An overview of spectrum occupancy models for cognitive radio networks

Authors:
Miguel López-Benítez;Fernando Casadevall
Affiliations:
Department of Signal Theory and Communications, Universitat Politècnica de Catalunya, Barcelona, Spain;Department of Signal Theory and Communications, Universitat Politècnica de Catalunya, Barcelona, Spain
Venue:
NETWORKING'11 Proceedings of the IFIP TC 6th international conference on Networking
Year:
2011

Citing 8
Cited 0

NeXt generation/dynamic spectrum access/cognitive radio wireless networks: a survey

Computer Networks: The International Journal of Computer and Telecommunications Networking
Dynamic spectrum access in WLAN channels: empirical model and its stochastic analysis

TAPAS '06 Proceedings of the first international workshop on Technology and policy for accessing spectrum
Spatial statistics and models of spectrum use

Computer Communications
A framework for statistical wireless spectrum occupancy modeling

IEEE Transactions on Wireless Communications
Lessons learned from an extensive spectrum occupancy measurement campaign and a stochastic duty cycle model

Mobile Networks and Applications
A measurement-based model for dynamic spectrum access in WLAN channels

MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
COGNITIVE RADIOS FOR DYNAMIC SPECTRUM ACCESS - Dynamic Spectrum Access in the Time Domain: Modeling and Exploiting White Space

IEEE Communications Magazine
Full length article: Empirical time and frequency domain models of spectrum use

Physical Communication

Quantified Score

Hi-index	0.01

Visualization

Abstract

The Dynamic Spectrum Access (DSA) paradigm based on the Cognitive Radio (CR) technology has emerged as a promising solution to conciliate the existing conflicts between spectrum demand growth and current spectrum underutilization without changes to the existing legacy wireless systems. The basic underlying idea of DSA/CR is to allow unlicensed users to access in an opportunistic and non-interfering manner some licensed bands temporarily unused by the licensed users. Due to the opportunistic nature of the DSA/CR paradigm, a realistic and accurate modeling of spectrum occupancy patterns becomes essential in the domain of DSA/CR research. In this context, this paper provides an overview of the existing spectrum occupancy models recently proposed in the literature to characterize the spectrum usage patterns of licensed systems in the time, frequency and space dimensions.