that for a given value of K, the empirical power distribution generated by the sum-product model is much more similar to the log-normal than that of the conventional product model. As implied by extensive numerical studies [9], [10], the convergence of the product model requires a large number of factors (e.g. > 30) to converge to log-normal distribution.…”

Section: A Sum-product Model Versus Product Modelmentioning

confidence: 99%

“…While this model appears physically plausible, experimental observations disagree with it to some extent. First, results from extensive computer simulations [9], [10] imply that the number of random attenuations needs to be quite large for the convergence to log-normal distribution to take place, e.g. 30 − 100.…”

mentioning

confidence: 99%

An Additive Model as a Physical Basis for Shadow Fading

Salo¹,

Vuokko²,

El-Sallabi³

et al. 2007

IEEE Trans. Veh. Technol.

View full text Add to dashboard Cite

Shadow fading (slow fading) effects play a central role in mobile communication system design and analysis. Experimental evidence indicates that shadow fading exhibits log-normal power distribution almost universally, and yet it is still not well understood what causes this. In this paper, we propose a versatile sum-product signal model as a physical basis for shadow fading. Simulation results imply that the proposed model results in log-normally distributed local mean power regardless of the distributions of the interactions in the radio channel, and hence it is capable of explaining the log-normality in a wide variety of propagation scenarios. The sum-product model also includes as its special cases the conventional product model as well as the recently proposed sum model, and improves upon these by: a) being applicable in both global and local distance scales; b) being more plausible from physical point of view; c) providing better goodness-of-fit to log-normal distribution than either of these models.

show abstract

“…Muitos são os autores que tratam da caracterização do canal rádio móvel nas diversas faixas de frequências [1], [2], [3], [4] e [5]. Na estimativa da média local para a análise estatística do desvanecimento de larga escala, as rotas sondadas são divididas em setores, que não devem ser muito pequenos porque acarretam erros excessivos, superestimando a média local, e nem muito grandes, pois as condições locais não mais se aplicam neste caso e a média local não é significativa [6].…”

Section: Introductionunclassified

Setorização E Filtragem De Média Móvel Na Análise Estatística Do Sinal Rádio Móvel

et al. 2017

View full text Add to dashboard Cite

Resumo: Este artigo compara as funções densidade de probabilidade (fdp's) obtidas segundo a técnica de setorização e da filtragem por média móvel sobre as potências das amostras de sinal rádio móvel adquiridas em ambiente indoor na faixa de 430 MHz. A distância entre as fdp's foi usada para compará-las, usando a métrica L 1 e, então, conclusões sobre o número de amostras usadas nas janelas dos filtros são obtidas. Palavras-chave:Desvanecimento; perda no percurso; filtro de média móvel; setorização.Abstract: This article compares the probability density functions (pdf's) obtained through clustering and moving average filtering techniques applied on the power samples of the mobile radio signal acquired in indoor environment on the 430 MHz range frequency. The distance between the pdf's was used to compare them, using the L 1 metrics.And then, conclusions about the number of samples used in the filters windows were outlined.

show abstract

Variability of sector averaged signals for UHF propagation in cities

Cited by 32 publications

References 11 publications

Realistic physical layer modelling for georouting protocols in wireless ad-hoc and sensor networks

Realistic physical layer modelling for georouting protocols in wireless ad-hoc and sensor networks

An Additive Model as a Physical Basis for Shadow Fading

Setorização E Filtragem De Média Móvel Na Análise Estatística Do Sinal Rádio Móvel

Contact Info

Product

Resources

About