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dc.contributor.author Masonta, M
dc.contributor.author Mekuria, F
dc.contributor.author Mzyece, M
dc.contributor.author Djouani, K
dc.date.accessioned 2016-05-16T10:11:14Z
dc.date.available 2016-05-16T10:11:14Z
dc.date.issued 2015-09
dc.identifier.citation Masonta, M, Mekuria, F, Mzyece M and Djouani, K. 2015. Adaptive spectrum decision framework for heterogeneous dynamic spectrum access networks. In: IEEE Africon 2015, Addis Ababa, Ethiopia, 14-17 September 2015 en_US
dc.identifier.uri http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7332055
dc.identifier.uri http://hdl.handle.net/10204/8530
dc.description IEEE Africon 2015, Addis Ababa, Ethiopia, 14-17 September 2015. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, please consult the publisher's website. en_US
dc.description.abstract Spectrum decision is the ability of a cognitive radio (CR) system to select the best available spectrum band to satisfy dynamic spectrum access network (DSAN) users¿ quality of service (QoS) requirements without causing harmful interference to primary users. In order to have reliable spectrum decision, CR nodes or secondary users (SUs) should identify available spectrum bands and from these candidate spectrum, a SU can select channels which are suitable to meet user QoS requirements. This paper proposes an adaptive spectrum decision framework (ASDF) which is a channel allocation scheme that selects suitable channels from a list of available channels based on SU preferred options. The scheme relies on a geo-location spectrum database for identification of available chanels. Key parameters (i.e. available channel bandwidth, time, and power) are extracted from each available spectrum and tagged according to their level in order to build a matrix of available channels. Our ASDF then maps channels with SUs based on channel properties and SU preferred options. Simulation results show that our ASDF is reliable and consistent when it comes to channel selection. Furthermore, our scheme provides efficient bandwidth utilization when compared to the first come first serve channel allocation scheme. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.relation.ispartofseries Workflow;15361
dc.subject Cognitive Radio en_US
dc.subject Dynamic spectrum access en_US
dc.subject Networks en_US
dc.subject TV White space en_US
dc.title Adaptive spectrum decision framework for heterogeneous dynamic spectrum access networks en_US
dc.type Presentation en_US


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