NDLI: Exploring opportunistic access techniques using stochastic models: Dynamic spectrum access without sensing

Content Provider	IEEE Xplore Digital Library
Author	Nasreddine, J. Riihijarvi, J. Xia Li Mahonen, P.
Copyright Year	2011
Description	Author affiliation: Institute for Networked Systems, RWTH Aachen University, Kackertstrasse 9, D-52072, Germany (Nasreddine, J.; Riihijarvi, J.; Xia Li; Mahonen, P.)
Abstract	In this paper we explore the use of stochastic approaches for opportunistic access based on models of primary user activity. We focus in particular on a scenario where the secondary user does not perform traditional sensing at all, but relies only on statistical information of primary transmissions. Using techniques from the theory of alternating renewal processes we show that, for different primary user constraints, simple statistical transmission schemes exist based on selecting sufficiently low transmission probability for the secondary user. We describe the general framework for deriving the required results, and give a detailed case study assuming that the primary transmitter activity patterns follow exponential distributions. The results for the exponential case show that limited but stable capacity can be achieved by the secondary user for any primary activity level. We also discuss the possible usage scenarios for such statistical approaches, focusing on situations in which traditional sensing is challenging due to high level of dynamics in the environment.
Starting Page	1053
Ending Page	1060
File Size	543314
Page Count	8
File Format	PDF
ISBN	9781467300797
ISSN	21557578
e-ISBN	9781467300810
DOI	10.1109/MILCOM.2011.6127436
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Measurement Base stations Sensors Transmitters Stochastic processes Quality of service Receivers
Content Type	Text
Resource Type	Article

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