Students
TELE8081 – Digital Communication Systems
2021 – Session 1, Special circumstances
Notice
As part of Phase 3 of our return to campus plan, most units will now run tutorials, seminars and other small group activities on campus, and most will keep an online version available to those students unable to return or those who choose to continue their studies online.
To check the availability of face-to-face and online activities for your unit, please go to timetable viewer. To check detailed information on unit assessments visit your unit's iLearn space or consult your unit convenor.
General Information
Download as PDF
| Unit convenor and teaching staff |
Unit convenor and teaching staff
Unit Convenor
Hazer Inaltekin
Contact via 9850 2280
44 WTR, Room 133
Wednesday 5pm-6pm
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| Credit points |
Credit points
10
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| Prerequisites |
Prerequisites
Admission to MEngNetTeleEng
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| Corequisites |
Corequisites
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| Co-badged status |
Co-badged status
TELE4081
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| Unit description |
Unit description
This unit develops applied knowledge about computer-aided telecommunications system design and provides hands-on experience in performance management and optimisation analysis of modern and future telecommunications systems. It introduces Simulink models and teaches how to use these models in digital data transmission, pulse shaping over bandlimited channels, OFDM, fading channels, multi-antenna beamforming, multiuser wireless communications, satellite communications and optical communications. The key telecommunications engineering performance indicators such as bit error rates, spectrum utilisation, throughput, delay and diversity are studied in detail and they are gauged by means of software-defined probes attached to the telecommunications system components. The practical computer-aided signal processing and digital communications techniques to manage and optimise these key performance indicators are taught when transmitted data is corrupted by channel noise and fading.
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Important Academic Dates
Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates
Learning Outcomes
On successful completion of this unit, you will be able to:
- ULO1: Utilise Matlab and Simulink environment to design modern digital communication systems and characterise relevant system performance metrics.
- ULO2: Demonstrate applied and theoretical understanding of fundamental signal processing and digital communication techniques to optimise telecommunication system performance.
- ULO3: Articulate fundamental tradeoffs among key digital communication system performance indicators, e.g., bit error rate, capacity and delay, and main telecommunication resources such as power, frequency and space.
- ULO4: Demonstrate proficiency in areas of professional engineering practice, including team work, self-motivation and self learning, production of quality work to meet a given deadline.
General Assessment Information
Grading and Passing Requirement for the Unit:
In order to pass this unit a student must obtain a mark of 50 or more for the unit (i.e. obtain a passing grade P/ CR/ D/ HD).
For further details about grading, please refer below in the policies and procedures section.
Final Examination:
If you receive special consideration for the Viva/oral examination, a supplementary exam will be scheduled by the faculty during a supplementary exam period, typically about 3 to 4 weeks after the normal exam period. By making a special consideration application, you are declaring yourself available for a resit during the supplementary examination period and will not be eligible for a second special consideration approval based on pre-existing commitments. Please ensure you are familiar with the policy prior to submitting an application. Approved applicants will receive an individual notification with the exact date and time of their supplementary examination.
Late Submissions and Re-submissions:
Late submissions will attract a penalty of 10% marks per day. Extenuating circumstances will be considered upon lodgement of a special consideration application.
Resubmissions of work are not allowed after due date.
Assessment Tasks
| Name | Weighting | Hurdle | Due |
|---|---|---|---|
| Assignment | 30% | No | All Session |
| Weekly Projects | 30% | No | All Session |
| Final Exam | 40% | No | Week 13 |
Assignment
Assessment Type 1: Problem set
Indicative Time on Task 2: 15 hours
Due: All Session
Weighting: 30%
Students will complete regularly assigned problem sets testing both theory and implementation in digital communication system design.
On successful completion you will be able to:
- Utilise Matlab and Simulink environment to design modern digital communication systems and characterise relevant system performance metrics.
- Demonstrate applied and theoretical understanding of fundamental signal processing and digital communication techniques to optimise telecommunication system performance.
- Articulate fundamental tradeoffs among key digital communication system performance indicators, e.g., bit error rate, capacity and delay, and main telecommunication resources such as power, frequency and space.
Weekly Projects
Assessment Type 1: Project
Indicative Time on Task 2: 40 hours
Due: All Session
Weighting: 30%
Weekly projects that will focus on fundamental design principles for modern digital communication systems.
