Comparison of Empirical Propagation Path Loss Models for Fixed Wireless Access Systems

Abhayawardhana, V.S.; Wassell, I.J.; Crosby, Dave; Sellars, M.P.; Brown, Mark G.

doi:10.1109/vetecs.2005.1543252

Cited by 417 publications

(282 citation statements)

References 6 publications

Supporting

Mentioning

268

Contrasting

Unclassified

Order By: Relevance

“…The correction factor for receiving the antenna height X h and the correction factor for operating frequency X f for the SUI Model are given in (Abhayawardhana et al, 2005) …”

Section: Stanford University Interim (Sui) Modelmentioning

confidence: 99%

See 1 more Smart Citation

Path Loss Measurements for Wireless Communication in Urban and Rural Environments

Zakaria¹,

Hošek²,

Misurec³

2015

American Journal of Engineering and Applied Sciences

View full text Add to dashboard Cite

Path loss models are useful planning tools that allow the designers of wireless communication networks to achieve optimal levels for the base station deployment and meeting the expected service level requirements. In this study various propagation models (COST 231 Walfisch-Ikegami W-I, Ericsson and Stanford University Interim SUI) are analyzed and compared with the measurements. The measured data were taken in urban (high density region) and rural (low density region) environments at the operating frequency of 1700 MHz using the spectrum analyzer. As one of the key outputs, It was found that the calculations of SUI model fit with the measured data in urban environment.

show abstract

“…The correction factor for receiving the antenna height X h and the correction factor for operating frequency X f for the SUI Model are given in (Abhayawardhana et al, 2005) …”

Section: Stanford University Interim (Sui) Modelmentioning

confidence: 99%

“…Moreover, path loss can be defined as the ratio between transmitted and received power, usually expressed as the following form in decibels (Abhayawardhana et al, 2005) …”

Section: Introductionmentioning

confidence: 99%

Path Loss Measurements for Wireless Communication in Urban and Rural Environments

Zakaria¹,

Hošek²,

Misurec³

2015

American Journal of Engineering and Applied Sciences

View full text Add to dashboard Cite

show abstract

“…We focused in this paper on Walfish-Ikigami propagation model [7], see [8] for an exploration of alternative models. Basically, the model provides an expressing of the path loss of the signal transmitted by the BTS (Tx) and received signal at the MS receiver (Rx), as a function of the distance between BTS and MS and the carrier frequency f, also determined using TEMS investigation displayed parameters.…”

Section: Distance Calculationmentioning

confidence: 99%

Performance Comparison of the Kalman Filter Variants for Dynamic Mobile Localization in Urban Area Using Cellular Network

Bouzera¹,

Mezhoud²,

Khireddine³

et al. 2015

IJCTE

View full text Add to dashboard Cite

“…The parameter values for link budget calculation were taken from Holma and Toskala [4] for the UMTS2100 and values for UMTS900 were obtained from Ovum Consulting [7] as shown in table I. The obtained propagation loss is used to estimate cell range by using the Cost 231 Hata radio propagation model [8]; [9]; [10]. A radio propagation model is an empirical mathematical formulation, which characterizes radio wave propagation as a function of frequency and distance, created with the goal of formalizing the way radio waves are propagated from one place to another.…”

Section: A Radio Network Dimensioningmentioning

confidence: 99%

Techno-economic analysis of UMTS900 and UMTS2100 for rural connectivity in Tanzania

Simba

Trojer

Mwinyiwiwa

et al. 2012

2012 IEEE 14th International Conference on Communication Technology

View full text Add to dashboard Cite

Abstract-Rural areas of the developing countries lack Information and Communication Technology (ICT) infrastructures such as access network, also known as last mile connectivity, to deliver ICT services. The lack of connectivity is due to high cost of implementing ICT infrastructures. Wireless technologies are envisioned as candidates for rural connectivity. They are not only easier and faster to deploy but also cheaper than the wired technologies. This paper presents a technoeconomic analysis of two wireless technologies in Tanzania, called third generation (3G) implemented at 900MHz and at 2100MHz frequency bands. Objectives of techno-economic analysis are to investigate economic feasibility and to determine a cost effective option between the two connectivity options. Results show that, 3G at 900HMz is a feasible and cost -effective connectivity technology in Tanzania. These results can be generalized to other developing countries, since rural areas pose similar characteristics with regard to ICT infrastructure development.

show abstract

Comparison of Empirical Propagation Path Loss Models for Fixed Wireless Access Systems

Cited by 417 publications

References 6 publications

Path Loss Measurements for Wireless Communication in Urban and Rural Environments

Path Loss Measurements for Wireless Communication in Urban and Rural Environments

Performance Comparison of the Kalman Filter Variants for Dynamic Mobile Localization in Urban Area Using Cellular Network

Techno-economic analysis of UMTS900 and UMTS2100 for rural connectivity in Tanzania

Contact Info

Product

Resources

About