dc.contributor.author |
Alfa, Attahiru Sule
|
|
dc.contributor.author |
Pla, V.
|
|
dc.contributor.author |
Martinez-Bauset, J.
|
|
dc.contributor.author |
Casares-Giner, V.
|
|
dc.date.accessioned |
2016-08-05T06:33:09Z |
|
dc.date.issued |
2016-04 |
|
dc.description.abstract |
Sensing is one of the most challenging issues in cognitive radio networks. Selection of sensing parameters raises
several tradeoffs between spectral efficiency, energy efficiency and interference caused to primary users (PUs). In this
paper we provide representative mathematical models that can be used to analyze sensing strategies under a wide range
of conditions. The activity of PUs in a licensed channel is modeled as a sequence of busy and idle periods, which are
represented as alternating Markov phase renewal processes. The representation of the secondary users (SUs) behavior
is also largely general: the duration of transmissions, sensing periods and the intervals between consecutive sensing
periods are modeled by phase type distributions, which constitute a very versatile class of distributions. Expressions
for several key performance measures in cognitive radio networks are obtained from the analysis of the model. Most
notably, we derive the distribution of the length of an effective white space; the distributions of the waiting times until
the SU transmits a given amount of data, through several transmission epochs or uninterruptedly; and the goodput
when an interrupted SU transmission has to be restarted from the beginning due to the presence of a PU. |
en_ZA |
dc.description.department |
Electrical, Electronic and Computer Engineering |
en_ZA |
dc.description.embargo |
2017-04-30 |
|
dc.description.librarian |
hb2016 |
en_ZA |
dc.description.sponsorship |
The research of A. S. Alfa was partially supported by the NSERC (Natural Sciences and Engineering Research
Council) of Canada under Grant G00315156. Most of the contribution of V. Pla was done while visiting the University
of Manitoba. This visit was supported by the Ministerio de Educacion of Spain under grant PR2011-0055, and by the
UPV through the Programa de Apoyo a la Investigacion y Desarrollo (PAID-00-12). The research of the authors from
the Universitat Politecnica de Valencia was partially supported by the Ministry of Economy and Competitiveness of
Spain under Grant TIN2013-47272-C2-1-R. |
en_ZA |
dc.description.uri |
http://www.sciencedirect.com/science/journal/01403664 |
en_ZA |
dc.identifier.citation |
Alfa, AS, Pla, V, Martinez-Bauset, J & Casares-Giner, V 2016, 'Discrete time analysis of cognitive radio networks with imperfect sensing and saturated source of secondary users', Computer Communications, vol. 79, pp. 53-65. |
en_ZA |
dc.identifier.issn |
0140-3664 |
|
dc.identifier.other |
10.1016/j.comcom.2015.11.012 |
|
dc.identifier.uri |
http://hdl.handle.net/2263/56204 |
|
dc.language.iso |
en |
en_ZA |
dc.publisher |
Elsevier |
en_ZA |
dc.rights |
© 2015 Elsevier B.V. All rights reserved. Notice : this is the author’s version of a work that was accepted for publication in Computer Communications. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Computer Communications, vol. 79, pp. 53-65, 2016. doi : 10.1016/j.comcom.2015.11.012. |
en_ZA |
dc.subject |
Cognitive radio (CR) |
en_ZA |
dc.subject |
Sensing |
en_ZA |
dc.subject |
Performance modeling |
en_ZA |
dc.subject |
Discrete time Markov model |
en_ZA |
dc.subject |
Phase type distribution |
en_ZA |
dc.subject |
Primary users (PUs) |
en_ZA |
dc.title |
Discrete time analysis of cognitive radio networks with imperfect sensing and saturated source of secondary users |
en_ZA |
dc.type |
Postprint Article |
en_ZA |