IEEE VTS Workshop on Wireless Vehicular Communications, Halmstad, Nov 11, 2015
|
|
- Janis Evans
- 5 years ago
- Views:
Transcription
1 On Multilink Shadowing Effects in Measured V2V Channels on Highway Mikael Nilsson Industrial Ph.D. student - Lund University / Volvo Cars Presented by: Carl Gustafson Post-Doc. - Lund University Mikael G. Nilsson¹, ², Dimitrios Vlastaras¹, Taimoor Abbas¹, Björn Bergqvist², and Fredrik Tufvesson¹ ¹Lund University, Dept. of Electrical and Information Technology, Box 118, SE Lund, Sweden ²Volvo Car Corporation, SE Göteborg, Sweden 1
2 outline Motivation & Contribution The test Results Path loss exponent Coherence time Sample reflective cross-correlation coefficient Summary and Conclusions 9th European Conference on Antennas and Propagation, Lisbon, Portugal, April
3 Motivation & contribution Motivation, Most of the studies by using ITS-G5 or DSRC communication have considered communication between one transmitter (TX) and one receiver (RX), i.e. the single link case. A few studies have considered communication between one TX and several RX or vice versa, i.e. the multilink case. In the multilink case, wireless communication system using multihop techniques, can overcome the issue with shadowed cars in V2V systems. Contribution, the results show that it is essential to consider the correlation of the large scale fading processes in the multilink case, as the correlation coefficients can have both large negative and large positive values. 3
4 The test 4
5 The test cars Test 5
6 The volvo s60 & antenna pattern Test 6
7 Test setup & parameters Test 7
8 Test scenario Test 8
9 results 9
10 path loss exponent estimation The path loss exponent for ordinary Least Squares (LS) estimation is Results But we can make use of the information that the distance to transmitting car is known even though the data packets is not received correctly. Therefore the Maximum Likelihood (ML) estimation was applied and the path loss exponent value is then C. Gustafson, T. Abbas, D. Bolin, and F. Tufvesson, Statistical modeling and estimation of censored path loss data, ArXiv e-prints, [Online]. Available: 10
11 coherence time The auto- and cross-correlation calculation is based on the sample reflective correlation coefficient, where the mean is not subtracted in the calculation of the correlation coefficient. Results As seen in the figure the coherence time for the multilink case in test scenario, Convoy A, can vary from a few seconds up to almost 2 minutes. 11
12 Large scale fading 12
13 cross-correlation 13
14 SUMMARY AND CONCLUSIONS Presented are, initial results of a measurement based analysis on multilink shadowing effects in a highway scenario using V2V communication at 5.9 GHz. Focus in the analysis, Coherence time of the large scale fading process. Sample reflective cross-correlation coefficient for the multilink case. The coherence time can vary from a few seconds up to almost 2 minutes when four cars are driving in a convoy on the highway. So even though that the transceivers transmit with a high repetition rate the receiving car can be shadowed in the range of minutes and will experience long periods with received power levels being much lower than predicted by the path loss model only. 14
15 SUMMARY AND CONCLUSIONS Analysis of the sample reflective cross-correlation coefficients between all links in our setup shows that there are simultaneous positively and negatively correlated links. By using links between cars that receives signals with high power the wireless communication system can overcome the issue with shadowed cars. Multihop techniques, which e.g. are implemented in the ITS-G5 standard, can overcome this issue by relaying the information via another car. The measurements give a clear indication that this approach can be successful. 15
16 Q&A 16
V2x wireless channel modeling for connected cars. Taimoor Abbas Volvo Car Corporations
V2x wireless channel modeling for connected cars Taimoor Abbas Volvo Car Corporations taimoor.abbas@volvocars.com V2X Terminology Background V2N P2N V2P V2V P2I V2I I2N 6/12/2018 SUMMER SCHOOL ON 5G V2X
