Interference Aggregation in Spectrum-Sensing Cognitive Wireless Networks

The increasing demand for the radio spectrum along with the inefficient usage of the licensed bands has led the regulatory bodies to consider opening up the under-utilized licensed frequency bands for dynamic access by unlicensed users. Such dynamic spectrum access is envisioned to resolve the spect...

Full description

Saved in:
Bibliographic Details
Published in:IEEE journal of selected topics in signal processing 2008-02, Vol.2 (1), p.41-56
Main Authors: Ghasemi, A., Sousa, E.S.
Format: Article
Language:English
Subjects:
Agglomeration
Aggregate interference
Aggregates
Cognitive radio
Detection
Dynamics
FCC
Frequency
Interference
Licenses
Mathematical models
Networks
Power system modeling
Radio
Radio networks
Radio spectrum management
Spectrum allocation
spectrum sensing
White spaces
Wireless networks
Wireless sensor networks
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The increasing demand for the radio spectrum along with the inefficient usage of the licensed bands has led the regulatory bodies to consider opening up the under-utilized licensed frequency bands for dynamic access by unlicensed users. Such dynamic spectrum access is envisioned to resolve the spectrum scarcity by allowing unlicensed users to opportunistically utilize the white spaces across the licensed spectrum on a non-interfering basis. Cognitive radio networks offer a promising realization of this novel paradigm, thanks to their ability to autonomously identify the white spaces through spectrum sensing. Implementation of such networks, however, requires a model translating the regulatory constraint on the aggregate interference to the system-and device-level design parameters. In this paper a statistical model of interference aggregation in spectrum-sensing cognitive radio networks is developed. In particular, distribution of the aggregate interference is characterized in terms of parameters such as sensitivity, transmitted power, and density of the cognitive radios as well as the underlying propagation environment. The model is further extended to account for the effect of cooperative spectrum sensing on the distribution of the aggregate interference.
ISSN:1932-4553
1941-0484
DOI:10.1109/JSTSP.2007.914897