University of Khartoum

Distance-Based Cognitive Radio Networks Spectrum Management and Coverage Planning

Distance-Based Cognitive Radio Networks Spectrum Management and Coverage Planning

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Title: Distance-Based Cognitive Radio Networks Spectrum Management and Coverage Planning
Author: Elmakki, Abdalla Bashir Yousif
Abstract: With the advent of new high data rate wireless applications, as well as growth of existing wireless services, demand for additional bandwidth is increasing rapidly and the spectrum will be scarce; researches focusing currently on cognitive radio (CR) as a new paradigm for enabling much higher spectrum utilization. This thesis gives an overview of cognitive radio systems and explains the different components of the cognitive cycle, and it reviewing the key terms and concepts related to CR spectrum management such as spectrum sensing and spectrum access techniques. The objectives of this thesis are proposes and adopted a spectrum management algorithm, and develop a coverage planning tool that leads to efficient use of the frequency spectrum of the proposed DBCRN. The contributions of this thesis are to propose algorithms and developing a network planning tool that can be used in managing spectrum, and planning the coverage of a next generation network named as thesis entitled Distance-Based Cognitive Radio network (DBCRN). This thesis considers a DBCRN as an integrated system that consists of database connected with a single cognitive base station (CBS) communicating with multiple CRs over wireless channels, while being assisted by multiple relays. The database accepts geolocation information of the CR and provides CBS with the environmental information such as the geographical features, available services and networks, and spectral regulations. The coverage planning tool considers the database information and the CRs sensed data, and then it calculates the distance between the CR and the CBS. Based on the calculated distance, the proposed algorithm describes how CRs join a CRN and other existing wireless networks. Moreover the planning tool determine what type of propagation models should be selected and on what basis it can do that. The network planning tool developed by using many computer aided simulation tools in particular, the Visual Basic.net (VB.NET) 2015 programming language, and SQL Server 2014. The thesis conclude that the DBCRN network will enable lower cost Internet access by reducing the substantial cost component associated with the purchase of spectrum, and it could create the backhaul necessary to reach remote rural areas. It is also can be used in dense urban areas to enable efficient sharing of the scarce spectrum resource. The thesis recommends further researches to design REM database compatible with DBCRN planning tool, and optimize the performance of the proposed DBCRN.
URI: http://khartoumspace.uofk.edu/123456789/27114


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