More informationPathloss Estimation Techniques for Incomplete Channel Measurement Data
Pathloss Estimation Techniques for Incomplete Channel Measurement Data Abbas, Taimoor; Gustafson, Carl; Tufvesson, Fredrik Unpublished: 2014-01-01 Link to publication Citation for published version (APA):
More informationChannel Modelling ETIM10. Propagation mechanisms
Channel Modelling ETIM10 Lecture no: 2 Propagation mechanisms Ghassan Dahman \ Fredrik Tufvesson Department of Electrical and Information Technology Lund University, Sweden 2012-01-20 Fredrik Tufvesson
More informationStress Test Of Vehicular Communication Transceivers Using Software Defined Radio
Stress Test Of Vehicular Communication Transceivers Using Software Defined Radio Vlastaras, Dimitrios; Malkowsky, Steffen; Tufvesson, Fredrik Published in: 81st Vehicular Technology Conference Published:
More informationEITN85, FREDRIK TUFVESSON ELECTRICAL AND INFORMATION TECHNOLOGY
Wireless Communication Channels Lecture 2: Propagation mechanisms EITN85, FREDRIK TUFVESSON ELECTRICAL AND INFORMATION TECHNOLOGY Contents Free space loss Propagation mechanisms Transmission Reflection
More informationWritten Exam Channel Modeling for Wireless Communications - ETIN10
Written Exam Channel Modeling for Wireless Communications - ETIN10 Department of Electrical and Information Technology Lund University 2017-03-13 2.00 PM - 7.00 PM A minimum of 30 out of 60 points are
More informationExperimental Evaluation Scheme of UWB Antenna Performance
Tokyo Tech. Experimental Evaluation Scheme of UWB Antenna Performance Sathaporn PROMWONG Wataru HACHITANI Jun-ichi TAKADA TAKADA-Laboratory Mobile Communication Research Group Graduate School of Science
More informationOn the Predictability of Underwater Acoustic Communications Performance: the KAM11 Data Set as a Case Study
On the Predictability of Underwater Acoustic Communications Performance: the KAM11 Data Set as a Case Study Beatrice Tomasi, Prof. James C. Preisig, Prof. Michele Zorzi Objectives and motivations Underwater
More informationExploiting Vertical Diversity in Vehicular Channel Environments
Exploiting Vertical Diversity in Vehicular Channel Environments Sangho Oh, Sanjit Kaul, Marco Gruteser Electrical & Computer Engineering, Rutgers University, 94 Brett Rd, Piscataway NJ 8854 Email: {sangho,
More informationRevision of Lecture One
Revision of Lecture One System blocks and basic concepts Multiple access, MIMO, space-time Transceiver Wireless Channel Signal/System: Bandpass (Passband) Baseband Baseband complex envelope Linear system:
More informationMeasurements Based Channel Characterization for Vehicle-to-Vehicle Communications at Merging Lanes on Highway
Measurements Based Channel Characterization for Vehicle-to-Vehicle Communications at Merging Lanes on Highway Abbas, Taimoor; Bernado, Laura; Thiel, Andreas; F. Mecklenbräuker, Christoph; Tufvesson, Fredrik
More informationOn Distributed Space-Time Coding Techniques for Cooperative Wireless Networks and their Sensitivity to Frequency Offsets
On Distributed Space-Time Coding Techniques for Cooperative Wireless Networks and their Sensitivity to Frequency Offsets Jan Mietzner, Jan Eick, and Peter A. Hoeher (ICT) University of Kiel, Germany {jm,jei,ph}@tf.uni-kiel.de
More informationCOST 273. Towards Mobile Broadband Multimedia Networks. Luis M. Correia
COST 273 Towards Mobile Broadband Multimedia Networks Luis M. Correia Instituto Telecomunicações/Instituto Superior Técnico Technical University of Lisbon, Portugal Summary Objectives and background Meetings
More informationAntennas Multiple antenna systems
Channel Modelling ETIM10 Lecture no: 8 Antennas Multiple antenna systems Fredrik Tufvesson Department of Electrical and Information Technology Lund University, Sweden Fredrik.Tufvesson@eit.lth.se 2012-02-13
More informationMeasurement Uncertainty, Channel Simulation, and Disturbance Characterization of an Over-the-Air Multi-Probe Setup for Cars at 5.
