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EENG22000 Communications
Creation date：2024-05-08 17:23:04
Belonging category：电气工程electric engineering
Communications

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EENG22000

Communications

This version of the EENG22000 unit was adapted for delivery during the Covid-19
pandemic. A number of adaptations have been made to accommodate the constraints
on learning, teaching and studying. These include:
 A reduction of the course syllabus of around 10% to reduce student workload
 Removal of the assessed laboratory assessment (commonly referred to as the
‘Modem lab’) to further reduce student workload
 Adjustments to the lecture delivery to create a suite of smaller modular ‘lectures’
for asynchronous online study
 Arrangements for Synchronous teaching activities
 Addition of online tests in preparation for the final summative assessment taking
place online as opposed to the normal written examination under controlled
conditions
Throughout the remainder of this course content directly addressing these Covid-19
adaptations will appear in this boxed format.
THIS VERSION IS AN INTERIM VERSION COVERING
PARTS 0-2. A REVISED VERSION COVERING ALL OF
SECTIONS 0-4 WILL BE PROVIDED AT A LATER DATE.

0. Introduction
Throughout the last century electronic communications systems have made massive
progress in terms of the service that they are capable of providing. Analogue wireline
technology progressed from simple telegraph systems to telephony. Analogue radio has
facilitated television and radio broadcasting and even early mobile telephone technology.
However, with the advent of digital signal processing technology, communications has
evolved into a digital age where a previously unimaginable range of services can be
provided and the use of sophisticated communication technology is a ubiquitous feature
of human life.
Modern wireless communications systems are capable of supporting robust and reliable
access to data and the mobile phone and WiFi services are simply taken for granted. High
speed, low latency communications, video streaming, cloud computing access and more
or less any other application the individual user can dream of accessing can be facilitated.
Even highly demanding services such as mobile cloud gaming are now reaching the
mainstream user. Simultaneously, cable and fibre technologies have evolved to provide
the infrastructure capable of meeting our mass needs. Now, not all communication even
has a human user with machine to machine communications rapidly expanding for
application such as smart cities, smart grid, smart transport and digital health care.
Whilst wireless, cable and fibre links all pose significantly different challenges and
opportunities in the design of communications systems, many of the techniques employed
to address these challenge have a degree of commonality.
0.1. Who and what is this unit for?
This course is intended to provide the student with an introduction to the fundamental
concepts of communications systems as applied to a wide variety of different applications.
Emphasis is placed on the concepts and terminology used in communications systems
and not on complex mathematical proofs and analysis. The goals of the unit are for
students:
 To understand the language of communication engineers and be able to use it
competently themselves
 To understand the physical limits of communication systems and consequently
what is possible and what is not possible
 To understand the wide variety of significant challenges faced in the design of
communication systems
 To understand various options in system design (factors such as modulation
schemes, coding rates, filtering parameters)
 For to be able to design a good communication system for a given scenario

For some students this unit will be the first in a sequence of communication focussed units
that you will study. This unit will provide the foundation for your communication
engineering education. A plethora of later units will enable you to specialise your expertise
further and study more advanced aspects of communications. These units include Mobile
Communication Systems, Advanced Mobile Radio Techniques, Broadband Wireless
Communications, Coding Theory, Networking Protocol Principles, Advanced Networking,
Optoelectronic Devices and Systems, Optical Communications Systems and Data
Networks, Data Centre Networking. You likely won’t be able to study all of these units but
many will be available, depending upon which programme you are studying.
Other students may choose to specialise in area other than communications (hey, no one
is perfect!) but many other areas of engineering and science make use of communications
and a basic knowledge of communications will still support your studies in those areas.
For example, take a look at a computer. Count the number of communications interfaces
you can see on the outside of a desktop PC or Laptop. If you are really keen, take it apart!
USB, HDMI, Ethernet, Wifi PCI, SATA, etc – these are all communication interfaces.
Over the course of this unit we will learn techniques used in 2G, 3G, 4G and 5G mobile,
WiFi, Bluetooth, ADSL, DOCSIS and Fibre (Broadband), USB, Ethernet, Television and
Broadcast Radio and many other technologies that people use in everyday life.
While you study this unit, think of yourself as a communication engineer. That’s the way
that I will address you in the lectures and in these notes. Whilst you may not pursue a
career in communications during study or beyond, try to retain that mindset whilst studying
this unit.
0.2. Unit Structure
This unit is structured into four parts:
 Part 1 provides an introduction to the fundamental concepts of communications,
including the basic building blocks of a communications system, various factors
engineers have to consider in their designs and then moves on to identify a number of
numerical metrics that apply to communication systems relates them together in a key
theorem; the Shannon capacity theorem.
 Part 2 covers the basic forms of digital bandpass modulation available to the
communications engineer. Part 2 keeps this simple by considering only binary
modulation and considering modulation of the Amplitude, Frequency and Phase of a
waveform in turn.
 Part 3 explores more advanced modulation schemes by considering what we can
achieve with non-binary modulation and by modulating more than one property of the
waveform.
 Throughout parts 2 and 3, filters are seen to be used in communications systems. The
details of these filters are important but aren’t discussed in detail in parts 2 and 3. Thus

