Please use this identifier to cite or link to this item: https://elibrary.tucl.edu.np/handle/123456789/9111
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dc.contributor.authorUpadhyay, Rajendra-
dc.date.accessioned2022-03-16T07:26:02Z-
dc.date.available2022-03-16T07:26:02Z-
dc.date.issued2015-11-
dc.identifier.citationMASTER OF SCIENCE IN INFORMATION AND COMMUNICATION ENGINEERINGen_US
dc.identifier.urihttps://elibrary.tucl.edu.np/handle/123456789/9111-
dc.descriptionThe radio channel has very significant characteristics specially in Mobile Ad Hoc Wireless Networks because of its dynamic configuration, mobility, type of terrains in which the networks operates and fading and multipath propagation.en_US
dc.description.abstractThe radio channel has very significant characteristics specially in Mobile Ad Hoc Wireless Networks because of its dynamic configuration, mobility, type of terrains in which the networks operates and fading and multipath propagation. The integration of Multiple Input Multiple Output (MIMO) elements for either diversity or spatial multiplexing makes the channel more complex for study and analysis. This thesis work implements the MIMO channel simulation for Mobile Ad Hoc Wireless Networks and studies and examines the effects of important characteristics on the channel. The characteristics like Doppler shift due to mobile devices, Doppler power spectrum, type of terrains, spatial correlation have been introduced in the channel and examined the channel behaviour. The MIMO channel simulation is implemented based on power delay profile, Doppler power spectrum and spatial correlation at the transmitter and receiver. The spatial correlation present at the transmitter and receiver has seen to have great effect on fading envelopes at the channel output. The simulation results obtained for 1*2 MIMO diversity indicate that the Gaussian spectrum is more suitable for signal estimation in low mobile velocity both in urban and hilly areas. But in high mobile velocity, Flat spectrum is suitable for signal estimation in urban areas and Flat and Jakes spectrum both are suitable for signal estimation in hilly areas. .en_US
dc.language.isoenen_US
dc.publisherPulchowk Campusen_US
dc.subjectDoppler shift,en_US
dc.subjectspatial correlation,en_US
dc.subjectDoppler power spectrum,en_US
dc.subjectMIMO,en_US
dc.titleMIMO CHANNEL SIMULATION AND ANALYSIS FOR MOBILE AD HOC WIRELESS NETWORKSen_US
dc.typeThesisen_US
local.institute.titleInstitute of Engineeringen_US
local.academic.levelMastersen_US
local.affiliatedinstitute.titlePulchowk Campusen_US
Appears in Collections:Electronics and Computer Engineering

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