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114416

ADAPTIVE SPECTRUM SENSING IN COGNITIVE RADIO NETWORKS

Article

Last updated: 04 Jan 2025

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Subjects

-

Tags

Electrical Engineering, Computer Engineering and Electrical power and machines engineering.

Abstract

It is becoming increasingly evident that cognitive radio (CR) users in CR networks acting in uncertain dynamical environments often employ exact or approximate Bayesian statistical calculations in order to continuously estimate the channel states. In this work we propose a prediction/filtering channel state estimation model capable of exactly implementing Bayesian state estimation and prediction from input point process measurements in real time. This setup is ideally suited to real CR networks. The results suggest that our model is useful for improving the performance of the sensing mechanism in practical CR environment.

DOI

10.21608/jesaun.2012.114416

Keywords

Cognitive radio networks, Adaptive sensing, Channel activity estimation, Hypotheses testing

Authors

First Name

Gamal Abdel Fadeel

Last Name

Mohammed

MiddleName

-

Affiliation

Electronics, Communications and Computer Engineering Department, Faculty of Engineering, Helwan, Cairo, Egypt

Email

gam_hel@yahoo.com

City

-

Orcid

-

Volume

40

Article Issue

No 3

Related Issue

16850

Issue Date

2012-05-01

Receive Date

2012-02-02

Publish Date

2012-05-01

Page Start

867

Page End

875

Print ISSN

1687-0530

Online ISSN

2356-8550

Article File

JESAUN_Volume 40_Issue No 3_Pages 867-875.pdf

PDF . 227.0kB

Link

https://jesaun.journals.ekb.eg/article_114416.html

Detail API

https://jesaun.journals.ekb.eg/service?article_code=114416

Order

15

Type

Research Paper

Type Code

1,438

Publication Type

Journal

Publication Title

JES. Journal of Engineering Sciences

Publication Link

https://jesaun.journals.ekb.eg/

MainTitle

ADAPTIVE SPECTRUM SENSING IN COGNITIVE RADIO NETWORKS

Details

Type

Article

Created At

23 Jan 2023