Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Genetic Algorithm for Selecting Optimal Secondary Users to Collaborate in Spectrum sensing
Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap.
Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap.
2010 (Engelska)Självständigt arbete på avancerad nivå (masterexamen)Studentuppsats (Examensarbete)Alternativ titel
Genetisk algoritm för val av Optimal Sekundära användare att samarbeta i Spectrum avkänning (Svenska)
Abstract [en]

Cognitive Radio is an innovative technology that allows the secondary unlicensed users to share the spectrum with licensed primary users to utilize the spectrum. For maximum utilization of spectrum, in cognitive radio network spectrum sensing is an important issue. Cognitive user under extreme shadowing and channel fading can‟t sense the primary licensed user signal correctly and thus to improve the performance of spectrum sensing, collaboration between secondary unlicensed users is required. In collaborative spectrum sensing the observation of each secondary user is received by a base station acting as a central entity, where a final conclusion about the presence or absence of the primary user signal is made using a particular decision and fusion rule. Due to spatially correlated shadowing the collaborative spectrum sensing performance decreases, and thus optimum secondary users must be selected to, not only improve spectrum sensing performance but also lessen the processing overhead of the central entity. A particular situation is depicted in the project where according to some performance parameters, first those optimum secondary users that have enough spatial separation and high average received SNR are selected using Genetic Algorithm, and then collaboration among these optimum secondary users is done to evaluate the performance. The collaboration of optimal secondary user providing high probability of detection and low probability of false alarm, for sensing the spectrum is compared with the collaboration of all the available secondary users in that radio environment. At the end a conclusion has been made that collaboration of selected optimum secondary users provides better performance, then the collaboration of all the secondary users available.

Abstract [sv]

Cognitive Radio is an innovative technology that allows the secondary unlicensed users to share the spectrum with licensed primary users to utilize the spectrum. For maximum utilization of spectrum, in cognitive radio network spectrum sensing is an important issue. Cognitive user under extreme shadowing and channel fading can‟t sense the primary licensed user signal correctly and thus to improve the performance of spectrum sensing, collaboration between secondary unlicensed users is required. In collaborative spectrum sensing the observation of each secondary user is received by a base station acting as a central entity, where a final conclusion about the presence or absence of the primary user signal is made using a particular decision and fusion rule. Due to spatially correlated shadowing the collaborative spectrum sensing performance decreases, and thus optimum secondary users must be selected to, not only improve spectrum sensing performance but also lessen the processing overhead of the central entity. A particular situation is depicted in the project where according to some performance parameters, first those optimum secondary users that have enough spatial separation and high average received SNR are selected using Genetic Algorithm, and then collaboration among these optimum secondary users is done to evaluate the performance. The collaboration of optimal secondary user providing high probability of detection and low probability of false alarm, for sensing the spectrum is compared with the collaboration of all the available secondary users in that radio environment. At the end a conclusion has been made that collaboration of selected optimum secondary users provides better performance, then the collaboration of all the secondary users available.

Ort, förlag, år, upplaga, sidor
2010. , s. 76
Nyckelord [en]
Geneticl Algorithm, secondary users, Cognitive radio, Spectrum sensing
Nationell ämneskategori
Signalbehandling Sannolikhetsteori och statistik Telekommunikation
Identifikatorer
URN: urn:nbn:se:bth-3418Lokalt ID: oai:bth.se:arkivexDE5E1818A4AED8AAC12577C90068F537OAI: oai:DiVA.org:bth-3418DiVA, id: diva2:830724
Uppsök
fysik/kemi/matematik
Handledare
Tillgänglig från: 2015-04-22 Skapad: 2010-10-27 Senast uppdaterad: 2015-06-30Bibliografiskt granskad

Open Access i DiVA

fulltext(1172 kB)226 nedladdningar
Filinformation
Filnamn FULLTEXT01.pdfFilstorlek 1172 kBChecksumma SHA-512
5dc48e93f0b80b166ef832f0aea295a3029b4db41fd5429b3cf221611fa4eb85514fb0dda6dcfd713f0a85bf4c61ce77e536a368b714ca88223b86441594b05b
Typ fulltextMimetyp application/pdf
fulltext(1172 kB)244 nedladdningar
Filinformation
Filnamn FULLTEXT02.pdfFilstorlek 1172 kBChecksumma SHA-512
5dc48e93f0b80b166ef832f0aea295a3029b4db41fd5429b3cf221611fa4eb85514fb0dda6dcfd713f0a85bf4c61ce77e536a368b714ca88223b86441594b05b
Typ fulltextMimetyp application/pdf

Av organisationen
Sektionen för ingenjörsvetenskap
SignalbehandlingSannolikhetsteori och statistikTelekommunikation

Sök vidare utanför DiVA

GoogleGoogle Scholar
Totalt: 470 nedladdningar
Antalet nedladdningar är summan av nedladdningar för alla fulltexter. Det kan inkludera t.ex tidigare versioner som nu inte längre är tillgängliga.

urn-nbn

Altmetricpoäng

urn-nbn
Totalt: 268 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf