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Introduction to Telecommunication Networks Engineering

Name: Introduction to Telecommunication Networks Engineering
Rating: 3.7 (18 reviews)

Become an expert in the field of electrical engineering communication . A communication course RAHEE414 from Rahsoft

Created byRahsoft Electrical Engineering Courses

Last updated 5/2022

English

What you'll learn

Analyze performance of basic communication networks
Understand telecommunication network design techniques
Develop problem solving in telecommunications networking areas
Understand the basic properties of internet and telecommunications traffic properties

Course content

4 sections • 78 lectures • 10h 6m total length

Introduction2:02
Implementing a telecommunication network27:52
Learn how a telecommunication system converts signals from source to electrical form, uses modulation to transmit over wireless, wired, or acoustic channels, and recovers them at the receiver.
Receiver Antenna5:23
different types of signals9:34
sinusoidal signal10:16
mixed and real signals5:45
Differentiate real signals from mixed signals by examining the domain and form of x(t), real numbers versus mixed numbers. Apply the permanent form of sinusoidal signals to simplify circuit analysis.
random and definite signals4:21
sender and receiver4:27
alternating and non alternating signals6:09
discrete signal3:17
casual and non casual signals4:52
Odd and even signals5:39
Fourier series10:21
Dirichlet condition16:18
Fourier series presentation form2:05
Fourier series for odd and even real signals12:47
Fourier transform uses16:27
duality11:50
LTI system10:43
movement in the time field7:56
alternating signal Fourier transform17:07
Explore alternating signals and their Fourier transform, including complex transforms, periodic shifting, and frequency-domain representations essential for telecommunication signal analysis.
Fourier transform in LTI systems10:22
Designing of FIR filters3:39
Whole zero filters9:55
Apply the Fourier transform to continuous-time signals, extract frequency components and harmonics from time-domain data, and reconstruct signals using x(omega) and its relation to f.
Whole zero filters4:24
Explore finite impulse response filters, their limited impulse response, and guaranteed stability within the unit circle in the z-plane.
H(n) for lowpass filter3:03
Desired number of filters6:05
H(n) in overall form4:17
distance between omegas1:09
using Fourier transform for FIR filters4:42
Unlimited pulse response filters4:41
2 line transform2:43
Coefficient of IIR filters5:05
Conversion function5:05
power signals3:54
Explain the z-transform and its inverse using linearity and shifting, derive stable filter responses, and show impulse responses decay to zero for convergence.
Power Signals16:01
Analyze power signals versus energy signals, derive the power spectrum density, and represent periodic components with cosine and sine, using Fourier transform and impulse terms.

Limited domain6:42
Modulation goals10:22
AM modulation10:20
am modulation uses a cosine carrier at fc to form a band pass signal with upper and lower sidebands, highlighting double sideband concepts and 88 megahertz radio channels with dsp.
transferring message10:35
Common domain modulation8:02
Explore common domain modulation and its relation to DSP modulation, focusing on signal envelopes, carrier cosines, and sender–receiver dynamics with a powerful transmitter and simple receiver.
Conversion amplitude modulation3:48
Conversion amplitude modulation5:49
Explore amplitude modulation by analyzing how the message signal changes the signal, creates positive and negative frequencies, and defines the modulation bandwidth.
message signal example8:30
Modulators and demodulators implementation4:13
Using non linear function15:13
Implement a modulator using a nonlinear function and analyze how input-output relationships shape the analogue signal. Explore spectrum, convolution, and filtering for amplitude and frequency modulation.
Implement DSP4:01

Introduction2:09
Carry on signal8:27
Variable in time phase4:55
Importing empty message into frequency modulator4:04
the lecture shows that an empty message fed into a frequency modulator can resemble phase modulation via derivative path, with frequency f_inst = f_c + k_p m'(t) rising with slope.
Sinusoidal message signal5:43
Explore a sinusoidal message signal read as sine or cosine, and how the modulated carrier frequency deviates with the derivative of the message signal, while the time-domain remains constant.
FM frequency5:34
Spectrum properties of angle moduled signal26:31
Limitation of frequency8:44
harmonics in bandwidth9:37
Harmonics example30:59
Increasing speed in MATLAB4:05
Carson rule2:06
Apply Carson's rule to estimate modulation bandwidth from the message signal, exploring how the spectrum expands with sinusoidal or square signals and using simulations to verify results.
Carson rule in an example3:38
Explore Carson's rule using an example to analyze how frequency deviation and modulating frequency determine the FM bandwidth, reinforcing the noise resistance of FM in telecommunication networks.
Implementing angle modulators and demodulators15:59
Explore implementing angle modulators and demodulators using a circuit where capacitance changes with the message to modulate the carrier, and derive the carrier frequency from circuit parameters.
Demodulators8:58
Import U(t) into a filter5:14
RLC circuit8:08
Using push for demodulation1:43
Explore how push techniques support demodulation of signals in telecommunication networks, and examine how signal output relates to input and polarity considerations.

