EITN85, FREDRIK TUFVESSON ELECTRICAL AND INFORMATION TECHNOLOGY

Size: px
Start display at page:

Download "EITN85, FREDRIK TUFVESSON ELECTRICAL AND INFORMATION TECHNOLOGY"

Transcription

1 Wireless Communication Channels Lecture 6: Channel Models EITN85, FREDRIK TUFVESSON ELECTRICAL AND INFORMATION TECHNOLOGY Content Modelling methods Okumura-Hata path loss model COST 231 model Indoor models Wideband models COST 27 (GSM model) ITU-R model for 3G Directional channel models Multiantenna (MIMO) models Ray tracing & Ray launching HT218 Wireless Communication Channels 2 1

2 Channel measures HT218 Wireless Communication Channels 3 Modeling methods Stored channel impulse responses realistic reproducible hard to cover all scenarios Deterministic channel models based on Maxwell s equations site specific computationally demanding Stochastic channel models describes the distribution of the field strength etc mainly used for design and system comparisons HT218 Wireless Communication Channels 4 2

3 Narrowband models Review of properties Narrowband models contain only one attenuation, which is modeled as a propagation loss, plus largeand small-scale fading. Path loss: Often proportional to 1/d n, where n is the propagation exponent (n may be different at different distances). Large-scale fading: Log-normal distribution (normal distr. in db scale) Small-scale fading: Rayleigh, Rice, Nakagami distributions... (of amplitudes and not in db-scale) HT218 Wireless Communication Channels 5 Okumura s measurements Extensive measurement campaign in Japan in the 196 s. Parameters varied during measurements: Frequency Distance Mobile station height Base station height Environment 1 3 MHz 1 1 km 1 1 m 2 1 m medium-size city, large city, etc. Propagation loss is given as median values (5% of the time and 5% of the area). Results from these measurements are displayed in figures in the appendix. HT218 Wireless Communication Channels 6 3

4 Okumura s measurements excess loss FIGURE 7.12 in appendix Excess loss [db] Distance [km] These curves are only for h b =2 m and h m =3 m Frequency [MHz] 9 MHz and 3 km distance HT218 Wireless Communication Channels 7 The Okumura-Hata model Background In 198 Hata published a parameterized model, based on Okumura s measurements. The parameterized model has a smaller range of validity than the measurements by Okumura: Frequency Distance Mobile station height Base station height MHz 1 2 km 1 1 m 3 2 m HT218 Wireless Communication Channels 8 4

5 The Okumura-Hata model How to calculate prop. loss Metropolitan areas Small/mediumsize cities Suburban environments Rural areas ( ( hm )) ( ( hm )) ( 1.1log ( f MHz ).7) h ( 1.56 log( f MHz ) -.8) m ( km ) LO - H = A+ Blog d + C A= log ( f MHz) log ( hb) -a( hm) B = log ( hb ) a( h m) = C = 8.29 log for f 2 MHz 3.2 log for f 4 MHz ( f ) ø 2 MHz -2 Ø º log / 28 ß ( f ) ø MHz ( f MHz ) h b and h m in meter Ø º log ß log HT218 Wireless Communication Channels 9 The COST 231-Walfish-Ikegami model The Okumura-Hata model is not suitable for micro cells or small macro cells, due to its restrictions on distance (d > 1 km). The COST 231-Walfish-Ikegami model covers much smaller distances, is better suited for calculations on small cells and covers the 18 MHz band as well. Frequency Distance Mobile station height Base station height 8 2 MHz.2 5 km 1 3 m 4 5 m HT218 Wireless Communication Channels 1 5

6 The COST 231-Walfish-Ikegami model How to calculate prop. loss L= L + Lmsd + Lrts Free space Building multiscreen Roof-top to street BS MS Details about calculations can be found in the appendix. d HT218 Wireless Communication Channels 11 Motley-Keenan indoor model For indoor environments, the attenuation is heavily affected by the building structure, walls and floors play an important rule distance dependent path loss sum of attenuations from walls, 1-2 db/wall sum of attenuation from the floors (often larger than wall attenuation) site specific, since it is valid for a particular case HT218 Wireless Communication Channels 12 6

7 Wideband models Tapped delay line model often used N h t, t = a t exp jq t d t -t ( ) () () i= 1 ( ) ( ) i i i Often Rayleigh-distributed taps, but might include LOS and different distributions of the tap values Mean tap power determined by the power delay profile HT218 Wireless Communication Channels 13 Power delay profile Often described by a single exponential decay P ( t) = sc exp( - t / S ) t t otherwise log( Psc( t )) t delay spread though often there is more than one cluster P( t) = k P S c k c t, k P ( t - t ) t sc c, k otherwise log( Psc ( t )) t HT218 Wireless Communication Channels 14 7

8 arrival time If the bandwidth is high, the time resolution is large so we might resolve the different multipath components Need to model arrival time The Saleh-Valenzuela model: L K hb=> > J k,l bnb? T l?b k,l l= k= cluster arrival time (Poisson) ray arrival time (Poisson) Double-exponential ray power: HT218 Wireless Communication Channels 15 Wideband models COST 27 model for GSM The COST 27 model specifies: FOUR power-delay profiles for different environments. FOUR Doppler spectra used for different delays. It does NOT specify propagation losses for the different environments! HT218 Wireless Communication Channels 16 8

