NDLI: Primary receiver localization using sparsity and interference tweets

Content Provider	IEEE Xplore Digital Library
Author	Dall'Anese, E. Marques, A.G. Giannakis, G.B.
Copyright Year	2013
Description	Author affiliation: Dept. of ECE, Univ. of Minnesota, Minneapolis, MN, USA (Dall'Anese, E.; Giannakis, G.B.) \|\| Dept. of Signal Theor. & Comms., King Juan Carlos Univ., Madrid, Spain (Marques, A.G.)
Abstract	A hierarchical access setup is considered, where secondary users can (re-)use frequency bands allocated to licensed systems, provided ongoing primary communications are not overly disrupted. Since conventional spectrum sensing schemes can detect and localize “active” sources but not “passive” users, the number of primary receivers and their locations are generally unknown. Supposing a minimal coordination between primary and secondary systems, a novel method for unveiling areas where primary receivers are located is proposed in this paper. The primary system broadcasts short messages - here refereed to as “interference tweets” - indicating the number of receivers that are interfered. Using these tweets, together with a grid-based discretization of the primary coverage region, the locations where receivers are likely to reside are obtained by solving a sparse linear regression problem. Subsequently, the estimated locations are used to optimize resource allocation of the secondary network operation under interference constraints.
Sponsorship	IEEE Signal Process. Soc.
Starting Page	452
Ending Page	455
File Size	475672
Page Count	4
File Format	PDF
e-ISBN	9781467331463
DOI	10.1109/CAMSAP.2013.6714105
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-15
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cognitive radios Receivers Interference Vectors sparsity receiver localization Bayes methods Sensors Resource management Indexes underlay access
Content Type	Text
Resource Type	Article

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