Introduction2:41
Random Signal5:10
Explore the foundations of random signals and random processes, focusing on probability density functions, random variables, and how these concepts describe outcomes over time.
Random Variable5:40
Explore random variables, mapping outcomes to numbers, and their relation to sample spaces and frequencies, using dice to illustrate probability calculations and rules.
Random variable incident10:24
Model noise in telecommunication channels as random variables with a zero-mean gaussian process of variance sigma^2. Show how a modulated signal plus noise yields a normally distributed received signal.
Statical averages4:38
statical averages in MATLAB5:03
White processes8:06
Explore white processes and white noise, showing a flat power-spectrum density across frequencies, its relation to temperature and Boltzmann constant, and implications for electronic circuits.
properties of tempered noises3:35
Investigate the properties of tempered noises and their power spectrum density, including the role of temperature and averaging, and relate these results to circuit concepts in telecommunication contexts.
Filtered noise processes10:00
Explore how filters shape noise processes in telecommunication networks, analyze the power spectral density of white noise after filtering, and identify quadrature components.
Districuting the colorful noise10:46
properties of tempered noises3:58
bandwidth equivalent to noise4:14
Investigate how bandwidth relates to noise, analyze white noise power density, and determine a filter's output power using the power density integral.
Lowpass filter example7:24

Requirements

Probability Theory and Statistics

Description

Description

In RAHEE 414 we’ll Focus on applying formulas to Telecommunications Networks then we Analyze their characteristics and behaviors. It includes Design and analysis of Telecommunications Networks. Number of examples have been solved to make you understand them better.

This course provides an introduction to the principles & techniques of design, implementation, and analysis of communication networks which is the key technology for the modern ICT systems. Each topic will have many examples which goes over them briefly with different parts. By end of each chapter there will be a quiz for you to test your understanding of that specific chapter.

Topics include basis of voice, video, data and internet communications. network topologies, architecture. By end of the course, you should be able to :

1. Understand basic and some advanced concepts and techniques of telecommunications networks.

2. Develop problem solving approaches as applied in telecommunications networking areas.

3. Able to analyze performance of basic communication networks using both analytical and simulation techniques.

4. Understand telecommunication network design techniques and practical implementation issues.

5.Understand the basic properties of internet and telecommunications traffic properties.

This course is mostly for academic level Engineering students in different universities around the world.

Instructor

The instructor of this course is Mehrad Nahouri. He has an Associates in Electrical Engineering concentration on digital field and is a lecturer at Rahsoft.

Pre-Requisite:

Probability Theory and Statistics

What is the target audience?

This course is for students working in Telecommunications field.
Undergraduate students
Electrical Engineer
Graduate students taking Telecommunications Networks course
Researchers in Telecommunications field

Course content

Introduction

Signals and Systems
Domain Modulation
Angle Modulation
Random Processes

Who this course is for:

Electrical Engineers
Electrical Engineering Students

The 4 main things the student will learn by the end of the course:

Analyze performance of basic communication networks
Understand telecommunication network design techniques
Develop problem solving in telecommunications networking areas
Understand the basic properties of internet and telecommunications traffic properties

Who this course is for:

This course is for students working in Telecommunications field.
Undergraduate students in EE
Electrical Engineers
Graduate students taking Telecommunications Networks course
Researchers in Telecommunications field

Introduction to Telecommunication Networks Engineering

What you'll learn

Explore related topics

Course content

Signals and Systems36 lectures • 4hr 40min

Domain Modulation11 lectures • 1hr 28min

Angle Modulation18 lectures • 2hr 37min

Random Processes13 lectures • 1hr 22min

Requirements

Description

Who this course is for: