Interference and Outage in Poisson Cognitive Networks

Consider a cognitive radio network with two types of users: primary users (PUs) and cognitive users (CUs), whose locations follow two independent Poisson point processes. The cognitive users follow the policy that a cognitive transmitter is active only when it is outside the primary user exclusion r...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on wireless communications 2012-04, Vol.11 (4), p.1392-1401
Main Authors: Chia-han Lee, Haenggi, M.
Format: Article
Language:English
Subjects:
Applied sciences
Clusters
cognitive network
Cognitive radio
Exact sciences and technology
Geometry
Interference
interference modeling
Laplace equations
Laplace transforms
Mathematical models
Networks
Outages
Poisson cluster process
Poisson point process
Radiocommunication specific techniques
Radiocommunications
Rayleigh channels
Receivers
stochastic geometry
Studies
Telecommunications
Telecommunications and information theory
Transmitters
Transmitters. Receivers
Wireless communication
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:Consider a cognitive radio network with two types of users: primary users (PUs) and cognitive users (CUs), whose locations follow two independent Poisson point processes. The cognitive users follow the policy that a cognitive transmitter is active only when it is outside the primary user exclusion regions. We found that under this setup the active cognitive users form a point process called the Poisson hole process. Due to the interaction between the primary users and the cognitive users through exclusion regions, an exact calculation of the interference and the outage probability seems unfeasible. Instead, two different approaches are taken to tackle this problem. First, bounds for the interference (in the form of Laplace transforms) and the outage probability are derived, and second, it is shown how to use a Poisson cluster process to model the interference in this kind of network. Furthermore, the bipolar network model with different exclusion region settings is analyzed.
ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2012.021512.110131