9 -1-2 Wideband models COST 27 model for GSM P [ db] P [ db] -3 t [ ms -3 1 ] t [ ms] -1-2 Four specified power-delay profiles P [ db] RURAL AREA BAD URBAN HT218 Wireless Communication Channels P [ db] -3 t [ ms ] 1 2t [ ms] -1-2 TYPICAL URBAN HILLY TERRAIN Wideband models COST 27 model for GSM Four specified Doppler spectra s (, ) P nt CLASS GAUS1 t.5 ms.5 ms < t 2 ms i i i (, ) P nt s i -n max +n max (, ) P nt s i -n max +n max (, ) P nt s i GAUS2 t 2 ms i RICE > Shortest path in rural areas -n max +n max -n max +n max HT218 Wireless Communication Channels 18 9

10 Wideband models COST 27 model for GSM Doppler spectra: CLASS GAUS1 GAUS P [ db] -3 1 RURAL AREA First tap RICE here -1-2 P [ db] TYPICAL URBAN -3 t [ ms] t [ ms] -1-2 P [ db] BAD URBAN P [ db] -3 t [ ms ] 1 2t [ ms] HT218 Wireless Communication Channels HILLY TERRAIN Transfer function, Typical urban HT218 Wireless Communication Channels 2 1

11 Wideband models ITU-R model for 3G : The ITU-R model specifies: SIX different tapped delay-line channels for three different scenarios (indoor, pedestrian, vehicular). TWO channels per scenario (one short and one long delay spread). TWO different Doppler spectra (uniform & classical), depending on scenario. THREE different models for propagation loss (one for each scenario). The standard deviation of the log-normal shadow fading is specified for each scenario. The autocorrelation of the lognormal shadow fading is specified for the vehicular scenario. HT218 Wireless Communication Channels 21 Wideband models ITU-R model for 3G ns HT218 Wireless Communication Channels 22 11

12 Directional channel models The spatial domain can be used to increase the spectral efficiency of the system Smart antennas MIMO systems Need to know directional properties How many significant reflection points? Which directions? Model incoming angle (direction of arrival) and outgoing angle (direction of departure) to scatterers Model independent of specific antenna pattern HT218 Wireless Communication Channels 23 Double directional impulse response TX position RX position N r h t, r TX, r RX,b,I,H => =1 number of multipath components for these positions h t, r TX, r RX,b,I,H delay direction-of-departure direction-of-arrival h t, r TX, r RX,b,I,H = a e jj Nb?b NI?I NH?H HT218 Wireless Communication Channels 24 12

13 Double directional impulse response with slightly different notation: Time and location is omitted here! HT218 Wireless Communication Channels 25 Physical interpretation W t l Y HT218 Wireless Communication Channels 26 13

14 Angular spread double directional delay power spectrum DDDPSI,H,b =XP s H,I,b,X dx angular delay power spectrum ADPSI,b =XDDDPSH,I,b G MS H dh tl I H angular power spectrum APSI =XAPDSI,b db power P =XAPSIdI HT218 Wireless Communication Channels 27 Geometry-Based Stochastic Channel Model (GSCM) Assign positions for scatterers according to given distributions Derive impulse response given the scatterers and distributions for the signal properties. Used in the COST 259 model, COST 273, COST 21, WINNER 3GPP/3GPP2 HT218 Wireless Communication Channels 28 14

15 Geometry-Based Stochastic Channel Model (GSCM) Create an imaginary map for radio wave scatterers (clusters) Cluster Local cluster MS 2 MS 1 Local cluster BS Courtesey: K. Haneda, Aalto Uni. HT218 Cluster Wireless Communication Channels 29 MIMO channel channel matrix Ø h11( t ) Œ h ( ) = Œ 21 t H ( t ) Œ M Œ Œº hm ( ) Rx 1 t h h h M Rx 2 ( t ) ( t ) M ( t ) L L O L h h h 1M 2M M Rx ( t ) ø Tx ( t ) œ Tx œ M œ œ M ( t ) Tx œß D-1 signal model y() t = H( t) x( t-t) t= HT218 Wireless Communication Channels 3 15

16 Deterministic modeling methods Solve Maxwell s equations with boundary conditions Problems: Data base for environment Computation time Exact solutions Method of moments Finite element method Finite-difference time domain (FDTD) High frequency approximation All waves modeled as rays that behave as in geometrical optics Refinements include approximation to diffraction, diffuse scattering, etc. HT218 Wireless Communication Channels 31 Ray launching TX antenna sends out rays in different directions We follow each ray as it propagates, until it either Reaches the receiver, or Becomes too weak to be relevant Propagation processes Free-space attenuation Reflection Diffraction and diffuse scattering: each interacting object is source of multiple new rays Predicts channel in a whole area (for one TX location) HT218 Wireless Communication Channels 32 16

17 Ray tracing Determines rays that can go from one TX position to one RX position Uses imagining principle Similar to techniques known from computer science Then determine attenuation of all those possible paths HT218 Wireless Communication Channels 33 Example: Ray tracing Required base station power to connect to a WCDMA cell phone. Example from Stuttgart. Courtesey: Awecommunications HT218 Wireless Communication Channels 34 17

18 Example: Ray tracing Coverage for a WCDMA cell phone. Example from Stuttgart. Courtesey: Awecommunications Propagation Models HT218 Wireless Communication Channels 35 18

