Estimation of Path Loss Model for a 2.65 GHz Mobile WiMAX Network Deployed in a Sub-Urban Environment with Regression Techniques
Autor: | Chaudhuri Manoj Kumar Swain, Susmita Das |
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Rok vydání: | 2017 |
Předmět: |
Computer science
business.industry Real-time computing 020206 networking & telecommunications 02 engineering and technology Spectral efficiency Interference (wave propagation) WiMAX Computer Science Applications Base station Link budget 0202 electrical engineering electronic engineering information engineering Cellular network Bit error rate Path loss 020201 artificial intelligence & image processing Electrical and Electronic Engineering business Efficient energy use Computer network |
Zdroj: | Wireless Personal Communications. 99:283-297 |
ISSN: | 1572-834X 0929-6212 |
DOI: | 10.1007/s11277-017-5059-5 |
Popis: | Deployment of an efficient cellular network is considered as a challenging task as it affects the performance measures like data rate, bit error rate, spectrum efficiency and energy efficiency etc. For this, the foremost important step is developing an accurate path loss model for the network in the deployment region. In this paper, an empirical path loss model is estimated for an IEEE 802.16e standardised WiMAX network operating on a carrier frequency of 2.65 GHz deployed in a sub-urban area. An experimental setup is designed for collecting the parameters such as carrier to interference plus noise ratio (CINR), received signal strength indicator (RSSI) for the concerned network and with the help of regression technique, the path loss model is formulated. The relationships between CINR, RSSI, and the distance between base station and customer premise equipment are formulated. The distributions of RSSI, CINR and path loss for the concerned network are also found out. Then by using the proposed path loss model, link budget analysis is performed. From the analysis, it is concluded that the proposed path loss model closely approximates to Stanford University Interim model with path loss exponent value of 3.45. |
Databáze: | OpenAIRE |
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