Advanced search ?

Object

Download

Title: Mathematical Foundations of Cognitive Radios, Journal of Telecommunications and Information Technology, 2009, nr 4

Creator:

Couillet, Romain ; Debbah, Merouane

Date:

2009, nr 4

Resource Type:

artykuł

Description:

Recently, much interest has been directed towards software defined radios and embedded intelligence in telecommunication devices. However, no fundamental basis for cognitive radios has ever been proposed. In this paper, we introduce a fundamental vision of cognitive radios from a physical layer viewpoint. Specifically, our motivation in this work is to embed human-like intelligence in mobile wireless devices, following the three century-old work on Bayesian probability theory, the maximum entropy principle and minimal probability update. This allows us to partially answer such questions as, what are the signal detection capabilities of a wireless device, when facing a situation in which most parameters are missing, how to react and so on. As an introductory example, we will present previous works from the same authors following the cognitive framework, and especially the multi-antenna channel modeling and signal sensing.

Publisher:

Instytut Łączności - Państwowy Instytut Badawczy, Warszawa

Format:

application/pdf

Resource Identifier:

oai:bc.itl.waw.pl:482 ; ISSN 1509-4553, on-line: ISSN 1899-8852

DOI:

10.26636/jtit.2009.4.998

ISSN:

1509-4553

eISSN:

1899-8852

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności

Subject and keywords:

Bayesian inference cognitive radio maximum entropy

Object collections:

Last modified:

Feb 25, 2026

In our library since:

Mar 8, 2010

Number of object content hits:

245

All available object's versions:

https://bc.itl.waw.pl/publication/540

Show description in RDF format:

RDF

Show description in OAI-PMH format:

OAI-PMH

Edition name Date
Couillet, Romain; Debbah, Merouane, Mathematical Foundations of Cognitive Radios, Journal of Telecommunications and Information Technology, 2009, nr 4 Feb 25, 2026

Objects Similar
Optimal Voting Rule and Minimization of Total Error Rate in Cooperative Spectrum Sensing for Cognitive Radio Networks, Journal of Telecommunications and Information Technology, 2021, nr 1

Bachan, P. Trankatwar, Sachin Ravikant Ghosh, Samit Kumar

2021, nr 1
artykuł
Implementation of Selected Spectrum Sensing Systems for Cognitive Radio Networks using FPGA Platform, Journal of Telecommunications and Information Technology, 2018, nr 4

Abdullah, Hikmat N. Abed, Hadeel S.

2018, nr 4
artykuł
Cooperative Games with Incomplete Information for Secondary Base Stations in Cognitive Radio Networks, Journal of Telecommunications and Information Technology, 2013, nr 3

Martyna, Jerzy

2013, nr 3
artykuł
Mobility-Aware, Correlation-Based Node Grouping and Selection for Cooperative Spectrum Sensing, Journal of Telecommunications and Information Technology, 2014, nr 2

Bogucka, Hanna Benedetto, Maria Gabriella Di Cichoń, Krzysztof Nardis, Luca De

2014, nr 2
artykuł
2023, nr 3, JTIT-artykuły
2023, nr 3, JTIT-artykuły
An Efficient Cooperative Spectrum Sensing Method Using Renyi Entropy Weighted Optimal Likelihood Ratio for CRN, Journal of Telecommunications and Information Technology, 2023, nr 3

Poshattiwar, Sadhana D. Shrote, Sandip B.

2023, nr 3
artykuł
Optimization of Spectrum Sensing Parameters in Cognitive Radio Using Adaptive Genetic Algorithm, Journal of Telecommunications and Information Technology, 2017, nr 1

Roy, Jibendu Sekhar Bhattacharya, Partha Pratim Dutta, Swaham Chatterjee, Subhajit

2017, nr 1
artykuł
Suboptimal Approach to Distributed Detection in Cognitive Radio Networks, Journal of Telecommunications and Information Technology, 2021, nr 1

Kumari, Shweta Praveena, Sirimilla

2021, nr 1
artykuł
ICBCA – Improved Cluster Based Channel Allocation in Cognitive Radio Sensor Networks, Journal of Telecommunications and Information Technology, 2020, nr 3

Agarkhed, Jayashree Gatate, Veeranna

2020, nr 3
artykuł
More
×

Citation

Citation style:

Contact details

Address

Instytut Łączności – Państwowy Instytut Badawczy ul. Szachowa 1 04-894 Warszawa

Phone

(+48) 5128 696

E-Mail

biblioteka@il-pib.pl

Visit us!

This page uses 'cookies'. More information