scispace - formally typeset
Journal ArticleDOI

A Survey on Spectrum Occupancy Measurement for Cognitive Radio

TLDR
This paper studies the various spectrum occupancy models used in diverse locations by research campaigns worldwide and evaluates up to what percentage the whole spectrum band is occupied by different services.
Abstract
In order to support the ever growing demand of wireless communication systems and wireless local area network based 802.11 devices, the regulators are developing techniques to overcome the permanent scarcity of radio resources. Spectrum sensing in cognitive radio (CR) is considered as a key technology which estimates the availability of the licensed spectrum band for additional usages. The underutilized licensed band can be exploited among the secondary users provided that they would not cause any interference to the primary user. So, evaluation of spectrum occupancy is the main approach towards the successful deployment of CR. This paper studies the various spectrum occupancy models used in diverse locations by research campaigns worldwide. The detail analyses of the empirical results in different scenarios of measurement have been compared. The purpose of this survey is to evaluate up to what percentage the whole spectrum band is occupied by different services.

read more

Citations
More filters
Journal ArticleDOI

Spectrum handoff in cognitive radio networks

TL;DR: A detailed classification and comprehensive survey of existing spectrum handoff schemes for cognitive radio networks is presented and various research issues and challenges are presented which require the attention of the researchers.
Journal ArticleDOI

Progression on spectrum sensing for cognitive radio networks: A survey, classification, challenges and future research issues

TL;DR: This paper provides the current state of the art in survey-style and a taxonomy of the relevant work with detailed classification and mathematical modeling of various spectrum sensing schemes for complete cognitive cycle in an informational fashion.
Journal ArticleDOI

Comprehensive Survey of Machine Learning Approaches in Cognitive Radio-Based Vehicular Ad Hoc Networks

TL;DR: An overview of ML, CR, VANET, and CR-VANET is presented, including their architectures, functions, challenges, and open issues, and insights into the use of ML for autonomous or driver-less vehicles are presented.
Journal ArticleDOI

Spectrum-Occupancy Aware Cooperative Spectrum Sensing Using Adaptive Detection

TL;DR: The analytical results corroborated by Monte Carlo simulation show that using adaptive detection can reduce the PSSE significantly as compared to the conventional detection approach.
Journal ArticleDOI

A Spectrum Handoff Scheme for Optimal Network Selection in NEMO Based Cognitive Radio Vehicular Networks

TL;DR: Numerical results reveal that the proposed scheme is effective for spectrum handoff decision for optimal network selection with reduced complexity in NEMO based CR vehicular networks.
References
More filters
Journal ArticleDOI

Cognitive radio: brain-empowered wireless communications

TL;DR: Following the discussion of interference temperature as a new metric for the quantification and management of interference, the paper addresses three fundamental cognitive tasks: radio-scene analysis, channel-state estimation and predictive modeling, and the emergent behavior of cognitive radio.
Proceedings ArticleDOI

Implementation issues in spectrum sensing for cognitive radios

TL;DR: To improve radio sensitivity of the sensing function through processing gain, three digital signal processing techniques are investigated: matched filtering, energy detection and cyclostationary feature detection.
Journal ArticleDOI

Eigenvalue-based spectrum sensing algorithms for cognitive radio

TL;DR: New sensing methods based on the eigenvalues of the covariance matrix of signals received at the secondary users can be used for various signal detection applications without requiring the knowledge of signal, channel and noise power.
Posted Content

Eigenvalue based Spectrum Sensing Algorithms for Cognitive Radio

TL;DR: In this article, the eigenvalues of the covariance matrix of signals received at the secondary users are used for signal detection in cognitive radio systems, and the proposed methods overcome the noise uncertainty problem, and can even perform better than the ideal energy detection when the signals to be detected are highly correlated.
Proceedings ArticleDOI

Chicago spectrum occupancy measurements & analysis and a long-term studies proposal

TL;DR: In this paper, the authors describe spectrum occupancy measurements performed in Chicago, IL in November 2005 and propose long-term studies in multiple locations including Washington, DC, and New York City.
Related Papers (5)