in part 4, we investigate these filters in detail. Part 4 also explores the concept of error
control coding which is another key tool in the design of communication systems.
0.3. Learning Materials
A suite of materials is provided to aid study. This suite consists of:
 This course handbook, which discusses all the topics in the syllabus in detail.
Sections 1-4 of this handbook correspond directly to parts 1-4 of the course.
 A set of lectures, recorded, so that you the student can watch them in your own
time (so called ‘asynchronous study’).
 A timetabled schedule of ‘synchronous’ classes. This is where we will meet as a
group (whether virtually or in person) to discuss the syllabus topics in detail.
 Problem sheets; 1 per part of the course, as outlined above, to be taken in your
own time. Questions will be released after the synchronous sessions for each part
of the course is complete.
 Online tests; 1 per part of the course to be taken within a scheduled window. These
tests will be indicative of the final unit assessment if it takes place online.
 Some software lab experiments which will enhance understanding through
experimentation. These software lab experiment activities will be led by Dr
Tommaso Capello.
All of this material will be provided on ‘Blackboard’, the Universities Online Learning
Environment.
0.4. Recommended Texts
Whilst the materials described in section 0.3 above provide the essential study material
the following texts are recommended as optional supporting reading material for this
course:
1. Digital Communications, Andy Bateman, Addison Wesley, 1998
2. Communication Systems (3rd/4th Edition), S Haykin, Wiley, 1994
3. Communication Systems, F G Stremler, Addison Wesley, 1990
4. Principles of Communication Systems (2nd Edition), Taub & Schilling, McGraw-Hill.
5. Communication Systems: An Introduction to Signals and Noise in Electrical
Communication, A B Carlson, McGraw Hill, 1968

0.5. Mathematical Background
Students are expected to have good understanding of the following mathematical
concepts:
 Fourier series and analysis
 Fourier transforms
 Time/frequency representation of signals
 Trigonometric identities and substitutions.
Class 1 will provide an overview of the whole course and introduce the supporting
resources.
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CMP7000A CMP-7038B Math 263 LAW3016 CS371 STAT 334 FIN0008 ACC3004 STAT 371 ​COMP1921 MTH201 ACCT2000 UN3412 CIV6000 MATHS 3021 MATE7014 ECON1 CIBC6035 LAW121G COMM 321 CSC8204R TTM2033 CSCI 2600 MAE 115 LNG302 CENV6175W1 ECON30019 CPS2015 BST969 DDES9015 AMATH242 CS 1151 N1592 ACCT600 EG503G SMM519 EC318 Ecstatistics EEE 471 MARK2051 Topology COM00037H ACCT3000 MTHM501 EG501V COM00055H BUSN9085 GGR273 MATH 2B ITD102 MA214 ECON0060 ECE3114 ECMM447 Mechanics CCT361H5S BSAN3210 WELF2001 Fin3001 RESP5001 STA 137 Linguistics 101 CSCI368 CMPSC497 LUBS3655 OMBA 5355 BUSM2562 ​BFF5902 CYBR7001 CULT2005 ECON 7720 MTRX3760 FSE598 ​LUE1001 MGSC 7100 CS3240 COSC7500 ACCT3091 INFOGR TRAN 2080 DESIGN CIVE215001 CIVE2360 CPSC 8430 FNCE2003 Stoichiometry INFS6023 Quantitative Method Math 21D ECE5179 Design ​ECON8022 Chemical DMS 213 ADM1370 BFF5902 BFF2701 AGRI10051 AMN400 ECON7322 ​FINC5090 ​MATH1052 ​SciComp Elec4622 ​FINS5516 ENG 101 MMM143 CS431CA2 BSAN2201 EBSC7070 ES9v9-10 PLIN0009 DATA 8 MATH 101 BCPM0097 ​MAT 237 BISM2201 EEE8099 Physics 11 ECE2238B Biostat 234 ​ECON30009 INF10025 CHEM252 CCMA4008 CIVE 3007 STAT0031 ELEC ENG 3108 MGMT90140 CHEM 252 STAT3016 MMM095 ​MMGT6016 Legal STAT 311 ELEC9764 COMP 370 TCS 3053 EECS 1021 FIT1051 C/C++ EE3C COMP2003J COM398 COMP51915 Simulator FIN42330 8PRO102 PGD ELEC5160 XJCO1921 COMP5123M INFS 2042 CHE1148H ECA5313 IN3329 Microsoft Modeling B15 2TT COMP3687 COMP2432 DMS2030 KAN4TSF CFKG CSE 5322 CSE 445 STATS 3DA3 CHC5223 COMP1048 EL3105 EECS 3221 CS231 ME 4434 ITP4510 ITP4501 CSCI 5708 Controller EECE 5699 CPEN 231L CPN programs CSC8016 MATU9D2 ENGN4213 2. SVM. (10 points) Consider an SVM classifier using RBF kernel, and finish the following python code to search for the optimum kernel parameter γ. You are required to calculate the RBF function and search yourself, instead of using functions in Scikit-Learn (sklearn). def parameter search(gamma list ,Xtr,ytr,Xts,yts ,...): """ Parameters gamma list: A list of RBF kernel parameter gamma to search for Xtr: Training data, shape (ntr,nrow,ncol) ytr: Training labels, shape (ntr,) Xts: Test data, shape (nts,nrow,ncol) yts: Test labels, shape (nts,) ... Add other parameters as needed Returns: gamma optimum: The gamma with minimum error on Xts, yts """ ... return gamma optimum
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