Measurement Uncertainty, Channel Simulation, and Disturbance Characterization of an Over-the-Air Multi-Probe Setup for Cars at 5.9 GHz Nilsson, Mikael; Hallbjörner, Paul; Arabäck, Niklas; Bergqvist, Björn;
More informationSmall-Scale Fading I PROF. MICHAEL TSAI 2011/10/27
Small-Scale Fading I PROF. MICHAEL TSAI 011/10/7 Multipath Propagation RX just sums up all Multi Path Component (MPC). Multipath Channel Impulse Response An example of the time-varying discrete-time impulse
More informationRadio Channel Measurements at Street Intersections for Vehicle-to-Vehicle Safety Applications
Radio Channel Measurements at Street Intersections for Vehicle-to-Vehicle Safety Applications Johan Karedal, Fredrik Tufvesson, Taimoor Abbas, Oliver Klemp 2, Alexander Paier 3, Laura Bernadó 4, and Andreas
More informationA Measurement Based Shadow Fading Model for Vehicle-to-Vehicle Network Simulations
A Measurement Based Shadow Fading Model for Vehicle-to-Vehicle Network Simulations Taimoor Abbas, Katrin Sjöberg, Johan Karedal and Fredrik Tufvesson arxiv:23.337v5 [cs.ni] 7 Feb 25 Abstract The vehicle-to-vehicle
More informationFILA: Fine-grained Indoor Localization
IEEE 2012 INFOCOM FILA: Fine-grained Indoor Localization Kaishun Wu, Jiang Xiao, Youwen Yi, Min Gao, Lionel M. Ni Hong Kong University of Science and Technology March 29 th, 2012 Outline Introduction Motivation
More informationADVANCED WIRELESS TECHNOLOGIES. Aditya K. Jagannatham Indian Institute of Technology Kanpur
ADVANCED WIRELESS TECHNOLOGIES Aditya K. Jagannatham Indian Institute of Technology Kanpur Wireless Signal Fast Fading The wireless signal can reach the receiver via direct and scattered paths. As a result,
More informationRadio Channel Measurements With Relay Link at 780 MHz in an Outdoor to Indoor Propagation Environment
Radio Channel Measurements With Relay Link at 780 MHz in an Outdoor to Indoor Propagation Environment Essi Suikkanen Centre for Wireless Communications University of Oulu Outline Motivation for the Measurements
More informationEXAM QUESTION EXAMPLES
EXAM QUESTION EXAMPLES ETIN10, CHANNEL MODELING FOR WIRELESS COMMUNICATIONS, 2017 Question 1 This question is regarding the concepts of large-scale and small-scale fading: a) Please give a brief physical
More informationCharacterization of MIMO Channels for Handheld Devices in Personal Area Networks at 5 GHz
Characterization of MIMO Channels for Handheld Devices in Personal Area Networks at 5 GHz Johan Karedal, Anders J Johansson, Fredrik Tufvesson, and Andreas F. Molisch ;2 Dept. of Electroscience, Lund University,
More informationDesign and Test of a High QoS Radio Network for CBTC Systems in Subway Tunnels
Design and Test of a High QoS Radio Network for CBTC Systems in Subway Tunnels C. Cortés Alcalá*, Siyu Lin**, Ruisi He** C. Briso-Rodriguez* *EUIT Telecomunicación. Universidad Politécnica de Madrid, 28031,
More informationDistance Dependent Radiation Patterns in Vehcile-to-Vehicle Communications
SP Technical Research Institute of Sweden Distance Dependent Radiation Patterns in Vehcile-to-Vehicle Communications Kristian Karlsson, Jan Carlsson, Torbjörn Andersson, Magnus Olbäck, Lennart Strandberg,
More informationChannel Modelling ETIN10. Directional channel models and Channel sounding
Channel Modelling ETIN10 Lecture no: 7 Directional channel models and Channel sounding Ghassan Dahman / Fredrik Tufvesson Department of Electrical and Information Technology Lund University, Sweden 2014-02-17
More informationResults from a MIMO Channel Measurement at 300 MHz in an Urban Environment
Measurement at 0 MHz in an Urban Environment Gunnar Eriksson, Peter D. Holm, Sara Linder and Kia Wiklundh Swedish Defence Research Agency P.o. Box 1165 581 11 Linköping Sweden firstname.lastname@foi.se
More informationChannel Modelling ETI 085. Antennas Multiple antenna systems. Antennas in real channels. Lecture no: Important antenna parameters
Channel Modelling ETI 085 Lecture no: 8 Antennas Multiple antenna systems Antennas in real channels One important aspect is how the channel and antenna interact The antenna pattern determines what the
