Please use this identifier to cite or link to this item: https://elibrary.tucl.edu.np/handle/123456789/9182
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dc.contributor.authorManandhar, Shraddha-
dc.date.accessioned2022-03-18T11:09:32Z-
dc.date.available2022-03-18T11:09:32Z-
dc.date.issued2011-03-
dc.identifier.citationMaster of Science in Information and Communication Engineeringen_US
dc.identifier.urihttps://elibrary.tucl.edu.np/handle/123456789/9182-
dc.descriptionIn the past, spectrum allocation to various service providers was based on the specific band assignments for a particular service.en_US
dc.description.abstractIn the past, spectrum allocation to various service providers was based on the specific band assignments for a particular service. This method of frequency allocation shows inefficiency in the optimum utilization of available spectrum. Thus inefficiency due to fixed spectrum allocation can be improved through opportunistic access to spectrum by users. Cognitive Radio(CR) is a technology that implements dynamic spectrum access which provides capacity to share the wireless channel with the licensed user in an opportunistic way. Networks based on CR has reconfigurable capabilities in terms of frequency usage, transmit power, modulation schemes, etc. The work presented in this report can be divided into two features both of which are the part of a network planning tool referred to as Cognitive radio Network Planning Tool (CNPT). It is developed with two features: first feature determines coverage of a deployed WRAN base station (IEEE 802.22 standard), and calculate number of base stations required to serve the area; second features estimates the price of the unused spectrum of the TV broadcasters that is to be sold to WRAN operators. This feature also calculates the service tariff defined for WRAN operator to be charged to it’s subscriber such that the WRAN operator maximizes his profit.en_US
dc.language.isoenen_US
dc.publisherPulchowk Campusen_US
dc.subjectCognitive Radio(CR)en_US
dc.subjectCognitive radio Network Planning Tool (CNPT)en_US
dc.titleNetwork Planning for Re-Configurable Networks-Cognitive System Designen_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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