EE 6331, Spring, 2009 Advanced Telecommunication Zhu Han Department of Electrical and Computer Engineering Class 7 Feb. 10 th, 2009.

Slides:



Advertisements
Similar presentations
1. Introduction.
Advertisements

OFDM Transmission over Wideband Channel
Mobile Communications
Data Communication lecture10
S Digital Communication Systems Multipath Radio Channel Addendum (extracts from J-P Linnartz: Wireless Communication CDROM)
Fading multipath radio channels Narrowband channel modelling Wideband channel modelling Wideband WSSUS channel (functions, variables & distributions)
1 Small-scale Mobile radio propagation Small-scale Mobile radio propagation l Small scale propagation implies signal quality in a short distance or time.
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
WIRELESS COMMUNICATIONS Assist.Prof.Dr. Nuray At.
Wireless Networks (PHY): Design for Diversity Y. Richard Yang 9/18/2012.
Physical Layer: Channel models and digital modulation techniques
Radio Propagation Spring 07 CS 527 – Lecture 3. Overview Motivation Block diagram of a radio Signal Propagation  Large scale path loss  Small scale.
1 Mobile Communication Systems 1 Prof. Carlo Regazzoni Prof. Fabio Lavagetto.
Multipath fading and reflections The signal takes many paths to the destination. The propagation delay along each path is different. How many meters difference.
Department of Electronic Engineering City University of Hong Kong EE3900 Computer Networks Data Transmission Slide 1 Continuous & Discrete Signals.
Mobile Radio Propagation - Small-Scale Fading and Multipath
EELE 5490, Fall, 2009 Wireless Communications
Wireless and Mobile Communication Systems
Wireless Communication Channels: Small-Scale Fading
Harbin Institute of Technology (Weihai) 1 Chapter 2 Channel Measurement and simulation  2.1 Introduction  Experimental and simulation techniques  The.
ECE 4730: Lecture #10 1 MRC Parameters  How do we characterize a time-varying MRC?  Statistical analyses must be used  Four Key Characteristics of a.
Wireless Communication Channels: Small-Scale Fading
EEE440 Modern Communication Systems Wireless and Mobile Communications.
Wireless communication channel
WIRELESS COMMUNICATIONS Assist.Prof.Dr. Nuray At.
Chapter 4 Mobile Radio Propagation: Small-Scale Fading and Multipath
1 Lecture 9: Diversity Chapter 7 – Equalization, Diversity, and Coding.
Lecture 3. 2 Outline Signal fluctuations – fading Interference model – detection of signals Link model.
Modelling and analysis of wireless fading channels Geir E. Øien
Wireless Transmission Fundamentals (Physical Layer) Professor Honggang Wang
Chapter 5 – Mobile Radio Propagation: Small-Scale Fading and Multipath
EE 6331, Spring, 2009 Advanced Telecommunication Zhu Han Department of Electrical and Computer Engineering Class 11 Feb. 24 th, 2009.
EE 6332, Spring, 2014 Wireless Communication Zhu Han Department of Electrical and Computer Engineering Class 3 Jan. 22 nd, 2014.
Signal Propagation Propagation: How the Signal are spreading from the receiver to sender. Transmitted to the Receiver in the spherical shape. sender When.
PCS Extension to Hata Model, Walfisch Bertoni Model, Indoor Propagation and Partition Losses
EELE 5490, Fall, 2009 Wireless Communications Ali S. Afana Department of Electrical Engineering Class 5 Dec. 4 th, 2009.
The Wireless Channel Lecture 3.
EE424 Communication Systems
© 2002 Pearson Education, Inc. Commercial use, distribution, or sale prohibited. Wireless Communications Principles and Practice 2 nd Edition T.S. Rappaport.
Wireless Communications Principles and Practice 2 nd Edition T.S. Rappaport Chapter 5: Mobile Radio Propagation: Small-Scale Fading and Multipath as it.
1 What is small scale fading? Small scale fading is used to describe the rapid fluctuation of the amplitude, phases, or multipath delays of a radio signal.
EE 6331, Spring, 2009 Advanced Telecommunication
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.
Adaphed from Rappaport’s Chapter 5
Statistical multipath channel models Hassan fayed DR.ENG MOHAB MANGOUD.
Statistical Description of Multipath Fading
TI Cellular Mobile Communication Systems Lecture 3 Engr. Shahryar Saleem Assistant Professor Department of Telecom Engineering University of Engineering.
ECEN 621, Prof. Xi Zhang ECEN “ Mobile Wireless Networking ” Course Materials: Papers, Reference Texts: Bertsekas/Gallager, Stuber, Stallings,
Fading in Wireless Communications Yan Fei. Contents  Concepts  Cause of Fading  Fading Types  Fading Models.
EE359 – Lecture 4 Outline Announcements: 1 st HW due tomorrow 5pm Review of Last Lecture Model Parameters from Empirical Measurements Random Multipath.
Wireless communication lectureset: 8
Diana B. Llacza Sosaya Digital Communications Chosun University
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.
EEE 441 Wireless And Mobile Communications
Small-Scale Fading Prof. Michael Tsai 2016/04/15.
Mobile Radio Propagation - Small-Scale Fading and Multipath
الخبو صغير المقياس أو(المدى)
Shadowing.
1. Introduction.
Digital transmission over a fading channel
2: The Wireless Channel Fundamentals of Wireless Communication, Tse&Viswanath Fundamentals of Wireless Communication David Tse University of California,
Report on Channel Model
UNIT I – Wireless channels
Characterizations and Modeling of the Wireless Channel
Fading multipath radio channels
Wireless Communications Principles and Practice 2nd Edition T. S
Radio Propagation Review
Presentation transcript:

