NDLI: A new cross-layer design strategy for TV White Space Cognitive Radio applications

Content Provider	IEEE Xplore Digital Library
Author	Martin, J.H. Dooley, L.S. Wong, K.C.P.
Copyright Year	2011
Description	Author affiliation: Dept. of Communication & Systems, The Open University, Milton Keynes, MK7 6AA, United Kingdom (Dooley, L.S.; Wong, K.C.P.) \|\| Alcatel-Lucent Telecom Limited, Coldra Woods, Newport, South Wales, NP18 2YB, UK (Martin, J.H.)
Abstract	Conventional single layer processing in Cognitive Radio Networks (CRN) can incur significant time costs in transferring information between the various layers of the Open System Interconnection (OSI) model, due its innate sequential structure. This is especially a problem for CRN which usually only has a narrow time window to access spectral gaps of either licensed or other secondary users (SU). To exploit this opportunity, cross layer processing (CLP) paradigms that share information between OSI layers and the radio system have been proposed to maximise throughput for SU, while maintaining Quality of Service (QoS) provision to the licensed primary user. With the global transference of TV systems to digital platforms, regulatory bodies have identified an opportunity to allocate additional digital TV (DTV) channels to CRNs on a localised basis, in what is called TV White Space (TVWS). This paper investigates how CLP of information can be effectively exploited to enhance CRN system performance by making key channel allocations to minimise disruption to the spectrum environment, while maximising available resources to fulfil application and network requirements within TVWS.
Starting Page	1
Ending Page	5
File Size	232937
Page Count	5
File Format	PDF
ISBN	9781457715686
e-ISBN	9781457715709
e-ISBN	9781457715693
DOI	10.1109/IWCLD.2011.6123084
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-30
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Radio frequency Fuzzy logic Open systems Sensors Detection algorithms Digital TV
Content Type	Text
Resource Type	Article

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