More informationECE 476/ECE 501C/CS Wireless Communication Systems Winter Lecture 6: Fading
ECE 476/ECE 501C/CS 513 - Wireless Communication Systems Winter 2005 Lecture 6: Fading Last lecture: Large scale propagation properties of wireless systems - slowly varying properties that depend primarily
More informationMIMO Channel Measurements for Personal Area Networks
MIMO Channel Measurements for Personal Area Networks Anders J Johansson, Johan Karedal, Fredrik Tufvesson, and Andreas F. Molisch,2 Department of Electroscience, Lund University, Box 8, SE-22 Lund, Sweden,
More informationChannel Modelling ETI 085
Channel Modelling ETI 085 Lecture no: 7 Directional channel models Channel sounding Why directional channel models? The spatial domain can be used to increase the spectral efficiency i of the system Smart
More informationKåredal, Johan; Johansson, Anders J; Tufvesson, Fredrik; Molisch, Andreas
Shadowing effects in MIMO channels for personal area networks Kåredal, Johan; Johansson, Anders J; Tufvesson, Fredrik; Molisch, Andreas Published in: [Host publication title missing] DOI:.9/VTCF.26.47
More informationWireless technologies Test systems
Wireless technologies Test systems 8 Test systems for V2X communications Future automated vehicles will be wirelessly networked with their environment and will therefore be able to preventively respond
More informationECE 476/ECE 501C/CS Wireless Communication Systems Winter Lecture 6: Fading
ECE 476/ECE 501C/CS 513 - Wireless Communication Systems Winter 2003 Lecture 6: Fading Last lecture: Large scale propagation properties of wireless systems - slowly varying properties that depend primarily
More informationMeasurement Based Shadow Fading Model for Vehicle-to-Vehicle Network Simulations
1 Measurement Based Shadow Fading Model for Vehicle-to-Vehicle Network Simulations Taimoor Abbas, Student Member, IEEE, Fredrik Tufvesson, Senior Member, IEEE, Katrin Sjöberg, Student Member, IEEE, and
More informationChannel Modeling ETI 085
Channel Modeling ETI 085 Overview Lecture no: 9 What is Ultra-Wideband (UWB)? Why do we need UWB channel models? UWB Channel Modeling UWB channel modeling Standardized UWB channel models Fredrik Tufvesson
More informationDescription of Vehicle-to-Vehicle and Vehicle-to-Infrastructure Radio Channel Measurements at 5.2 GHz
MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Description of Vehicle-to-Vehicle and Vehicle-to-Infrastructure Radio Channel Measurements at 5.2 GHz Alexander Paier, Johan Karedal, Thomas
More informationPART 1 RECOMMENDATION ITU-R P.1144 GUIDE TO THE APPLICATION OF THE PROPAGATION METHODS OF RADIOCOMMUNICATION STUDY GROUP 3
Rec. ITU-R P.1144 1 PART 1 SECTION P-A: TEXTS OF GENERAL INTEREST Rec. ITU-R P.1144 RECOMMENDATION ITU-R P.1144 GUIDE TO THE APPLICATION OF THE PROPAGATION METHODS OF RADIOCOMMUNICATION STUDY GROUP 3 (1995)
More informationShadow Fading Model for Vehicle-to-Vehicle Network Simulators
Shadow Fading Model for Vehicle-to-Vehicle Network Simulators Abbas, Taimoor; Kåredal, Johan; Tufvesson, Fredrik Published in: [Host publication title missing] Published: 212-1-1 Link to publication Citation
More informationThe ideal omnidirectional reference antenna should be modelled as a roofantenna at height 1.3 m for comparison. SCOPE AUTHORS
COVER STORY Simulation and Test 26 AUTHORS Dr. Dieter Kreuer is Associate und Key Account Manager at the Qosmotec GmbH in Aachen (Germany). Mark Hakim is Managing Director at the Qosmotec GmbH in Aachen
More informationMobile Broadband Multimedia Networks
Mobile Broadband Multimedia Networks Techniques, Models and Tools for 4G Edited by Luis M. Correia v c» -''Vi JP^^fte«jfc-iaSfllto ELSEVIER AMSTERDAM BOSTON HEIDELBERG LONDON NEW YORK OXFORD PARIS SAN
More informationCooperation in Random Access Wireless Networks
Cooperation in Random Access Wireless Networks Presented by: Frank Prihoda Advisor: Dr. Athina Petropulu Communications and Signal Processing Laboratory (CSPL) Electrical and Computer Engineering Department
