NDLI: Experimental Validation of a Distributed Algorithm for Dynamic Spectrum Access in Local Area Networks

Content Provider	IEEE Xplore Digital Library
Author	Tonelli, O. Berardinelli, G. Tavares, F.M.L. Cattoni, A.F. Kovacs, I.Z. Sorensen, T.B. Popovski, P. Mogensen, P.E.
Copyright Year	2013
Description	Author affiliation: Nokia Siemens Networks, Aalborg, Denmark (Kovacs, I.Z.) \|\| Dept. of Electron. Syst., Aalborg Univ., Aalborg, Denmark (Tonelli, O.; Berardinelli, G.; Tavares, F.M.L.; Cattoni, A.F.; Sorensen, T.B.; Popovski, P.; Mogensen, P.E.)
Abstract	Next generation wireless networks aim at a significant improvement of the spectral efficiency in order to meet the dramatic increase in data service demand. In local area scenarios user- deployed base stations are expected to take place, thus making the centralized planning of frequency resources among the cells, a non-viable solution. Cognitive Radio (CR) and Dynamic Spectrum Access (DSA) are the research paradigms which are expected to provide the network nodes the capabilities for an autonomous and efficient selection of the spectrum resources. In this paper we present the first experimental activities with the Autonomous Component Carrier Selection (ACCS) algorithm, a distributed solution for interference management among small neighboring cells. A preliminary evaluation of the algorithm performance is provided considering its live execution on a software defined radio network testbed. The obtained experimental results confirm the performance trends obtained from prior simulation studies. The analysis in dynamic environment conditions also allowed identifying the utilization of static thresholds in the decision making process, as a critical aspect for the optimization of network capacity.
Sponsorship	IEEE Vehicular Technol. Soc.
Starting Page	1
Ending Page	5
File Size	532705
Page Count	5
File Format	PDF
ISBN	9781467363372
ISSN	15502252
DOI	10.1109/VTCSpring.2013.6692557
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-06-02
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Interference Heuristic algorithms Resource management Algorithm design and analysis Channel capacity Sensors Couplings
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Electrical and Electronic Engineering Computer Science Applications

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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