EE 6331, Spring, 2009 Advanced Telecommunication Zhu Han Department of Electrical and Computer Engineering Class 7 Feb. 10 th, 2009

ECE6331 Spring 2009 Outline Review –Stochastic large scale models: u Log-distance path loss model u log-normal shadowing –Outdoor propagation models –Indoor propagation models Small Scale Fading –Small-scale Multipath Propagation –Impulse Response Model of a Multipath Channel –Small-scale Multipath Measurements

ECE6331 Spring 2009 Free Space Path Loss Path Loss is a measure of attenuation based only on the distance to the transmitter Free space model only valid in far-field; –Path loss models typically define a “close-in” point d 0 and reference other points from there: Log-distance generalizes path loss to account for other environmental factors –Choose a d 0 in the far field. –Measure PL(d 0 ) or calculate Free Space Path Loss. –Take measurements and derive  empirically.

ECE6331 Spring 2009 Typical large-scale path loss

ECE6331 Spring 2009 Log-Normal Shadowing Model Shadowing occurs when objects block LOS between transmitter and receiver A simple statistical model can account for unpredictable “shadowing” –PL(d)(dB)=PL(d)+X0, –Add a 0-mean Gaussian RV to Log-Distance PLAdd –Variance  is usually from 3 to 12. –Reason for Gaussian

ECE6331 Spring 2009 Measured large-scale path loss Determine n and  by mean and variance Equ Equ Basic of Gaussian distribution

ECE6331 Spring 2009 Small-Scale Fading Rapid fluctuations of radio signal amplitude, phase, or delays Occurs or short time period or short travel distance Large-scale path loss effects can be ignored Caused by arrival of two or more waves from the source combining at the receiver Resultant detected signal varies widely in amplitudes and phase Bandwidth of transmitted signal is important factor

ECE6331 Spring 2009 Experimental record of received signal envelope in an urban area

ECE6331 Spring 2009 Multipathradio propagation in urban areas

ECE6331 Spring 2009 Determining the impulse response of a channel Transmit a narrowband pulse into the channel Measure replicas of the pulse that traverse different paths between transmitter and receiver

ECE6331 Spring 2009 Small-scale Multipath Propagation Fading: The rapid fluctuation of the amplitude of a radio signal over a short period of time or travel distance. Fading is caused by interference between two or more versions of the transmitted signal, which arrive at slightly different times. Multipath in the radio channel creates small-scale fading effects. Phenomenon : 1. Rapid changes in signal strength over a small travel distance or time interval. 2. Random frequency modulation due to varying Doppler shifts on different multipath signals. 3. Time dispersion caused by multipath propagation delays. If objects in the radio channel are static, and motion is considered to be only due to that of the mobile, then fading is purely a spatial phenomenon. Antenna space diversity can prevent deep fading nulls.

ECE6331 Spring 2009 Factors influencing Small-scale fading Multipath propagation: multipath propagation often lengthens the time required for the baseband portion of the signal to reach the receiver which can cause signal smearing due to inter-symbol interference. –Draw a figure to explain ISI Speed of the mobile: generate random Doppler shifts. –Train passing Speed of surrounding objects: if the surrounding objects move at a greater rate than the mobile, then this effect dominates the small- scale fading. The transmission bandwidth of the signal: if signal’s bandwidth  bandwidth of the multipath channel  received signal will be distorted. –The coherent bandwidth is a measure of the maximum frequency difference for which signals are still strongly correlated in amplitude.