More information5.9 GHz V2X Modem Performance Challenges with Vehicle Integration
5.9 GHz V2X Modem Performance Challenges with Vehicle Integration October 15th, 2014 Background V2V DSRC Why do the research? Based on 802.11p MAC PHY ad-hoc network topology at 5.9 GHz. Effective Isotropic
More informationUniversity of Bristol - Explore Bristol Research. Peer reviewed version. Link to publication record in Explore Bristol Research PDF-document
Beach, M. A., Eneroth, P., Foo, S. E., Johansson, J., Karlsson, P., Lindmark, B., & McNamara, D. P. (2001). Description of a frequency division duplex measurement trial in the UTRA frequency band in urban
More information1. MIMO capacity basics
Introduction to MIMO: Antennas & Propagation aspects Björn Lindmark. MIMO capacity basics. Physical interpretation of the channel matrix Example x in free space 3. Free space vs. multipath: when is scattering
More informationUWB based Positioning
Master s Thesis UWB based Positioning by Chunguang Jiang and Jiao Pan Department of Electrical and Information Technology Faculty of Engineering, LTH, Lund University SE-221 00 Lund, Sweden Abstract Radio-based
More informationECE 476/ECE 501C/CS Wireless Communication Systems Winter Lecture 6: Fading
ECE 476/ECE 501C/CS 513 - Wireless Communication Systems Winter 2004 Lecture 6: Fading Last lecture: Large scale propagation properties of wireless systems - slowly varying properties that depend primarily
More informationCHAPTER 2 WIRELESS CHANNEL
CHAPTER 2 WIRELESS CHANNEL 2.1 INTRODUCTION In mobile radio channel there is certain fundamental limitation on the performance of wireless communication system. There are many obstructions between transmitter
More informationdoc.: IEEE thz_Channel_Characteristics_Study_100GHz_300GHz
Project: IEEE P802.15 Working Group for Wireless Personal Area Networks (WPANs) Submission Title: Channel Characteristics Study for Future Indoor Millimeter And Submillimeter Wireless Communications Date
More informationCar-to-car radio channel measurements at 5 GHz: Pathloss, power-delay profile, and delay-doppler spectrum
Car-to-car radio channel measurements at 5 GHz: Pathloss, power-delay profile, and delay-doppler spectrum Alexander Paier 1, Johan Karedal 4, Nicolai Czink 1,2, Helmut Hofstetter 3, Charlotte Dumard 2,
More informationPropagation Channels. Chapter Path Loss
Chapter 9 Propagation Channels The transmit and receive antennas in the systems we have analyzed in earlier chapters have been in free space with no other objects present. In a practical communication
More informationCross-correlation Characteristics of Multi-link Channel based on Channel Measurements at 3.7GHz
Cross-correlation Characteristics of Multi-link Channel based on Channel Measurements at 3.7GHz Myung-Don Kim*, Jae Joon Park*, Hyun Kyu Chung* and Xuefeng Yin** *Wireless Telecommunications Research Department,
More informationThe Radio Channel. COS 463: Wireless Networks Lecture 14 Kyle Jamieson. [Parts adapted from I. Darwazeh, A. Goldsmith, T. Rappaport, P.
The Radio Channel COS 463: Wireless Networks Lecture 14 Kyle Jamieson [Parts adapted from I. Darwazeh, A. Goldsmith, T. Rappaport, P. Steenkiste] Motivation The radio channel is what limits most radio
More informationSelected answers * Problem set 6
Selected answers * Problem set 6 Wireless Communications, 2nd Ed 243/212 2 (the second one) GSM channel correlation across a burst A time slot in GSM has a length of 15625 bit-times (577 ) Of these, 825
More informationWireless TDMA Mesh Networks
Wireless TDMA Mesh Networks Vinay Ribeiro Department of Computer Science and Engineering IIT Delhi Outline What are mesh networks Applications of wireless mesh Quality-of-service Design and development
More informationUWB Small Scale Channel Modeling and System Performance
UWB Small Scale Channel Modeling and System Performance David R. McKinstry and R. Michael Buehrer Mobile and Portable Radio Research Group Virginia Tech Blacksburg, VA, USA {dmckinst, buehrer}@vt.edu Abstract