Channel Modelling ETIM10. Channel models

Channel 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 information

Channel models and antennas

Channel models and antennas RADIO SYSTEMS ETIN15 Lecture no: 4 Channel models and antennas Anders J Johansson, Department of Electrical and Information Technology anders.j.johansson@eit.lth.se 29 March 2017 1 Contents Why do we need

More information

Channel models and antennas

Channel models and antennas RADIO SYSTEMS ETIN15 Lecture no: 4 Channel models and antennas Ove Edfors, Department of Electrical and Information Technology Ove.Edfors@eit.lth.se 2012-03-21 Ove Edfors - ETIN15 1 Contents Why do we

More information

Channel Models. Spring 2017 ELE 492 FUNDAMENTALS OF WIRELESS COMMUNICATIONS 1

Channel Models. Spring 2017 ELE 492 FUNDAMENTALS OF WIRELESS COMMUNICATIONS 1 Channel Models Spring 2017 ELE 492 FUNDAMENTALS OF WIRELESS COMMUNICATIONS 1 Narrowband Channel Models Statistical Approach: Impulse response modeling: A narrowband channel can be represented by an impulse

More information

EITN85, FREDRIK TUFVESSON, JOHAN KÅREDAL ELECTRICAL AND INFORMATION TECHNOLOGY. Why do we need UWB channel models?

EITN85, 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 information

UWB Channel Modeling

UWB 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 information

Channel Modeling ETI 085

Channel 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 information

Channel modelling repetition

Channel modelling repetition Channel Modelling ETIM10 Lecture no: 11 Channel modelling repetition Fredrik Tufvesson Department of Electrical and Information Technology Lund University, Sweden Fredrik.Tufvesson@eit.lth.se 011-03-01

More information

Channel Modelling ETIM10. Propagation mechanisms

Channel 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 information

Channel Modelling ETIN10. Directional channel models and Channel sounding

Channel 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 information

RECOMMENDATION ITU-R P The prediction of the time and the spatial profile for broadband land mobile services using UHF and SHF bands

RECOMMENDATION ITU-R P The prediction of the time and the spatial profile for broadband land mobile services using UHF and SHF bands Rec. ITU-R P.1816 1 RECOMMENDATION ITU-R P.1816 The prediction of the time and the spatial profile for broadband land mobile services using UHF and SHF bands (Question ITU-R 211/3) (2007) Scope The purpose

More information

IEEE Working Group on Mobile Broadband Wireless Access <http://grouper.ieee.org/groups/802/mbwa>

IEEE Working Group on Mobile Broadband Wireless Access <http://grouper.ieee.org/groups/802/mbwa> 2003-01-10 IEEE C802.20-03/09 Project Title IEEE 802.20 Working Group on Mobile Broadband Wireless Access Channel Modeling Suitable for MBWA Date Submitted Source(s)

More information

Revision of Lecture One

Revision 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 information

Project: IEEE P Working Group for Wireless Personal Area Networks N

Project: IEEE P Working Group for Wireless Personal Area Networks N Project: IEEE P82.15 Working Group for Wireless Personal Area Networks N (WPANs( WPANs) Title: [UWB Channel Model for Indoor Residential Environment] Date Submitted: [2 September, 24] Source: [Chia-Chin

More information

Narrow- and wideband channels

Narrow- and wideband channels RADIO SYSTEMS ETIN15 Lecture no: 3 Narrow- and wideband channels Ove Edfors, Department of Electrical and Information technology Ove.Edfors@eit.lth.se 27 March 2017 1 Contents Short review NARROW-BAND

More information

Radio channel modeling: from GSM to LTE

Radio 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 information

Narrow- and wideband channels

Narrow- and wideband channels RADIO SYSTEMS ETIN15 Lecture no: 3 Narrow- and wideband channels Ove Edfors, Department of Electrical and Information technology Ove.Edfors@eit.lth.se 2012-03-19 Ove Edfors - ETIN15 1 Contents Short review

More information

Revision of Lecture One

Revision 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 information

Mobile Radio Propagation Channel Models

Mobile Radio Propagation Channel Models Wireless Information Transmission System Lab. Mobile Radio Propagation Channel Models Institute of Communications Engineering National Sun Yat-sen University Table of Contents Introduction Propagation

More information

The 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. 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 information

Lecture 7/8: UWB Channel. Kommunikations

Lecture 7/8: UWB Channel. Kommunikations Lecture 7/8: UWB Channel Kommunikations Technik UWB Propagation Channel Radio Propagation Channel Model is important for Link level simulation (bit error ratios, block error ratios) Coverage evaluation

More information

Lecture 1 Wireless Channel Models

Lecture 1 Wireless Channel Models MIMO Communication Systems Lecture 1 Wireless Channel Models Prof. Chun-Hung Liu Dept. of Electrical and Computer Engineering National Chiao Tung University Spring 2017 2017/3/2 Lecture 1: Wireless Channel

More information

EITN85, FREDRIK TUFVESSON ELECTRICAL AND INFORMATION TECHNOLOGY

EITN85, 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 information

Empirical Path Loss Models

Empirical Path Loss Models Empirical Path Loss Models 1 Free space and direct plus reflected path loss 2 Hata model 3 Lee model 4 Other models 5 Examples Levis, Johnson, Teixeira (ESL/OSU) Radiowave Propagation August 17, 2018 1

More information

Wireless Physical Layer Concepts: Part III

Wireless Physical Layer Concepts: Part III Wireless Physical Layer Concepts: Part III Raj Jain Professor of CSE Washington University in Saint Louis Saint Louis, MO 63130 Jain@cse.wustl.edu These slides are available on-line at: http://www.cse.wustl.edu/~jain/cse574-08/

More information

Mobile Hata Model and Walkfisch Ikegami

Mobile Hata Model and Walkfisch Ikegami Calculate Path Loss in Transmitter in Global System Mobile By Using Hata Model and Ikegami Essam Ayiad Ashebany 1, Silaiman Khalifa Yakhlef 2 and A. R. Zerek 3 1 Post grade Student, Libyan Academy of Graduate

More information

ECE 476/ECE 501C/CS Wireless Communication Systems Winter Lecture 6: Fading

ECE 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 information

UNIK4230: Mobile Communications Spring 2013

UNIK4230: Mobile Communications Spring 2013 UNIK4230: Mobile Communications Spring 2013 Abul Kaosher abul.kaosher@nsn.com Mobile: 99 27 10 19 1 UNIK4230: Mobile Communications Propagation characteristis of wireless channel Date: 07.02.2013 2 UNIK4230:

More information

ECE 476/ECE 501C/CS Wireless Communication Systems Winter Lecture 6: Fading

ECE 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 information

5 GHz Radio Channel Modeling for WLANs

5 GHz Radio Channel Modeling for WLANs 5 GHz Radio Channel Modeling for WLANs S-72.333 Postgraduate Course in Radio Communications Jarkko Unkeri jarkko.unkeri@hut.fi 54029P 1 Outline Introduction IEEE 802.11a OFDM PHY Large-scale propagation

More information

THE EFFECTS OF NEIGHBORING BUILDINGS ON THE INDOOR WIRELESS CHANNEL AT 2.4 AND 5.8 GHz

THE EFFECTS OF NEIGHBORING BUILDINGS ON THE INDOOR WIRELESS CHANNEL AT 2.4 AND 5.8 GHz THE EFFECTS OF NEIGHBORING BUILDINGS ON THE INDOOR WIRELESS CHANNEL AT.4 AND 5.8 GHz Do-Young Kwak*, Chang-hoon Lee*, Eun-Su Kim*, Seong-Cheol Kim*, and Joonsoo Choi** * Institute of New Media and Communications,

More information

Mobile Radio Wave propagation channel- Path loss Models

Mobile Radio Wave propagation channel- Path loss Models Mobile Radio Wave propagation channel- Path loss Models 3.1 Introduction The wireless Communication is one of the integral parts of society which has been a focal point for sharing information with different

More information

ECE 476/ECE 501C/CS Wireless Communication Systems Winter Lecture 6: Fading

ECE 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 information

Mobile Communications

Mobile Communications Mobile Communications Part IV- Propagation Characteristics Professor Z Ghassemlooy School of Computing, Engineering and Information Sciences University of Northumbria U.K. http://soe.unn.ac.uk/ocr Contents

More information

5G Antenna Design & Network Planning

5G 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 information

Simulation of Outdoor Radio Channel

Simulation of Outdoor Radio Channel Simulation of Outdoor Radio Channel Peter Brída, Ján Dúha Department of Telecommunication, University of Žilina Univerzitná 815/1, 010 6 Žilina Email: brida@fel.utc.sk, duha@fel.utc.sk Abstract Wireless

More information

Application Note. StarMIMO. RX Diversity and MIMO OTA Test Range

Application Note. StarMIMO. RX Diversity and MIMO OTA Test Range Application Note StarMIMO RX Diversity and MIMO OTA Test Range Contents Introduction P. 03 StarMIMO setup P. 04 1/ Multi-probe technology P. 05 Cluster vs Multiple Cluster setups Volume vs Number of probes

More information

Radio propagation modeling on 433 MHz

Radio propagation modeling on 433 MHz Ákos Milánkovich 1, Károly Lendvai 1, Sándor Imre 1, Sándor Szabó 1 1 Budapest University of Technology and Economics, Műegyetem rkp. 3-9. 1111 Budapest, Hungary {milankovich, lendvai, szabos, imre}@hit.bme.hu

More information

EC 551 Telecommunication System Engineering. Mohamed Khedr

EC 551 Telecommunication System Engineering. Mohamed Khedr EC 551 Telecommunication System Engineering Mohamed Khedr http://webmail.aast.edu/~khedr 1 Mohamed Khedr., 2008 Syllabus Tentatively Week 1 Week 2 Week 3 Week 4 Week 5 Week 6 Week 7 Week 8 Week 9 Week

More information

Millimeter Wave Small-Scale Spatial Statistics in an Urban Microcell Scenario

Millimeter Wave Small-Scale Spatial Statistics in an Urban Microcell Scenario Millimeter Wave Small-Scale Spatial Statistics in an Urban Microcell Scenario Shu Sun, Hangsong Yan, George R. MacCartney, Jr., and Theodore S. Rappaport {ss7152,hy942,gmac,tsr}@nyu.edu IEEE International

More information

RRC Vehicular Communications Part II Radio Channel Characterisation

RRC Vehicular Communications Part II Radio Channel Characterisation RRC Vehicular Communications Part II Radio Channel Characterisation Roberto Verdone Slides are provided as supporting tool, they are not a textbook! Outline 1. Fundamentals of Radio Propagation 2. Large

More information

Review of Path Loss models in different environments

Review of Path Loss models in different environments Review of Path Loss models in different environments Mandeep Kaur 1, Deepak Sharma 2 1 Computer Scinece, Kurukshetra Institute of Technology and Management, Kurukshetra 2 H.O.D. of CSE Deptt. Abstract

More information

Elham Torabi Supervisor: Dr. Robert Schober

Elham 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 information

TEMPUS PROJECT JEP Wideband Analysis of the Propagation Channel in Mobile Broadband System

TEMPUS PROJECT JEP Wideband Analysis of the Propagation Channel in Mobile Broadband System Department of Electrical Engineering and Computer Science TEMPUS PROJECT JEP 743-94 Wideband Analysis of the Propagation Channel in Mobile Broadband System Krzysztof Jacek Kurek Final report Supervisor:

More information

Channel Modelling for Beamforming in Cellular Systems

Channel Modelling for Beamforming in Cellular Systems Channel Modelling for Beamforming in Cellular Systems Salman Durrani Department of Engineering, The Australian National University, Canberra. Email: salman.durrani@anu.edu.au DERF June 26 Outline Introduction

More information

Mobile-to-Mobile Wireless Channels

Mobile-to-Mobile Wireless Channels Mobile-to-Mobile Wireless Channels Alenka Zajic ARTECH HOUSE BOSTON LONDON artechhouse.com Contents PREFACE xi ma Inroduction 1 1.1 Mobile-to-Mobile Communication Systems 2 1.1.1 Vehicle-to-Vehicle Communication

More information

Channel Models for IEEE MBWA System Simulations Rev 03

Channel Models for IEEE MBWA System Simulations Rev 03 IEEE C802.20-03/92 IEEE P 802.20 /PD/V Date: Draft 802.20 Permanent Document Channel Models for IEEE 802.20 MBWA System Simulations Rev 03 This document is a Draft

More information

(Refer Slide Time: 00:01:31 min)

(Refer Slide Time: 00:01:31 min) Wireless Communications Dr. Ranjan Bose Department of Electrical Engineering Indian Institute of Technology, Delhi Lecture No. # 12 Mobile Radio Propagation (Continued) We will start today s lecture with

More information

Interference Scenarios and Capacity Performances for Femtocell Networks

Interference Scenarios and Capacity Performances for Femtocell Networks Interference Scenarios and Capacity Performances for Femtocell Networks Esra Aycan, Berna Özbek Electrical and Electronics Engineering Department zmir Institute of Technology, zmir, Turkey esraaycan@iyte.edu.tr,

More information

UWB Small Scale Channel Modeling and System Performance

UWB 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 information

3GPP TR V6.0.0 ( )

3GPP TR V6.0.0 ( ) TR 25.943 V6.0.0 (2004-12) Technical Report 3rd Generation Partnership Project; Technical Specification Group Radio Access Networks; Deployment aspects (Release 6) The present document has been developed

More information

Fading Basics. Narrowband, Wideband, and Spatial Channels. Introduction. White Paper

Fading Basics. Narrowband, Wideband, and Spatial Channels. Introduction. White Paper White Paper Fading Basics Introduction Radio technologies have undergone increasingly rapid evolutionary changes in the recent past. The first cellular phones used narrow-band FM modulation, which was

More information

USMAN RASHID PARAMETRIZATION OF WINNER MODEL AT 60 GHZ

USMAN RASHID PARAMETRIZATION OF WINNER MODEL AT 60 GHZ USMAN RASHID PARAMETRIZATION OF WINNER MODEL AT 60 GHZ Master of Science thesis Examiner: Prof. Markku Renfors Examiner and topic approved by the Faculty Council of the Faculty of Computing and Electrical

More information

Antennas and Propagation. Chapter 6a: Propagation Definitions, Path-based Modeling

Antennas 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 information

Multi-Path Fading Channel

Multi-Path Fading Channel Instructor: Prof. Dr. Noor M. Khan Department of Electronic Engineering, Muhammad Ali Jinnah University, Islamabad Campus, Islamabad, PAKISTAN Ph: +9 (51) 111-878787, Ext. 19 (Office), 186 (Lab) Fax: +9

More information

Recent Developments in Indoor Radiowave Propagation

Recent Developments in Indoor Radiowave Propagation UBC WLAN Group Recent Developments in Indoor Radiowave Propagation David G. Michelson Background and Motivation 1-2 wireless local area networks have been the next great technology for over a decade the

More information

Channel Modelling ETI 085

Channel 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 information

Level 6 Graduate Diploma in Engineering Wireless and mobile communications

Level 6 Graduate Diploma in Engineering Wireless and mobile communications 9210-119 Level 6 Graduate Diploma in Engineering Wireless and mobile communications Sample Paper You should have the following for this examination one answer book non-programmable calculator pen, pencil,

More information

Autumn Main Exam SEAT NUMBER: STUDENTNUMBER: L--- ~~--~--~--~----~--~--L-~ SURNAME: (FAMILY NAME) OTHER NAMES: LECTURER NAME:

Autumn Main Exam SEAT NUMBER: STUDENTNUMBER: L--- ~~--~--~--~----~--~--L-~ SURNAME: (FAMILY NAME) OTHER NAMES: LECTURER NAME: Autumn 216- Main Exam SEAT NUMBER: iuts UNIVERSITY OF TECHNOLOGY SYDNEY STUDENTNUMBER: L--- ~~--~--~--~----~--~--L-~ SURNAME: (FAMILY NAME) OTHER NAMES: LECTURER NAME: This paper and all materials issued

More information

MSIT 413: Wireless Technologies Week 3

MSIT 413: Wireless Technologies Week 3 MSIT 413: Wireless Technologies Week 3 Michael L. Honig Department of EECS Northwestern University January 2016 Why Study Radio Propagation? To determine coverage Can we use the same channels? Must determine

More information

Fundamentals of Wireless Communication

Fundamentals of Wireless Communication Fundamentals of Wireless Communication David Tse University of California, Berkeley Pramod Viswanath University of Illinois, Urbana-Champaign Fundamentals of Wireless Communication, Tse&Viswanath 1. Introduction

More information

The prediction of the time and the spatial profile for broadband land mobile services using UHF and SHF bands

The prediction of the time and the spatial profile for broadband land mobile services using UHF and SHF bands Recommendation ITU-R P.1816-3 (7/15) The prediction of the time and the spatial profile for broadband land mobile services using UHF and SHF bands P Series Radiowave propagation ii Rec. ITU-R P.1816-3

More information

FADING DEPTH EVALUATION IN MOBILE COMMUNICATIONS FROM GSM TO FUTURE MOBILE BROADBAND SYSTEMS

FADING DEPTH EVALUATION IN MOBILE COMMUNICATIONS FROM GSM TO FUTURE MOBILE BROADBAND SYSTEMS FADING DEPTH EVALUATION IN MOBILE COMMUNICATIONS FROM GSM TO FUTURE MOBILE BROADBAND SYSTEMS Filipe D. Cardoso 1,2, Luis M. Correia 2 1 Escola Superior de Tecnologia de Setúbal, Polytechnic Institute of

More information

SUB-BAND ANALYSIS IN UWB RADIO CHANNEL MODELING

SUB-BAND ANALYSIS IN UWB RADIO CHANNEL MODELING SUB-BAND ANALYSIS IN UWB RADIO CHANNEL MODELING Lassi Hentilä Veikko Hovinen Matti Hämäläinen Centre for Wireless Communications Telecommunication Laboratory Centre for Wireless Communications P.O. Box

More information

Power Delay Profile Analysis and Modeling of Industrial Indoor Channels

Power Delay Profile Analysis and Modeling of Industrial Indoor Channels Power Delay Profile Analysis and Modeling of Industrial Indoor Channels Yun Ai 1,2, Michael Cheffena 1, Qihao Li 1,2 1 Faculty of Technology, Economy and Management, Norwegian University of Science and

More information

Ultra Wideband Radio Propagation Measurement, Characterization and Modeling

Ultra Wideband Radio Propagation Measurement, Characterization and Modeling Ultra Wideband Radio Propagation Measurement, Characterization and Modeling Rachid Saadane rachid.saadane@gmail.com GSCM LRIT April 14, 2007 achid Saadane rachid.saadane@gmail.com ( GSCM Ultra Wideband

More information

Transactions on the Built Environment vol 34, 1998 WIT Press, ISSN

Transactions on the Built Environment vol 34, 1998 WIT Press,   ISSN Experimental validation of propagation models for radiocommunications applications in industrial environments M. V. Castro, A. Seoane P., F. P. Fontan, J. Pereda Dpt. of Communications Technologies. University

More information

Wireless Channel Propagation Model Small-scale Fading

Wireless Channel Propagation Model Small-scale Fading Wireless Channel Propagation Model Small-scale Fading Basic Questions T x What will happen if the transmitter - changes transmit power? - changes frequency? - operates at higher speed? Transmit power,

More information

Radio Propagation Measurements and WINNER II Parameterization for a Shopping Mall at GHz

Radio Propagation Measurements and WINNER II Parameterization for a Shopping Mall at GHz Radio Propagation Measurements and WINNER II Parameterization for a Shopping Mall at 61 65 GHz Aki Karttunen, Jan Järveläinen, Afroza Khatun, and Katsuyuki Haneda Aalto University School of Electrical

More information

Investigation of radio waves propagation models in Nigerian rural and sub-urban areas

Investigation of radio waves propagation models in Nigerian rural and sub-urban areas AMERICAN JOURNAL OF SCIENTIFIC AND INDUSTRIAL RESEARCH 2010, Science Huβ, http://www.scihub.org/ajsir ISSN: 2153-649X doi:10.5251/ajsir.2010.1.2.227.232 Investigation of radio waves propagation models

More information

Small-Scale Fading I PROF. MICHAEL TSAI 2011/10/27

Small-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 information

Aalto University School of Electrical Engineering. ELEC-E4750 Radiowave Propagation and Scattering Session 8: Cellular links (1)

Aalto University School of Electrical Engineering. ELEC-E4750 Radiowave Propagation and Scattering Session 8: Cellular links (1) ELEC-E4750 Radiowave Propagation and Scattering Session 8: Cellular links (1) ELEC-E4750 10.11.2016 1 Schedule Wk Date Location New topics, lectures and deadlines 43 44 45 46 47 Tue. 25 Oct. R037/TU3 1194-1195

More information

Channel. Muhammad Ali Jinnah University, Islamabad Campus, Pakistan. Multi-Path Fading. Dr. Noor M Khan EE, MAJU

Channel. Muhammad Ali Jinnah University, Islamabad Campus, Pakistan. Multi-Path Fading. Dr. Noor M Khan EE, MAJU Instructor: Prof. Dr. Noor M. Khan Department of Electronic Engineering, Muhammad Ali Jinnah University, Islamabad Campus, Islamabad, PAKISTAN Ph: +9 (51) 111-878787, Ext. 19 (Office), 186 (Lab) Fax: +9

More information

Muhammad Ali Jinnah University, Islamabad Campus, Pakistan. Fading Channel. Base Station

Muhammad Ali Jinnah University, Islamabad Campus, Pakistan. Fading Channel. Base Station Fading Lecturer: Assoc. Prof. Dr. Noor M Khan Department of Electronic Engineering, Muhammad Ali Jinnah University, Islamabad Campus, Islamabad, PAKISTAN Ph: +9 (51) 111-878787, Ext. 19 (Office), 186 (ARWiC

More information

WIRELESS COMMUNICATION TECHNOLOGIES (16:332:546) LECTURE 5 SMALL SCALE FADING

WIRELESS COMMUNICATION TECHNOLOGIES (16:332:546) LECTURE 5 SMALL SCALE FADING WIRELESS COMMUNICATION TECHNOLOGIES (16:332:546) LECTURE 5 SMALL SCALE FADING Instructor: Dr. Narayan Mandayam Slides: SabarishVivek Sarathy A QUICK RECAP Why is there poor signal reception in urban clutters?

More information

OBSERVED RELATION BETWEEN THE RELATIVE MIMO GAIN AND DISTANCE

OBSERVED 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 information

Written Exam Channel Modeling for Wireless Communications - ETIN10

Written 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 information

Session2 Antennas and Propagation

Session2 Antennas and Propagation Wireless Communication Presented by Dr. Mahmoud Daneshvar Session2 Antennas and Propagation 1. Introduction Types of Anttenas Free space Propagation 2. Propagation modes 3. Transmission Problems 4. Fading

More information

RADIOWAVE PROPAGATION

RADIOWAVE PROPAGATION RADIOWAVE PROPAGATION Physics and Applications CURT A. LEVIS JOEL T. JOHNSON FERNANDO L. TEIXEIRA The cover illustration is part of a figure from R.C. Kirby, "Introduction," Lecture 1 in NBS Course in

More information

The correlated MIMO channel model for IEEE n

The correlated MIMO channel model for IEEE n THE JOURNAL OF CHINA UNIVERSITIES OF POSTS AND TELECOMMUNICATIONS Volume 14, Issue 3, Sepbember 007 YANG Fan, LI Dao-ben The correlated MIMO channel model for IEEE 80.16n CLC number TN99.5 Document A Article

More information

Chapter 2 Channel Equalization

Chapter 2 Channel Equalization Chapter 2 Channel Equalization 2.1 Introduction In wireless communication systems signal experiences distortion due to fading [17]. As signal propagates, it follows multiple paths between transmitter and

More information

Information on the Evaluation of VHF and UHF Terrestrial Cross-Border Frequency Coordination Requests

Information on the Evaluation of VHF and UHF Terrestrial Cross-Border Frequency Coordination Requests Issue 1 May 2013 Spectrum Management and Telecommunications Technical Bulletin Information on the Evaluation of VHF and UHF Terrestrial Cross-Border Frequency Coordination Requests Aussi disponible en

More information

Wireless Communication Technologies Course No. 16:332:559 (Spring 2000) Lecture Lalitha Sankaranarayanan

Wireless Communication Technologies Course No. 16:332:559 (Spring 2000) Lecture Lalitha Sankaranarayanan Wireless Communication Technologies Course No. 6:33:559 (Spring 000) Lecture 0-6-00 Lalitha Sankaranarayanan lalitha@ustad.att.com PATH LOSS IN MACROCELLS: The theoretical model for path loss, L p, for

More information

Study of MIMO channel capacity for IST METRA models

Study of MIMO channel capacity for IST METRA models Study of MIMO channel capacity for IST METRA models Matilde Sánchez Fernández, M a del Pilar Cantarero Recio and Ana García Armada Dept. Signal Theory and Communications University Carlos III of Madrid

More information

RADIO WAVE PROPAGATION AND SMART ANTENNAS FOR WIRELESS COMMUNICATIONS

RADIO WAVE PROPAGATION AND SMART ANTENNAS FOR WIRELESS COMMUNICATIONS RADIO WAVE PROPAGATION AND SMART ANTENNAS FOR WIRELESS COMMUNICATIONS THE KLUWER INTERNATIONAL SERIES IN ENGINEERING AND COMPUTER SCIENCE RADIOWAVE PROPAGATION AND SMART ANTENNAS FOR WIRELESS COMMUNICATIONS

More information

Digital Communications over Fading Channel s

Digital Communications over Fading Channel s over Fading Channel s Instructor: Prof. Dr. Noor M Khan Department of Electronic Engineering, Muhammad Ali Jinnah University, Islamabad Campus, Islamabad, PAKISTAN Ph: +9 (51) 111-878787, Ext. 19 (Office),

More information

Application Note 37. Emulating RF Channel Characteristics

Application Note 37. Emulating RF Channel Characteristics Application Note 37 Emulating RF Channel Characteristics Wireless communication is one of the most demanding applications for the telecommunications equipment designer. Typical signals at the receiver

