Publikationer från Malmö universitet
Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Adaptive Spectrum Decision Framework for Heterogeneous Dynamic Spectrum Access Networks
Tshwane Univ Technol, FSATI, ZA-0001 Pretoria, South Africa.;CSIR Meraka Inst, ZA-0001 Pretoria, South Africa..
CSIR Meraka Inst, ZA-0001 Pretoria, South Africa..ORCID-id: 0009-0006-6443-4483
Tshwane Univ Technol, FSATI, ZA-0001 Pretoria, South Africa..ORCID-id: 0000-0002-7298-6206
Tshwane Univ Technol, FSATI, ZA-0001 Pretoria, South Africa..ORCID-id: 0000-0001-6060-8200
2015 (engelsk)Inngår i: Proceedings of the 2015 12th IEEE International Conference on Green Innovation for Africon Renaissance (AFRICON), Institute of Electrical and Electronics Engineers (IEEE), 2015Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

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.

sted, utgiver, år, opplag, sider
Institute of Electrical and Electronics Engineers (IEEE), 2015.
Serie
Africon, ISSN 2153-0025
HSV kategori
Identifikatorer
URN: urn:nbn:se:mau:diva-64132DOI: 10.1109/AFRCON.2015.7332055ISI: 000369096500156ISBN: 978-1-4799-7498-6 (tryckt)OAI: oai:DiVA.org:mau-64132DiVA, id: diva2:1817697
Konferanse
12th IEEE International Conference on Green Innovation for Africon Renaissance (AFRICON), SEP 14-17, 2015, Addis Ababa, ETHIOPIA
Tilgjengelig fra: 2023-12-07 Laget: 2023-12-07 Sist oppdatert: 2023-12-07bibliografisk kontrollert

Open Access i DiVA

Fulltekst mangler i DiVA

Andre lenker

Forlagets fulltekst

Person

Mekuria, Fisseha

Søk i DiVA

Av forfatter/redaktør
Mekuria, FissehaMzyece, MjumoDjouani, Karim

Søk utenfor DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric

doi
isbn
urn-nbn
RefereraExporteraLink to record
Permanent link

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