More informationNetwork Design Considerations and Deployment Concerns for a Ground Aircraft Communication System
Network Design Considerations and Deployment Concerns for a Ground Aircraft Communication System CelPlan Technologies Leonhard Korowajczuk CEO/CTO Leonhard @celplan.com 703-259-4022 www.celplan.com 9/10/2013
More informationUWB Channel Modeling
Channel Modeling ETIN10 Lecture no: 9 UWB Channel Modeling Fredrik Tufvesson & Johan Kåredal, Department of Electrical and Information Technology fredrik.tufvesson@eit.lth.se 2011-02-21 Fredrik Tufvesson
More informationIndoor Positioning using IMU and Radio Reciever
1 / 30 Mannesson et al., Indoor Positioning using IMU and Radio Reciever Indoor Positioning using IMU and Radio Reciever Anders Mannesson 1 Muhammad Atif Yaqoob 2 Bo Bernhardsson 1 Fredrik Tufvesson 2
More informationIntroduction to wireless systems
Introduction to wireless systems Wireless Systems a.a. 2014/2015 Un. of Rome La Sapienza Chiara Petrioli Department of Computer Science University of Rome Sapienza Italy Background- Wireless Systems What
More informationMIMO I: Spatial Diversity
MIMO I: Spatial Diversity COS 463: Wireless Networks Lecture 16 Kyle Jamieson [Parts adapted from D. Halperin et al., T. Rappaport] What is MIMO, and why? Multiple-Input, Multiple-Output (MIMO) communications
More informationCar-to-Car Radio Channel Measurements at 5 GHz: Pathloss, Power-Delay Profile, and Delay-Doppler Sprectrum
MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Car-to-Car Radio Channel Measurements at 5 GHz: Pathloss, Power-Delay Profile, and Delay-Doppler Sprectrum Alexander Paier, Johan Karedal,
More informationTechnical Aspects of LTE Part I: OFDM
Technical Aspects of LTE Part I: OFDM By Mohammad Movahhedian, Ph.D., MIET, MIEEE m.movahhedian@mci.ir ITU regional workshop on Long-Term Evolution 9-11 Dec. 2013 Outline Motivation for LTE LTE Network
More informationRay-Tracing Analysis of an Indoor Passive Localization System
EUROPEAN COOPERATION IN THE FIELD OF SCIENTIFIC AND TECHNICAL RESEARCH EURO-COST IC1004 TD(12)03066 Barcelona, Spain 8-10 February, 2012 SOURCE: Department of Telecommunications, AGH University of Science
More informationDesign of mmwave massive MIMO cellular systems
Design of mmwave massive MIMO cellular systems Abbas Kazerouni and Mainak Chowdhury Faculty mentor: Andrea Goldsmith Wireless Systems Lab, Stanford University March 23, 2015 Future cellular networks Higher
More informationA Measurement Based Shadow Fading Model for Vehicle-to-Vehicle Network Simulations
A Measurement Based Shadow Fading Model for Vehicle-to-Vehicle Network Simulations Abbas, Taimoor; Sjöberg, Katrin; Kåredal, Johan; Tufvesson, Fredrik Published in: International Journal of Antennas and
More informationReconfigurable Hybrid Beamforming Architecture for Millimeter Wave Radio: A Tradeoff between MIMO Diversity and Beamforming Directivity
Reconfigurable Hybrid Beamforming Architecture for Millimeter Wave Radio: A Tradeoff between MIMO Diversity and Beamforming Directivity Hybrid beamforming (HBF), employing precoding/beamforming technologies
More informationRevision of Lecture One
Revision of Lecture One System block Transceiver Wireless Channel Signal / System: Bandpass (Passband) Baseband Baseband complex envelope Linear system: complex (baseband) channel impulse response Channel:
More informationAntennas and Propagation. Chapter 6a: Propagation Definitions, Path-based Modeling
Antennas and Propagation a: Propagation Definitions, Path-based Modeling Introduction Propagation How signals from antennas interact with environment Goal: model channel connecting TX and RX Antennas and
More informationRadio channel modeling: from GSM to LTE
Radio channel modeling: from GSM to LTE and beyond Alain Sibille Telecom ParisTech Comelec / RFM Outline Introduction: why do we need channel models? Basics Narrow band channels Wideband channels MIMO
More informationEITN85, FREDRIK TUFVESSON, JOHAN KÅREDAL ELECTRICAL AND INFORMATION TECHNOLOGY. Why do we need UWB channel models?
