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Introduction to Telecommunication Networks Engineering
Rating: 3.7 out of 5(18 ratings)
1,114 students

Introduction to Telecommunication Networks Engineering

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
English [Auto],

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

    Explore how telecommunication networks transfer data and information and transform across signals—from electrical, voice, or video to distant points via light wires, wireless, or wired channels, with emphasis on modulation.

  • 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

    The receiver antenna tunes to the target frequency, isolating the desired radio signal (e.g., 88 megahertz) and using LC circuit resonance to intensify the output.

  • different types of signals9:34

    Explore the difference between discrete-time and continuous-time signals, and how sampling uses a sampling frequency to convert a continuous signal into a discrete form for computer processing and storage.

  • sinusoidal signal10:16

    Examine how a sinusoidal signal is sampled; a smaller sampling period increases samples per period, making the discrete signal resemble the continuous form but raising processing load.

  • 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

    Explore random and definite signals in telecommunications. Random signals have unpredictable amplitudes over time (random variables), while definite signals have fixed values at each time, illustrated by capacitor voltage readings.

  • sender and receiver4:27

    Explore how a sender, channel, and receiver transfer signals via electromagnetic waves, while receiver processing mitigates noise from lightning and motors using random processes and probabilities.

  • alternating and non alternating signals6:09

    Examine alternating and non alternating signals in continuous and discrete time, with period concepts like x(t+T)=x(t) and examples such as sin t and |sin t|.

  • discrete signal3:17

    explains how a discrete signal, sin(omega n), is periodic only when 2 pi over omega is rational, contrasting with continuous signals and referencing integers and rational numbers.

  • casual and non casual signals4:52

    This lecture defines casual signals as x(t)=0 for t<0 and contrasts them with non-casual signals like sign(omega t); it shows casual systems depend only on present and past inputs.

  • Odd and even signals5:39

    Identify even and odd signals by symmetry: even signals satisfy x(-t)=x(t) about the vertical axis, while odd signals satisfy x(-t)=-x(t) about the origin.

  • Fourier series10:21

    Model telecommunication channels with linear time-invariant systems and impulse responses, and use Fourier series to derive outputs for sinusoidal and periodic inputs.

  • Dirichlet condition16:18

    This lecture explains Dirichlet conditions for a signal's Fourier series, identifying existing frequencies and harmonics, and shows how to compute Fourier coefficients and identify the dc and harmonic components.

  • Fourier series presentation form2:05

    Explore the Fourier series presentation form within the context of telecommunication networks engineering for course relevance.

  • Fourier series for odd and even real signals12:47

    Explore Fourier series for even and odd real signals, and learn how to compute Fourier coefficients via integrals, with discussions on the period and terms.

  • Fourier transform uses16:27

    Explore the Fourier transform of signals, using linearity and sinusoidal components to analyze real signals, identify the DC component, and relate time shifts to frequency content.

  • duality11:50

    Apply duality properties of the Fourier transform to relate time-domain and frequency-domain signals, using variables f, s, t, and F, with examples like sine and cosine and gated signals.

  • LTI system10:43

    Explore linear time-invariant systems by analyzing impulse responses, sinusoidal inputs, and Fourier transforms to understand input-output behavior and the frequency response.

  • movement in the time field7:56

    Examine how timing shifts influence signal transformation in telecommunication networks, analyzing delays, angles in the transform, and the conditions for stable, free signal flow.

  • 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

    Explore how the Fourier transform applies to linear time-invariant systems in telecommunication networks engineering, connecting impulse response to the system output.

  • Designing of FIR filters3:39

    Design FIR filters using windowing and transform methods, analyze frequency response, and tune coefficients for a no feedback finite impulse response structure with three design methods.

  • 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

    Explore h(n) for lowpass filters and design methods for high-pass, including cutoff frequencies omega_h and omega_l, and use inverse transforms to obtain time-domain results.

  • Desired number of filters6:05

    Apply the z-transform to derive filter coefficients from the pulse response h[n], using symmetry h[-k] = h[k] and shifting to ensure a causal filter.

  • H(n) in overall form4:17

    Explain the overall form of H(n) for a discrete-time filter, highlighting symmetry and noncausal versus causal realizations, and how truncating terms yields a practical FIR filter.

  • distance between omegas1:09

    Compute the distance between ωc and −ωc using a (1/2π) integral of e^{jω}, deriving a sine-based expression.

  • using Fourier transform for FIR filters4:42

    Explore designing FIR filters via the Fourier transform, using ideal low-pass, high-pass, and stop filters to derive pulse responses and coefficient calculations, with normalized cutoff frequency omega_c.

  • Unlimited pulse response filters4:41

    Explore infinite impulse response digital filters, their pole-zero structure, and design via the z-transform. Assess equalizer applications and the nonlinear versus linear phase trade-offs, noting symmetric coefficients for linear phase.

  • 2 line transform2:43

    Design an analog filter and convert it to a digital filter using the bilinear transform, then verify the frequency response in MATLAB and iterate until the desired result is achieved.

  • Coefficient of IIR filters5:05

    Explore how IIR filter coefficients govern stability by keeping the filter inside the unit circle and the trade-off between achieving linear phase through symmetry and a reliable frequency response.

  • Conversion function5:05

    Explore how filter coefficients affect linear phase and stability, highlighting the trade-off between symmetric FIR coefficients for linear phase and maintaining stability, with emphasis on frequency response.

  • 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.

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

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