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Propagation effects in WiMAX systems. Sharmini Enoch Dr.Ifiok Otung. Contents. WiMAX Propagation effects in WiMAX Signal to noise ratio performance Conclusions. WiMAX. WiMAX- Worldwide Interoperability for Microwave Access Technology based on IEEE 802.16 standard
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Propagation effects in WiMAX systems Sharmini Enoch Dr.Ifiok Otung University of Glamorgan
Contents • WiMAX • Propagation effects in WiMAX • Signal to noise ratio performance • Conclusions University of Glamorgan
WiMAX • WiMAX- Worldwide Interoperability for Microwave Access • Technology based on IEEE 802.16 standard • Use wireless links with microwave or millimetre wave radios • Use licensed spectrum (typically) • Are metropolitan in scale • Provide public network service to fee-paying customers (typically) • Use point-to-multipoint architecture with stationary rooftop or tower-mounted antennas • Provide efficient transport of heterogeneous traffic supporting quality of service (QoS) University of Glamorgan
Propagation effects in WiMAX • 2-66 GHz frequency range affected by impairments • Propagation loss in terrestrial LOS relative to free space loss is sum of different contributions such as: (1) Rain (2) Atmospheric gases (3) Fog (4) Atmospheric multi-path (5) Diffraction (6) Snow In NLOS additional attenuation introduced by: (1) Shadowing (2)Vegetation • Simulation carried out using ITU-R models University of Glamorgan
Rain attenuation • Prediction of rain attenuation in LOS and NLOS terrestrial links is essential above 2 GHz frequency band • Above 10 GHz temporal variation in path loss is due to rain attenuation – the process depending on instantaneous rainfall rate • ITU-R 838 predicts rain attenuation University of Glamorgan
Attenuation due to atmospheric gases • Propagation loss has to be calculated for absorption due to water vapor and oxygen • Using ITU-R 676, the calculation is performed University of Glamorgan
Fog and Cloud attenuation • Typical particle diameter is between ten μm (fog) and several ten μm (water vapor) and number of particles per cm3, is between 100 and 500 • Incidence of fog with visibility less than 200 m in UK is typically in the range of 1% to 3% of the year • Attenuation due to thick fog is around 0.1 dB which is quite negligible University of Glamorgan
Atmospheric Multipath fading • A particularly severe form of frequency selective fading occurs when beam spreading of the direct signal combines with a surface reflected signal to produce multi-path fading • ITU-R 530 and ITU-R 453 are used in finding the average annual percentage distribution University of Glamorgan
Diffraction fading • When the atmosphere is sufficiently sub-refractive (large positive values of the gradient of refractive index, low k-factor values), the ray paths will be bent in such a way that the earth appears to obstruct the direct path between transmitter and receiver, giving rise to the kind of fading called diffraction fading • Diffraction fading is the factor that determines the antenna heights University of Glamorgan
Attenuation due to Snow and Dust • Attenuation due to snow or dust is predominantly a function of the moisture content of the particles • From ITU-R 839, there will be no additional attenuation due to melting layer if the following condition is satisfied: hlink < hrainm - 3600 hlink -> rain height at the centre of the path link hrainm -> median rain height • In our calculation the above equation is satisfied University of Glamorgan
Shadowing • Shadowing is an important effect in wireless networks • It causes the received SINR to vary dramatically over long time scales • The Walfish-Ikegami (W-I) model applies to smaller cells • It is recommended by WiMAX forum for modelling microcellular environments • The model assumes an urban environment with a series of buildings University of Glamorgan
Vegetation attenuation • Attenuation due to vegetation varies due to: (1) Irregular nature of medium (2) Wide range of species (3) Densities (4) Water content • Specific attenuation through trees in leaf is 20% greater than for leafless trees above 1 GHz University of Glamorgan
Signal to noise ratio performances • For all percentages of time the signal is subjected to outage. Such a link is not acceptable • BER is very high in the value of 0.2 for all percentages of time University of Glamorgan
Improvement of BER • By reducing bit rate and coverage distance • No significant improvement in BER with decreasing distance and lower data rate University of Glamorgan
Conclusions • Our study shows that availability of 99.99% is difficult to achieve under realistic propagation impairments conditions • WiMAX theoretical data rates between 1 Mbps to 75 Mbps is not possible as BER is higher at high data rates • Future work is aimed at reducing fading using space time block coding and increasing data rates using MIMO techniques University of Glamorgan
Thank you for your attention!!! University of Glamorgan