Wireless Communication Channels Lecture 9:UWB Channel Modeling EITN85, FREDRIK TUFVESSON, JOHAN KÅREDAL ELECTRICAL AND INFORMATION TECHNOLOGY Overview What is Ultra-Wideband (UWB)? Why do we need UWB channel
More information5G Antenna Design & Network Planning
5G Antenna Design & Network Planning Challenges for 5G 5G Service and Scenario Requirements Massive growth in mobile data demand (1000x capacity) Higher data rates per user (10x) Massive growth of connected
More informationElham Torabi Supervisor: Dr. Robert Schober
Low-Rate Ultra-Wideband Low-Power for Wireless Personal Communication Area Networks Channel Models and Signaling Schemes Department of Electrical & Computer Engineering The University of British Columbia
More informationCORRELATION FOR MULTI-FREQUENCY PROPAGA- TION IN URBAN ENVIRONMENTS. 3 Place du Levant, Louvain-la-Neuve 1348, Belgium
Progress In Electromagnetics Research Letters, Vol. 29, 151 156, 2012 CORRELATION FOR MULTI-FREQUENCY PROPAGA- TION IN URBAN ENVIRONMENTS B. Van Laethem 1, F. Quitin 1, 2, F. Bellens 1, 3, C. Oestges 2,
More informationProject: IEEE P Working Group for Wireless Personal Area Networks (WPANs)
Project: IEEE P802.15 Working Group for Wireless Personal Area Networks (WPANs) Title: [Sleeping channel measurements for body area networks] Date Submitted: [November, 2009] Source: [Dino Miniutti 12,
More informationGeometry-Based Propagation Modeling and Simulation of Vehicle-to-Infrastructure Links
Geometry-Based Propagation Modeling and Simulation of Vehicle-to-Infrastructure Links Bengi Aygun, Mate Boban, Joao P. Vilela, and Alexander M. Wyglinski Department of Electrical and Computer Engineering,
More informationNode Density Estimation in VANETs Using Received Signal Power
RADIOENGINEERING, VOL. 24, NO. 2, JUNE 2015 489 Node Density Estimation in VANETs Using Received Signal Power Golnar KHOMAMI 1, Prakash VEERARAGHAVAN 1, Fernando Pérez FONTÁN 2 1 Dept. of Computer Science
More informationOpportunistic Vehicular Networks by Satellite Links for Safety Applications
1 Opportunistic Vehicular Networks by Satellite Links for Safety Applications A.M. Vegni, C. Vegni, and T.D.C. Little Outline 2 o o o Opportunistic Networking as traditional connectivity in VANETs. Limitation
More informationAnalysis of RF requirements for Active Antenna System
212 7th International ICST Conference on Communications and Networking in China (CHINACOM) Analysis of RF requirements for Active Antenna System Rong Zhou Department of Wireless Research Huawei Technology
More informationEE360: Lecture 6 Outline MUD/MIMO in Cellular Systems
EE360: Lecture 6 Outline MUD/MIMO in Cellular Systems Announcements Project proposals due today Makeup lecture tomorrow Feb 2, 5-6:15, Gates 100 Multiuser Detection in cellular MIMO in Cellular Multiuser
More informationOBSERVED RELATION BETWEEN THE RELATIVE MIMO GAIN AND DISTANCE
OBSERVED RELATION BETWEEN THE RELATIVE MIMO GAIN AND DISTANCE B.W.Martijn Kuipers and Luís M. Correia Instituto Superior Técnico/Instituto de Telecomunicações - Technical University of Lisbon (TUL) Av.
More informationAdvanced Architectures for Self- Interference Cancellation in Full-Duplex Radios: Algorithms and Measurements
Advanced Architectures for Self- Interference Cancellation in Full-Duplex Radios: Algorithms and Measurements Dani Korpi, Mona AghababaeeTafreshi, Mauno Piililä, Lauri Anttila, Mikko Valkama Department
More informationMIMO Systems and Applications
MIMO Systems and Applications Mário Marques da Silva marques.silva@ieee.org 1 Outline Introduction System Characterization for MIMO types Space-Time Block Coding (open loop) Selective Transmit Diversity
More informationPresented at IEICE TR (AP )
Sounding Presented at IEICE TR (AP 2007-02) MIMO Radio Seminar, Mobile Communications Research Group 07 June 2007 Takada Laboratory Department of International Development Engineering Graduate School of
More informationCorrelation properties of large scale fading based on indoor measurements
Correlation properties of large scale fading based on indoor measurements Niklas Jaldén, Per Zetterberg, Björn Ottersten Signal Processing, Wireless@KTH, S3 Royal institute of Technology 44 Stockholm Email:
More informationExperimental Characterization and Modeling of Outdoor-to-Indoor and Indoor-to-Indoor Distributed Channels
