Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Geo-location Spectrum Opportunities Database in Downlink Radar Bands for OFDM Based Cognitive Radios
University of Gävle, Center for RF Measurement Technologies. University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences. (Electronics)
University of Gävle, Center for RF Measurement Technologies. University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences. (Electronics)ORCID iD: 0000-0001-5429-7223
2011 (English)Conference paper, Published paper (Refereed)
Abstract [en]

In this paper a model to investigate the spectrum opportunities for cognitive radio networks in three radar frequency bands L, S and C at a specific location is introduced. We consider underlay unaware spectrum sharing model. The Secondary System we assume is an OFDM based system. The followed strategy is built upon defining a specific co or adjacent channel as a spectrum opportunity if -and only if- the interference generated by the secondary system occupying that channel  into the radar system is less than the permissible interference defined by the value of Interference to Noise ratio (INR) and the radar receiver inherited noise level. The simulation results show that for the same transmission parameters C band offer more spectrum opportunities than S band which is itself offers more spectrum opportunities than L band.

Place, publisher, year, edition, pages
UK: IEEE UK&RI , 2011. 39-43 p.
Keyword [en]
Geo-location based spectrum sharing ; interference tolerance; downlink radar bands; INR; co and adjacent-channel interference
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:hig:diva-9817OAI: oai:DiVA.org:hig-9817DiVA: diva2:432314
Conference
IEEE Conference on Communication, Science & Information Engineering CCSIE 2011 IEEE CCSIE 2011
Projects
QUASAR
Available from: 2011-09-01 Created: 2011-08-02 Last updated: 2016-08-10Bibliographically approved
In thesis
1. On Finding Spectrum Opportunities in Cognitive Radios: Spectrum Sensing and Geo-locations Database
Open this publication in new window or tab >>On Finding Spectrum Opportunities in Cognitive Radios: Spectrum Sensing and Geo-locations Database
2013 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

The spectacular growth in wireless services imposes scarcity in term of the available radio spectrum. A solution to overcome this scarcity is to adopt what so called cognitive radio based on dynamic spectrum access. With dynamic spectrum access, secondary (unlicensed) users can access spectrum owned by primary (licensed) users when it is temporally and/or geographically unused. This unused spectrum is termed as spectrum opportunity. Finding these spectrum opportunities related aspects are studied in this thesis where two approaches of finding spectrum opportunities, namely spectrum sensing and geo-locations databases are considered.

In spectrum sensing arena, two topics are covered, blind spectrum sensing and sensing time and periodic sensing interval optimization. For blind spectrum sensing, a spectrum scanner based on maximum minimum eigenvalues detector and frequency domain rectangular filtering is developed. The measurements show that the proposed scanner outperforms the energy detector scanner in terms of the probability of detection. Continuing in blind spectrum sensing, a novel blind spectrum sensing technique based on discriminant analysis called spectrum discriminator has been developed in this thesis. Spectrum discriminator has been further developed to peel off multiple primary users with different transmission power from a wideband sensed spectrum. The spectrum discriminator performance is measured and compared with the maximum minimum eigenvalues detector in terms of the probability of false alarm, the probability of detection and the sensing time.

For sensing time and periodic sensing interval optimization, a new approach that aims at maximizing the probability of right detection, the transmission efficiency and the captured opportunities is proposed and simulated. The proposed approach optimizes the sensing time and the periodic sensing interval iteratively. Additionally, the periodic sensing intervals for multiple channels are optimized to achieve as low sensing overhead and unexplored opportunities as possible for a multi channels system.

The thesis considers radar bands and TV broadcasting bands to adopt geo-locations databases for spectrum opportunities. For radar bands, the possibility of spectrum sharing with secondary users in L, S and C bands is investigated. The simulation results show that band sharing is possible with more spectrum opportunities offered by C band than S and L band which comes as the least one. For the TV broadcasting bands, the thesis treats the power assignment for secondary users operate in Gävle area, Sweden. Furthermore, the interference that the TV transmitter would cause to the secondary users is measured in different locations in the same area.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2013. 78 p.
National Category
Communication Systems
Identifiers
urn:nbn:se:hig:diva-13644 (URN)
Presentation
2013-02-07, 99:132, University of Gävle, Kungsbäacksvägen 47, Gävle, 15:51 (English)
Opponent
Supervisors
Available from: 2013-09-15 Created: 2013-01-11 Last updated: 2016-08-10Bibliographically approved

Open Access in DiVA

Geo-location Spectrum Opportunities Radar Bands(259 kB)999 downloads
File information
File name FULLTEXT02.pdfFile size 259 kBChecksum SHA-512
cfcbecad9628a1db50637375c10036cbd5b16ed094a3ad861916f8796087dea7314498fd14d8081d9e02e561780cdb30c81d07d48fa45af22e2048d1e6647c17
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Hamid, MohamedBjörsell, Niclas
By organisation
Center for RF Measurement TechnologiesDepartment of Electronics, Mathematics and Natural Sciences
Telecommunications

Search outside of DiVA

GoogleGoogle Scholar
Total: 999 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 1239 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf