1 Introduction to Fading Channels, part 1 Dr. Essam Sourour Alexandria University, Faculty of Engineering, Dept. Of Electrical Engineering.

Slides:



Advertisements
Similar presentations
Chapter 4: Mobile Radio Propagation: Large-Scale Path Loss
Advertisements

7. Channel Models.
Data Communication lecture10
EE359 – Lecture 3 Outline Log Normal Shadowing
Doc.: IEEE /0272r0 Submission February 2011 Ron Porat, Broadcom Outdoor Path Loss Models for ah Date: Authors: Slide 1.
SYSC4607 – Lecture 2 (Cont.) Announcements 1 st Assignment posted, due Thursday, Jan. 18, 4:00 p.m. TA office hours Importance of reading the required.
EE359 – Lecture 2 Outline Announcements 1 st HW posted, due next Thursday at 5pm. Discussion section starts next week (4-5 pm in Y) My OHs today.
Wireless Channel and Models YUN AI. The ‘Mobile Age’ Vatican City, 2005/4/4 Vatican City, 2013/3/12 Source:
EE 6332, Spring, 2014 Wireless Telecommunication Zhu Han Department of Electrical and Computer Engineering Class 2 Jan. 15 th, 2014.
Propagation Characteristics
Ray Tracing A radio signal will typically encounter multiple objects and will be reflected, diffracted, or scattered These are called multipath signal.
Empirical Path Loss Model for Outdoor b Wireless Links.
Lecture 3: Propagation Modelling Anders Västberg
EELE 5490, Fall, 2009 Wireless Communications Ali S. Afana Department of Electrical Engineering Class 6 Dec. 4 th, 2009.
For macrocell Outdoor Propagation Model 1. Okumura Model  wholly based on measured data - no analytical explanation  among the simplest & best for in.
Florida Institute of technologies ECE 5221 Personal Communication Systems Prepared by: Dr. Ivica Kostanic Lecture 5: Example of a macroscopic propagation.
Summary of Path Loss in Propagation
EELE 5490, Fall, 2009 Wireless Communications
1 OUTLINE Motivation Distributed Measurements Importance Sampling Results Conclusions.
Wireless Communication Channels: Large-Scale Pathloss
EEE440 Modern Communication Systems Wireless and Mobile Communications.
Wireless and Mobile Communication Systems Lecture Slide Part 1 Version Mohd Nazri Mahmud.
Propagation characteristics of wireless channels
WIRELESS COMMUNICATIONS Assist.Prof.Dr. Nuray At.
ECE 5221 Personal Communication Systems
Ron Milione Ph.D. W2TAP W2TAP InformationModulatorAmplifier Ant Feedline Transmitter InformationDemodulatorPre-Amplifier Ant Feedline Receiver Filter.
Adapted from Rappaport’s Chapter 4 Mobile Radio Propagation: Large-Scale Path Loss The transmission path between the transmitter and the receiver can vary.
Range for GSM 900, 1800 and WCDMA By Espen Steine.
Large-Scale Path Loss Mobile Radio Propagation:
Cellular Mobile Communication Systems Lecture 2
EE 6332, Spring, 2014 Wireless Communication Zhu Han Department of Electrical and Computer Engineering Class 3 Jan. 22 nd, 2014.
PCS Extension to Hata Model, Walfisch Bertoni Model, Indoor Propagation and Partition Losses
College of Engineering WiFi and WCDMA Network Design Robert Akl, D.Sc. Department of Computer Science and Engineering Robert Akl, D.Sc. Department of Computer.
Propagation Measurements and Models for Wireless Communication Channels 指導教授:黃文傑 老師 學  生:曾凱霖 學  號:M 無線通訊實驗室.
EE 6331, Spring, 2009 Advanced Telecommunication Zhu Han Department of Electrical and Computer Engineering Class 7 Feb. 10 th, 2009.
Path loss & shadowing By eng : mahmoud abdel aziz.
Propagation Models Large scale models predict behavior averaged over distances >>  Function of distance & significant environmental features, roughly.
EE 6331, Spring, 2009 Advanced Telecommunication Zhu Han Department of Electrical and Computer Engineering Class 6 Feb. 5 th, 2009.
EE383 – Lecture 2 Outline Review of Last Lecture Signal Propagation Overview TX and RX Signal Models Complex baseband models Path Loss Models Free-space.
RF Propagation No. 1  Seattle Pacific University Basic RF Transmission Concepts.
EE359 – Lecture 3 Outline Announcements HW posted, due Friday 5pm Discussion section starts tomorrow, 4-5pm, 364 Packard TA OHs start this week mmWave.
Doc.: IEEE /278r1-SG3a Submission 7/04/ :52 PM Saeed S. Ghassemzadeh, Vahid Tarokh Slide 1 Project: IEEE P Working Group for Wireless.
1 Photo: San Onofre Nuclear Generating Station Radio Channel Quality in Industrial Sensor Networks Daniel Sexton, Jay Werb SICon 05 February 9 th 2005.
Wireless communication lectureset: 8
IEEE q Submission Slide 1 Project: IEEE P Working Group for Wireless Personal Area Networks (WPANs) Submission Title: Channel.
1 EMLAB EM wave propagation. 2 EMLAB Impulse response Time Radio Propagation : physical model 안테나에서 나온 신호는 지형지물과 반사, 투과, 산란을 거치면서 다양한 진폭과, 시간 지연을 갖는 신호들로.
ECE637 : Fundamentals of Wireless Communications
Numericals.
Introduction What is communication ?
Shadowing.
Mobile Radio Propagation: Large-Scale Path Loss
Hala Esawi Hana Masri Shorouq Abu Assab Supervised by: Dr.Yousef Dama
EE359 – Lecture 2 Outline Announcements Review of Last Lecture
EE359 – Lecture 3 Outline Announcements Log Normal Shadowing
Radio Coverage Prediction in Picocell Indoor Networks
A Problem in LTE Communication
Pathloss Model Considerations for ah
EE359 – Lecture 3 Outline Announcements Log Normal Shadowing
Report on Channel Model
Modeling wireless propagation
Concept of Power Control in Cellular Communication Channels
Practical Radio Propagation Models
Pathloss and Channel Model Considerations for P802.11ah
Telecommunications Engineering Topic 2: Modulation and FDMA
Chapter 3: Averages and Variation
Radio Propagation Review
EE359 – Lecture 2 Outline Announcements Review of Last Lecture
IPSN19 杨景
Pathloss Model Considerations for ah
Presentation transcript:

1 Introduction to Fading Channels, part 1 Dr. Essam Sourour Alexandria University, Faculty of Engineering, Dept. Of Electrical Engineering

2 Characterization of Fading Channels Large Scale Fading Short Scale Fading Fading Counter Measures Section Overview

3 Two main effects: –Large Scale –Small Scale Large Scale Fading –Depends on environment and topology –Path Loss, Shadowing Small Scale Fading –Faster Changes –Depends on signal parameters Characterization

4 Small Scale and Large Scale Fading Characterization, cont.

5 For Open Areas use Line of Sight (LOS): Path Loss L (in dB) in far field: Loss(dB)  20 log d Loss with distance follows 20 dB/Octave Line of Sight (LOS)

6 Loss(dB)  40 log d Loss with distance follows 40 dB/Octave In General, with many rays Loss(dB)  10  log d The loss exponent  depends on environment 2~3Obstructed in factories3 ~ 5Shadowed Urban 4~6Obstructed in building2.7~3.5Urban 1.6~1.8In-building LOS2Free Space  Environment  Path Loss with Distance

7 Most famous model: Okumura-Hata Okumura made extensive measurements Hata transformed Okumura’s plots to an empirical model Valid for MHz Model takes the effect of –Transmitter height h b in m –receiver height h m in m –frequency f c in MHz –Distance d in km –different environments Hata Propagation Model

8 Hata’s Model

COST 231 Extension to Hata The European Cooperative for Scientific and Technical Research (COST) extended Hata model to 2GHz 9 Valid for 1.5 Ghz<f c <2 GHz, 30 m<h b <200 m and 1 m<h m <10 m

Indoor Propagation Loss (ITU-R P Simple ITU model for WPAN: L(dB) = 20 log(f ) + N log(d) + L f (n) − 28 N =Distance Power Loss Coefficient f =Frequency (MHz) d =Distance (m) between nodes (d > 1) L f =Floor Penetration Loss Factor (dB) n =Number of Floors Penetrated (n > 0) 10

Indoor Model Parameters 11

12 In addition, indoor obstacles add more losses Extensive measurements made. Tables available in literature For example: –Concrete wall, 8 to 15 dB –Concrete floor, 10 dB –Foil insulation, 3.9 dB Indoor Effects

13 Surrounding Environment varies, even at same distance from Tx Path Loss is random, with an average that depends on distance and frequency Distribution, in dB, found to be Gaussian Denoted by Log-Normal Shadowing Over and above loss due to distance Shadowing Loss

14 L(dB)| d = L(dB)| do + 10  log (d/d o ) + X  X  is Gaussian with zero mean and standard deviation   depends on environment, increases with more variations Outdoor:  = 5 ~ 12 dB, typical 8 dB Hence, L(dB) is Gaussian with mean given by any of the distance-based relations, and standard deviation  Shadowing Loss, Cont.

Indoor Shadowing 15 Indoor shadowing standard deviation for ITU-R P model

Total Effect In all previous models the received power at distance Where The value of , K and K do depends on frequency and environment 16

Cell Coverage Area 17 Coverage may be defined as the percentage of the area of the cell that receive power > P min C=covered area inside cell / cell area C  1

Coverage calculation, 1 Received power P rec (x) at any distance r is Gaussian, with: –Mean  dB (r) which depends on r, given by any of the previous relations (LOS, two paths, Hata, or COST-231) –Standard deviation  that depends on location Define F(r) as the probability P rec (x) exceeds P min 18

Coverage calculation, 2 On the average, the part of the area dA with received power > P min is : F (r) dA The total area (yellow part) in the cell with received power > P min is : Hence, the coverage C is given by: 19

Coverage calculation, 3 F(r) can be written as: Using integral (2.58) in textbook, we get 20

Coverage calculation, 4 Note that, without shadowing, the received power at cell border is given by: If we transmit enough power P t such that P rec (at R)=P min, then a=0 and Q(a)=0.5 In this case: Also, if there is no shadowing,  =0, b=  and C=1 21

Homework Please solve the following problems from Chapter 2 of the textbook: Problems: 1, 13, 14, 15, 17, 19, 21, 23, 24, 25 You may use any of the models in the lecture but specify in your answer which propagation model you are using. 22