'Spectrum sensing' diaporamas de présentation

Compressive Sensing For Lidar and Cognitive Radio Applications

Compressive Sensing For Lidar and Cognitive Radio Applications. Presented by: Zhu Han Wireless Networking, Signal Processing & Security Lab University of Houston, USA CR work is supported by NSF ECCS-1028782. Agenda. Part I: Introduction to Compressive Sensing Part II: Applications

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Spectrum Sensing and Allocation Techniques for Cognitive Radios

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NeXt Generation Wireless Networks: Smart Radios

NeXt Generation Wireless Networks: Smart Radios. Suzan Bayhan bayhan@boun.edu.tr http://satlab.cmpe.boun.edu.tr http://www.cmpe.boun.edu.tr//~bayhan. Outline. Problem Definition & Motivation Software Defined Radio + Cognitive Radio Standardization What about Satellites?

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Cognitive Radio and Networking Research at Virginia Tech

Cognitive Radio and Networking Research at Virginia Tech. S-88.4221 Postgraduate seminar on signal Processing I Sami Kallioinen. Outline. This presentation is an overview of research work what has been done in Virginia Tech Focus Introduction and motivation

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Performance Analysis of Energy Detector in Relay Based Cognitive Radio Networks

Performance Analysis of Energy Detector in Relay Based Cognitive Radio Networks. Saman Atapattu Chintha Tellambura Hai Jiang. Outline. Introduction System model Detection analysis Upper bound ROC curves Conclusions. Heavy Use. Heavy Use. Less than 6-10% Occupancy. Sparse Use.

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System Design for Cognitive Radio Communications

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Using Classification to Protect the Integrity of Spectrum Measurements in White Space Networks

Using Classification to Protect the Integrity of Spectrum Measurements in White Space Networks. Omid Fatemieh , Ali Farhadi , Ranveer Chandra*, Carl A. Gunter University of Illinois at Urbana-Champaign *Microsoft Research Network and Distributed System Security Symposium (NDSS)

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Multistage Spectrum Sensing for Cognitive Radios

Multistage Spectrum Sensing for Cognitive Radios. UCLA CORES. Outline. Introduction Problem Statement Proposal Markov Chain Model Results. Introduction to Spectrum Sensing. Spectral Vacancy. Spectral Vacancy. Spectral Vacancy. The Frequency Spectrum is mostly allocated

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Fuzzy-based Spectrum Handoff in Cognitive Radio Networks

3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CrownCom), 2008. Fuzzy-based Spectrum Handoff in Cognitive Radio Networks. Giupponi, L. Centre Tecnol. de Telecomunicacions de Catalunya, Castelldefels (Barcelona), Spain Perez-Neira, A.I.

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Spectrum Sensing In Cognitive Radio Networks

Spectrum Sensing In Cognitive Radio Networks. Spectrum Scarcity. Rapid development in wireless communication applications has increased the demand on available wireless spectrum Traditionally the available spectrum is statically allocated by frequency regulation bodies

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INTRODUCTION

INTRODUCTION. Cognitive radio (CR) is one of the new long term developments taking place and radio receiver and radio communications technology.

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CR Wideband Spectrum Sensing Baseband Progress Report 05/29/2009

CR Wideband Spectrum Sensing Baseband Progress Report 05/29/2009. Tsung-Han Yu thyu0918@ee.ucla.edu. Outline. Motivation System specification Weak signal detection Sideband power estimation Conclusion. Motivation. Why cognitive radio Growing demand on spectrum utilization

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TV white space FCC action

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Low Cost and Secure Smart Meter Communications using the TV White Spaces

Low Cost and Secure Smart Meter Communications using the TV White Spaces. Omid Fatemieh (UIUC ) Ranveer Chandra ( Microsoft Research) Carl A. Gunter (UIUC). Advanced Meter Infrastructure (AMI). AMI: integral part of smart grid

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Update on European/UK Regulatory situation on cognitive access in the White Spaces

Update on European/UK Regulatory situation on cognitive access in the White Spaces. Andy Gowans/Mika Kasslin/Rich Kennedy March 2011. Overview. Where we are in the Europe/UK Update on Conclusions so far in Europe/UK Next steps towards implementation. The story so far in Europe.

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802.11 WNG Presentation: 6-9GHz extensions to 802.11, Part 2

802.11 WNG Presentation: 6-9GHz extensions to 802.11, Part 2. Date: 2012-01-17. Authors:. Abstract.

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Spectrum Sensing for Wireless Networks

Waseda University Ph.D Academy. Spectrum Sensing for Wireless Networks. Bingxuan ZHAO Wireless Communication and Satellite Communication Project II Shimamoto Laboratory, GITS zhaobx@fuji.waseda.jp. Outline. Introduction Cooperative Spectrum Sensing Conclusion of the Dissertation.

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Spectrum Awareness in Cognitive Radio Systems based on Spectrum Sensing

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DSA system for 2.4GHz ISM Band

DSA system for 2.4GHz ISM Band. Date: 2011-05-10. Authors:. Abstract. ISM band becomes more and more crowded because of many equipments with WLAN and Bluetooth systems. DSA system is proposed as a solution to enhance the efficiency of spectrum use.

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Spectrum Sensing with Software Radios

Progress Presentation. Spectrum Sensing with Software Radios. Team members: Eun Kim, Suen Guy Min, and Matt Dolter Advisor: Dr. Zhengdao Wang Group: May-1006. Project Plan. 1 st Semester Spent most of the time learning Cognitive Radio, USRP, GNURadio , Linux, Python

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