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Distributed Diffusion LMS based Energy Detection
KTH, Skolan för elektro- och systemteknik (EES), Signalbehandling. KTH, Skolan för elektro- och systemteknik (EES), Centra, ACCESS Linnaeus Centre. Tallinn Univ. of Technol., Tallinn, Estonia.
Tallinn Univ. of Technol., Tallinn, Estonia.
KTH, Skolan för elektro- och systemteknik (EES), Signalbehandling. KTH, Skolan för elektro- och systemteknik (EES), Centra, ACCESS Linnaeus Centre.ORCID-id: 0000-0002-3599-5584
2014 (Engelska)Ingår i: Proceedings of 6th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2014, 2014, s. 176-183Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Cognitive radio (CR) is seen as a promising technology to make radio spectrum usage more effective by providing an opportunistic access for secondary users to the licensed spectrum areas. CR systems need to detect the presence of a primary user (PU) signal by continuously sensing the spectrum area of interest. Radiowave propagation effects like fading and shadowing often complicate sensing of spectrum holes because the PU signal can be weak in a particular area. Cooperative spectrum sensing is seen as a prospective solution to enhance the detection of PU signals. This paper studies distributed spectrum sensing in a cognitive radio context. We investigate distributed energy detection schemes without using any fusion center. We propose the usage of distributed, diffusion least mean square (LMS) type of power estimation algorithms. In this paper an Adapt and Combine (ATC) diffusion based power estimation scheme is proposed and the performance is compared with the Combine and Adapt (CTA) and ring-around schemes in a common framework. The PU signal is assumed to be slowly fading. We analyse the resulting energy detection performance and verify the theoretical findings through simulations.

Ort, förlag, år, upplaga, sidor
2014. s. 176-183
Nyckelord [en]
Cognitive radio, distributed estimation, diffusion LMS, diffusion networks, distributed detection, energy detection
Nationell ämneskategori
Signalbehandling
Forskningsämne
Elektro- och systemteknik
Identifikatorer
URN: urn:nbn:se:kth:diva-163722DOI: 10.1109/ICUMT.2014.7002099OAI: oai:DiVA.org:kth-163722DiVA, id: diva2:802190
Konferens
6th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2014
Anmärkning

QC 20150414

Tillgänglig från: 2015-04-11 Skapad: 2015-04-11 Senast uppdaterad: 2015-04-14Bibliografiskt granskad

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Bengtsson, Mats

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