NDLI: Learning in vehicular dynamic spectrum access networks: Opportunities and challenges

Content Provider	IEEE Xplore Digital Library
Author	Si Chen Vuyyuru, R. Altintas, O. Wyglinski, A.M.
Copyright Year	2011
Description	Author affiliation: Department of Electrical and Computer Engineering, Worcester Polytechnic Institute, MA 01609, USA (Si Chen; Wyglinski, A.M.) \|\| Research & Development Division Wireless Communications Group, Toyota InfoTechnology Center, Co., Ltd. Tokyo, 107-0052 Japan (Altintas, O.) \|\| Toyota InfoTechnology Center USA, Mountain View, CA 94043, USA (Vuyyuru, R.)
Abstract	In this paper, we discuss various ways of incorporating machine learning techniques in the area of dynamic spectrum access, especially in vehicle communications, how learning can benefit multiple applications in vehicle communications, and the specific requirements on the implementation in this field. In particular, we describe an architecture for optimizing the overall performance of vehicular dynamic spectrum access (VDSA) networks. Due to the high level of mobility for vehicles operating under highway conditions, coupled with spatially variant spectrum allocation across a large geographical region, we envision that future vehicular communications will employ a form of dynamic spectrum access (DSA) in order to facilitate wireless transmissions between vehicles and with roadside infrastructure. Moreover, the VDSA concept will be realized via a combination of software-defined radio (SDR) technology, spectral occupancy databases, and machine learning techniques for enabling network automation. A vehicular networking scenario possesses the potential to be substantially different relative to a generic mobile scenario with respect to the particular type of mobility involved, the predictable trajectories of the vehicular traffic, and the overall scale of the network range. Consequently, this architecture is designed to enable VDSA in a more flexible wireless spectrum environment by leveraging the cognitive radio concept and existing wireless spectrum databases actively being developed while simultaneously being compatible with current spectrum regulations.
Starting Page	1
Ending Page	6
File Size	710860
Page Count	6
File Format	PDF
ISBN	9781457721656
e-ISBN	9781457721663
DOI	10.1109/ISPACS.2011.6146215
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-07
Publisher Place	Thailand
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	TV Sensors
Content Type	Text
Resource Type	Article

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