Phase Transition Diagram for Underlay Heterogeneous Cognitive Radio Networks

Characterizing the topology and therefore fundamental limits is a must to establish effective end-to-end cognitive radio networking (CRN). However, there lacks complete understanding of the relationship among connectivity, interference, latency and other system parameters of the CRN. To clarify this...

Full description

Saved in:
Bibliographic Details
Published in2010 IEEE Global Telecommunications Conference GLOBECOM 2010 pp. 1 - 6
Main Authors Weng Chon Ao, Shin-Ming Cheng, Kwang-Cheng Chen
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2010
Subjects
Online AccessGet full text
ISBN1424456363
9781424456369
ISSN1930-529X
DOI10.1109/GLOCOM.2010.5684228

Cover

More Information
Summary:Characterizing the topology and therefore fundamental limits is a must to establish effective end-to-end cognitive radio networking (CRN). However, there lacks complete understanding of the relationship among connectivity, interference, latency and other system parameters of the CRN. To clarify this complication, by employing tools from both percolation theory and stochastic geometry, we thus provide a novel parametrization of underlay secondary ad hoc CRN wherein the secondary network is regarded as an operating point in the phase space. Coexisting with a primary ad hoc network, the secondary network undergoes a phase transition due to avoiding interference to primary receivers, while being interfered by primary transmitters. Furthermore, transmit power allocation of secondary users is represented by a Pareto contour in the phase space, and the impact of interference on connectivity is captured by the latency-to- percolate. Finally, with the cognitive capability of CR, performance improvement of importing an SU- avoidance region around primary receivers is analyzed, and CRNs can be therefore successfully supplied.
ISBN:1424456363
9781424456369
ISSN:1930-529X
DOI:10.1109/GLOCOM.2010.5684228