ECE6331 Spring 2009 Comparison of the BER for a fading and non-fading channel

ECE6331 Spring 2009 Doppler Shift

ECE6331 Spring 2009 Illustration of Doppler effect

ECE6331 Spring 2009 Doppler Shift Distance difference Phase difference Doppler frequency shift Frequency shift is positive when mobile moves toward source In a multipath environment, frequency shift for each ray may be different, leading to a spread of received frequencies. For example, for pure sinusoid, the signal blurred in frequency. Example 5.1

ECE6331 Spring 2009 Impulse Response Model of a Multipath Channel Model radio channel as a linear filter with a time-varying impulse response Time variation due to motion of receiver and/or objects in the environment “Filtering” is caused by the summation of the amplitudes and delays of multiple arriving waves at an instant in time d=vt

ECE6331 Spring 2009 Fading due to two incoming signals combine with different phases

ECE6331 Spring 2009 Impulse Response Model of a Multipath Channel The impulse response is a wideband channel characterization and contains all information necessary to simulate or analyze any type of radio transmission through the channel. Impulse response model actually is a linear filter with a time varying impulse response. The variable t represents the time variations due to motion, whereas  represents the channel multipath delay for a fixed value of t. It is useful to discretize the multipath delay axis  of the impulse response into equal time delay segments called excess delay bins. The unit of excess delay is , and the maximum excess delay of the channel is N . The useful frequency span of the model is

ECE6331 Spring 2009 Impulse Response Baseband Model

ECE6331 Spring 2009 Impulse Response Model of a Multipath Channel That means the impulse response models may be used to analyze transmitted signals having bandwidth less than The baseband impulse response of a multipath channel can be expressed as If the channel impulse response is assumed to be time invariant over a small-scale time or distance interval, then the channel impulse response may be simplified as

ECE6331 Spring 2009 Impulse Response Model of a Multipath Channel

ECE6331 Spring 2009 Delay profile of a multipath channel

ECE6331 Spring 2009 Relationship between bandwidth and received power j2pfct j2pfct Transmitted signal x(t)=Re{p(t) e } Transmitted signal x(t)=Re{p(t) e } N-1 j  i N-1 j  i Received signal r(t) =  a i e p[t–ti] Received signal r(t) =  a i e p[t–ti] i = 0 i = 0 p(t) is a pulse train. p(t) is a pulse train. tmax tmax |r(t)|^2 =(1/tmax) ∫r(t) r *(t) dt 0 N-1 N-1 =  |a k |^2 =  |a k |^2 k = 0 k = 0 =>Total received power = sum of the power of individual multipath components.

ECE6331 Spring 2009 Average small-scale received power

ECE6331 Spring 2009 Impulse Response Model of a Multipath Channel

ECE6331 Spring Example 5.2, 5.3

ECE6331 Spring 2009 Small-scale Multipath Measurements Three methods of wideband channel sounding techniques  Direct RF Pulse System  Spread Spectrum Sliding Correlator Channel Sounding  Frequency Domain Channel Sounding Direct RF Pulse System  Determine the power delay profile of any channel by using pulse signal with pulse width  bb. The main problem with this system is that it is subject to interference and noise.  Another disadvantage is that the phases of the individual multipath components are not received.

ECE6331 Spring 2009 Small-scale Multipath Measurements

ECE6331 Spring 2009 Small-scale Multipath Measurements Spread Spectrum Sliding Correlator Channel Sounding Spread spectrum, processing gain Time resolution: 2Tc=2/Rc The advantage of a spread spectrum system is that, while the probing signal may be wideband, it is possible to detect the transmitted signal using a narrow band receiver, thus improving the dynamic range of the system as compared to the direct RF pulse system. The transmitter chip clock is run at a slightly faster rate than the receiver chip clock. This implementation is called a sliding correlator. A disadvantage of the spread spectrum system is that measurements are not made in real time, but they are compiled as the PN codes slide past one another

ECE6331 Spring 2009 Small-scale Multipath Measurements

ECE6331 Spring 2009 Small-scale Multipath Measurements Frequency Domain Channel Sounding 1. Measure the frequency response of the channel first then convert it to time response. 2. It is useful only for very close measurements (indoor channel sounding). 3. It is a non-real time measurement.

ECE6331 Spring 2009 Small-scale Multipath Measurements

ECE6331 Spring 2009 Questions?