EUROPEAN COOPERATION IN THE FIELD OF SCIENTIFIC AND TECHNICAL RESEARCH EURO-COST SOURCE: Microwave Laboratory, Université catholique de Louvain, Louvain-la-Neuve, Belgium 2 Forschungszentrum Telekommunikation
More informationContextual Pedestrian-to-Vehicle DSRC Communication
Contextual Pedestrian-to-Vehicle DSRC Communication Ali Rostami, Bin Cheng, Hongsheng Lu, John B. Kenney, and Marco Gruteser WINLAB, Rutgers University, USA Toyota InfoTechnology Center, USA December 2016
More informationMeasured propagation characteristics for very-large MIMO at 2.6 GHz
Measured propagation characteristics for very-large MIMO at 2.6 GHz Gao, Xiang; Tufvesson, Fredrik; Edfors, Ove; Rusek, Fredrik Published in: [Host publication title missing] Published: 2012-01-01 Link
More informationLong Term Evolution (LTE) and 5th Generation Mobile Networks (5G) CS-539 Mobile Networks and Computing
Long Term Evolution (LTE) and 5th Generation Mobile Networks (5G) Long Term Evolution (LTE) What is LTE? LTE is the next generation of Mobile broadband technology Data Rates up to 100Mbps Next level of
More informationRECOMMENDATION ITU-R P Guide to the application of the propagation methods of Radiocommunication Study Group 3
Rec. ITU-R P.1144-2 1 RECOMMENDATION ITU-R P.1144-2 Guide to the application of the propagation methods of Radiocommunication Study Group 3 (1995-1999-2001) The ITU Radiocommunication Assembly, considering
More informationCalibration Concepts of Multi-Channel Spaceborne SAR
DLR.de Chart 1 > CEOS Workshop 2016 > Tobias Rommel > September 7 th, 2016 Calibration Concepts of Multi-Channel Spaceborne SAR T. Rommel, F. Queiroz de Almeida, S. Huber, M. Jäger, G. Krieger, C. Laux,
More informationA Measurement-Based Path Loss Model for Mobile-to- Mobile Link Reliability Estimation
, pp.21-26 http://dx.doi.org/10.14257/astl.2016.123.05 A Measurement-Based Path Loss Model for Mobile-to- Mobile Link Reliability Estimation Fuquan Zhang 1*, Inwhee Joe 2,Demin Gao 1 and Yunfei Liu 1 1
More informationState and Path Analysis of RSSI in Indoor Environment
2009 International Conference on Machine Learning and Computing IPCSIT vol.3 (2011) (2011) IACSIT Press, Singapore State and Path Analysis of RSSI in Indoor Environment Chuan-Chin Pu 1, Hoon-Jae Lee 2
More informationChannel Modelling ETIM10. Channel models
Channel Modelling ETIM10 Lecture no: 6 Channel models Fredrik Tufvesson Department of Electrical and Information Technology Lund University, Sweden Fredrik.Tufvesson@eit.lth.se 2012-02-03 Fredrik Tufvesson
More informationTechnical Challenges of Wireless Networks PROF. MICHAEL TSAI 2011/9/22
Technical Challenges of Wireless Networks PROF. MICHAEL TSAI 2011/9/22 1 Comparison of Wired & Wireless Communications Wired Communications Time-invariant Medium Adding capacity is easy (add a new cable)
More informationTransmit Diversity Schemes for CDMA-2000
1 of 5 Transmit Diversity Schemes for CDMA-2000 Dinesh Rajan Rice University 6100 Main St. Houston, TX 77005 dinesh@rice.edu Steven D. Gray Nokia Research Center 6000, Connection Dr. Irving, TX 75240 steven.gray@nokia.com
More informationUniversity of Bristol - Explore Bristol Research. Peer reviewed version. Link to publication record in Explore Bristol Research PDF-document
Abdullah, NF., Piechocki, RJ., & Doufexi, A. (2010). Spatial diversity for IEEE 802.11p V2V safety broadcast in a highway environment. In ITU Workshop on Fully Networked Car, Geneva International Telecommunication
More informationPerformance Evaluation of STBC-OFDM System for Wireless Communication
Performance Evaluation of STBC-OFDM System for Wireless Communication Apeksha Deshmukh, Prof. Dr. M. D. Kokate Department of E&TC, K.K.W.I.E.R. College, Nasik, apeksha19may@gmail.com Abstract In this paper
More informationSignal Reliability Improvement Using Selection Combining Based Macro-Diversity for Off-Body Communications At 868 MHz
Signal Reliability Improvement Using Selection Combining Based Macro-Diversity for Off-Body Communications At 868 MHz Yoo, S. K., Cotton, S. L., McKernan, A., & Scanlon, W. G. (2015). Signal Reliability
More information2. LITERATURE REVIEW
2. LITERATURE REVIEW In this section, a brief review of literature on Performance of Antenna Diversity Techniques, Alamouti Coding Scheme, WiMAX Broadband Wireless Access Technology, Mobile WiMAX Technology,
More information