More information

Path-loss and Shadowing (Large-scale Fading) PROF. MICHAEL TSAI 2015/03/27

Path-loss and Shadowing (Large-scale Fading) PROF. MICHAEL TSAI 2015/03/27 Path-loss and Shadowing (Large-scale Fading) PROF. MICHAEL TSAI 2015/03/27 Multipath 2 3 4 5 Friis Formula TX Antenna RX Antenna = 4 EIRP= Power spatial density 1 4 6 Antenna Aperture = 4 Antenna Aperture=Effective

More information

WiMAX Summit Testing Requirements for Successful WiMAX Deployments. Fanny Mlinarsky. 28-Feb-07

WiMAX Summit Testing Requirements for Successful WiMAX Deployments. Fanny Mlinarsky. 28-Feb-07 WiMAX Summit 2007 Testing Requirements for Successful WiMAX Deployments Fanny Mlinarsky 28-Feb-07 Municipal Multipath Environment www.octoscope.com 2 WiMAX IP-Based Architecture * * Commercial off-the-shelf

More information

Robustness of High-Resolution Channel Parameter. Estimators in the Presence of Dense Multipath. Components

Robustness of High-Resolution Channel Parameter. Estimators in the Presence of Dense Multipath. Components Robustness of High-Resolution Channel Parameter Estimators in the Presence of Dense Multipath Components E. Tanghe, D. P. Gaillot, W. Joseph, M. Liénard, P. Degauque, and L. Martens Abstract: The estimation

More information

Mobile Systems. Course notes Dr Mike Willis Course notes Dr Mike Willis

Mobile Systems. Course notes Dr Mike Willis Course notes Dr Mike Willis Mobile Systems Course notes Dr Mike Willis Course notes Dr Mike Willis Plan In this section we will look in particular at the effects of propagation on systems in the mobile We have covered the mechanisms

More information

MIMO Wireless Communications

MIMO Wireless Communications MIMO Wireless Communications Speaker: Sau-Hsuan Wu Date: 2008 / 07 / 15 Department of Communication Engineering, NCTU Outline 2 2 MIMO wireless channels MIMO transceiver MIMO precoder Outline 3 3 MIMO

More information

Performance Evaluation of Mobile Wireless Communication Channel Gangeshwar Singh 1 Vaseem Khan 2

Performance Evaluation of Mobile Wireless Communication Channel Gangeshwar Singh 1 Vaseem Khan 2 IJSRD - International Journal for Scientific Research & Development Vol. 2, Issue 11, 2015 ISSN (online): 2321-0613 Performance Evaluation of Mobile Wireless Communication Channel Gangeshwar Singh 1 Vaseem

More information

Antennas Multiple antenna systems

Antennas 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 information

Wireless Physical Layer Concepts: Part II

Wireless Physical Layer Concepts: Part II Wireless Physical Layer Concepts: Part II Raj Jain Professor of CSE Washington University in Saint Louis Saint Louis, MO 63130 Jain@cse.wustl.edu Audio/Video recordings of this lecture are available at:

More information

LESSON PLAN. LP-EC1451 LP Rev. No: 02 Sub Code & Name : EC1451 MOBILE COMMUNICATIONS Date: 05/12/2009. Unit: I Branch: EC Semester: VIII Page 01 of 06

LESSON PLAN. LP-EC1451 LP Rev. No: 02 Sub Code & Name : EC1451 MOBILE COMMUNICATIONS Date: 05/12/2009. Unit: I Branch: EC Semester: VIII Page 01 of 06 Unit: I Branch: EC Semester: VIII Page 01 of 06 Unit I Syllabus: Cellular Concept and System Design Fundamentals: Introduction to wireless communication: Evolution of mobile communications, mobile radio

More information

LECTURE 3. Radio Propagation

LECTURE 3. Radio Propagation LECTURE 3 Radio Propagation 2 Simplified model of a digital communication system Source Source Encoder Channel Encoder Modulator Radio Channel Destination Source Decoder Channel Decoder Demod -ulator Components

More information

Performance Evaluation Of Digital Modulation Techniques In Awgn Communication Channel

Performance Evaluation Of Digital Modulation Techniques In Awgn Communication Channel Performance Evaluation Of Digital Modulation Techniques In Awgn Communication Channel Oyetunji S. A 1 and Akinninranye A. A 2 1 Federal University of Technology Akure, Nigeria 2 MTN Nigeria Abstract The

More information

Performance Evaluation of Mobile Wireless Communication Channel in Hilly Area Gangeshwar Singh 1 Kalyan Krishna Awasthi 2 Vaseem Khan 3

Performance Evaluation of Mobile Wireless Communication Channel in Hilly Area Gangeshwar Singh 1 Kalyan Krishna Awasthi 2 Vaseem Khan 3 IJSRD - International Journal for Scientific Research & Development Vol. 2, Issue 11, 2015 ISSN (online): 2321-0613 Performance Evaluation of Mobile Wireless Communication Channel in Area Gangeshwar Singh

More information

CHANNEL MODELS, INTERFERENCE PROBLEMS AND THEIR MITIGATION, DETECTION FOR SPECTRUM MONITORING AND MIMO DIVERSITY

CHANNEL MODELS, INTERFERENCE PROBLEMS AND THEIR MITIGATION, DETECTION FOR SPECTRUM MONITORING AND MIMO DIVERSITY CHANNEL MODELS, INTERFERENCE PROBLEMS AND THEIR MITIGATION, DETECTION FOR SPECTRUM MONITORING AND MIMO DIVERSITY Mike Sablatash Communications Research Centre Ottawa, Ontario, Canada E-mail: mike.sablatash@crc.ca

More information