Propagation-path losses characterization for 800 MHz cellular communications in Bangkok

Paiboon, S.; Phokharatkul, Pisit; Somkuarnpanit, S.

doi:10.1109/tencon.1999.818644

Cited by 7 publications

(7 citation statements)

References 4 publications

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“…Hence, for basic transmission free space path loss denoted as L, is defined as the Radiator reciprocal of equation (10) which is the ratio of transmitted power to the received power usually expressed in decibel. For transmission between isotropic antennas, the gain of the receiver and transmitter assumes the value of unity (1) [6][7][8].…”

Section: Analysis Of the Free Space Modelmentioning

confidence: 99%

Effects of Climatic Change On Gsm Signal in Lagos Metropolitan Terrain

Shoewu

Akinyemi

Edeko

2014

Review of Environment and Earth Sciences

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non-urban (rural), suburban, urban, Exurban, dense-urban, micro-urban and peri-urban Contribution/ OriginalityThis study reveals how climate change affects the signal propagation of radio waves in two different seasons. It also explores some of the areas that were not considered such as suburban, peri-urban areas by other authors. This paper primary contribution is in the determination of unavailability of rain outage from the metropolitan areas. This research study therefore shows that climate affects signal propagation depending on climatic parameters (rain and harmattan), frequency of transmission and ITU regions of propagation (which justifies the size of rain and harmattan intensity) in Nigeria.

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Section: Analysis Of the Free Space Modelmentioning

confidence: 99%

Effects of Climatic Change On Gsm Signal in Lagos Metropolitan Terrain

Shoewu

Akinyemi

Edeko

2014

Review of Environment and Earth Sciences

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“…H. T. Friis presented the following equation to calculate the received signal power in free space at distance d from the transmitter [1]. PLfs = 32.45 + 20 log 10 (d) + 20 log 10 …”

Section: A Free Space Path Loss Model (Fspl)mentioning

confidence: 99%

“…Scenario 1: Urban Cost-231 Path loss PL = 46.3 + 33.9 log 10 (f) -13.82 log 10 (hb) -3.20 (log 10 (11.75 hm)) 2 -4.79 + (44.9 -6.55 log 10 (hb)) log 10 The parameter cm has different values for different environments like 0 dB for suburban and 3 dB for urban areas.…”

Section: Cost-231 Modelmentioning

confidence: 99%

“…Path loss according to this model is given by [8]. PL = ao + a1* log 10 (d) + a2* log 10 (hb) + a3* log 10 (hb) log 10 (d) -3.2(log 10 (11.75*hr) 2) + g(f) (23) G(f) = 44.49 log 10 (f) -4.78(log 10 (f)) (24)…”

Section: F Ericsson Modelmentioning

confidence: 99%

“…Simplified model for the propagation-path loss has been proposed by a linear combination of the logarithm of distance and the initial losses. The parameters of the model can be found statistically by fitting the measured signal strengths to the model [10].…”

Section: Simulation Of Modelsmentioning

confidence: 99%

See 2 more Smart Citations

Simulation and performance evaluation of GSM propagation channel under the urban, suburban and rural environments

Nimavat¹,

Kulkarni²

2012

2012 International Conference on Communication, Information &Amp; Computing Technology (ICCICT)

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Nowadays the Global System for Mobile Communication (originally from Groupe Special Mobile) -GSM technology becomes popular. GSM has potential success in its lineof-sight (LOS) and non line-of-sight (NLOS) conditions which operating in the 900 MHz or 1800 MHz bands. There are going to be a surge all over the world for the deployment of GSM networks. Estimation of path loss is very important in initial deployment of wireless network and cell planning. Numerous path loss (PL) models (e.g. Okumura Model, Hata Model) are available to predict the propagation loss. In this paper we compare and analyze five path loss models (i.e. COST 231 Hata model, SUI model, Ericsson model and COST 231 Walfish-Ikegami model) in different receiver antenna heights in urban, suburban and rural environments in NLOS condition. Our main concentration in this paper is to find out a suitable model for different environments to provide guidelines for cell planning of GSM Network at cellular frequency of 900 MHz. Keywords: FSPL, Okumura Model, Cost 231 Model, SUI Model, Cost 231 W-I Model, Ericsson Mode

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Propagation Path Loss Characterization for An 870 MHz Cellular CDMA System in Taipei City

Wang

Huang

2007

2007 International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications

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Propagation-path losses characterization for 800 MHz cellular communications in Bangkok

Cited by 7 publications

References 4 publications

Effects of Climatic Change On Gsm Signal in Lagos Metropolitan Terrain

Effects of Climatic Change On Gsm Signal in Lagos Metropolitan Terrain

Simulation and performance evaluation of GSM propagation channel under the urban, suburban and rural environments

Propagation Path Loss Characterization for An 870 MHz Cellular CDMA System in Taipei City

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