On successful completion you will be able to:
- Utilise Matlab and Simulink environment to design modern digital communication systems and characterise relevant system performance metrics.
- Demonstrate proficiency in areas of professional engineering practice, including team work, self-motivation and self learning, production of quality work to meet a given deadline.
Final Exam
Assessment Type 1: Viva/oral examination
Indicative Time on Task 2: 20 hours
Due: Week 13
Weighting: 40%
Oral examination at the end of the unit to test students' applied and theoretical understanding of digital communication systems.
On successful completion you will be able to:
- Utilise Matlab and Simulink environment to design modern digital communication systems and characterise relevant system performance metrics.
- Demonstrate applied and theoretical understanding of fundamental signal processing and digital communication techniques to optimise telecommunication system performance.
- Articulate fundamental tradeoffs among key digital communication system performance indicators, e.g., bit error rate, capacity and delay, and main telecommunication resources such as power, frequency and space.
1 If you need help with your assignment, please contact:
- the academic teaching staff in your unit for guidance in understanding or completing this type of assessment
- the Writing Centre for academic skills support.
2 Indicative time-on-task is an estimate of the time required for completion of the assessment task and is subject to individual variation
Delivery and Resources
Unit Delivery:
There is no required textbook in the unit. Necessary and sufficient material will be covered during the lectures and workshop hours.
The following open-source references on Matlab are highly recommended:
- Communications Toolbox: Getting Started Guide, MathWorks, 2018.
- Communications Toolbox: User Guide, MathWorks, 2018.
The unit will be project based and the emphasis on theory will be minimal. The following references are useful for some background material:
- Communication Systems, 5th ed., S. Haykin and M. Moher, John Wiley & Sons, 2009.
- Modern Digital and Analog Communication Systems, 4th ed., B. P. Lathi and Z. Ding, Oxford University Press, 2009.
- Principles of Digital Communication, 1st ed., R. G. Gallager, Cambridge University Press, 2008.
Software:
Matlab (2019b or above) & Simulink by MathWorks are required. The required software will be available in the workshop computers. It can also be downloaded for home installation after registering for an online account with MathWorks - mathworks.com. For more information, please see:
https://staff.mq.edu.au/intranet/science-and-engineering/services-and-resources/it-support-services/miscellaneous/matlab
Unit Web Page:
Unit lecture notes, resources and other information about the unit can be accessed through iLearn.
Technology Used:
The primary software tool used in workshops is Matlab. In addition to Matlab, standard library/internet search engines and word processing software will be used.
Workshop Session Safety:
NO FOOD OR DRINK may be taken into the laboratory.
Policies and Procedures
Macquarie University policies and procedures are accessible from Policy Central (https://policies.mq.edu.au). Students should be aware of the following policies in particular with regard to Learning and Teaching:
- Academic Appeals Policy
- Academic Integrity Policy
- Academic Progression Policy
- Assessment Policy
- Fitness to Practice Procedure
- Grade Appeal Policy
- Complaint Management Procedure for Students and Members of the Public
- Special Consideration Policy
Students seeking more policy resources can visit Student Policies (https://students.mq.edu.au/support/study/policies). It is your one-stop-shop for the key policies you need to know about throughout your undergraduate student journey.
To find other policies relating to Teaching and Learning, visit Policy Central (https://policies.mq.edu.au) and use the search tool.
Student Code of Conduct
Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: https://students.mq.edu.au/admin/other-resources/student-conduct
Results
Results published on platform other than eStudent, (eg. iLearn, Coursera etc.) or released directly by your Unit Convenor, are not confirmed as they are subject to final approval by the University. Once approved, final results will be sent to your student email address and will be made available in eStudent. For more information visit ask.mq.edu.au or if you are a Global MBA student contact globalmba.support@mq.edu.au
Student Support
Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/
Learning Skills
Learning Skills (mq.edu.au/learningskills) provides academic writing resources and study strategies to help you improve your marks and take control of your study.
The Library provides online and face to face support to help you find and use relevant information resources.
Student Services and Support
Students with a disability are encouraged to contact the Disability Service who can provide appropriate help with any issues that arise during their studies.
Student Enquiries
For all student enquiries, visit Student Connect at ask.mq.edu.au
If you are a Global MBA student contact globalmba.support@mq.edu.au
IT Help
For help with University computer systems and technology, visit http://www.mq.edu.au/about_us/offices_and_units/information_technology/help/.
When using the University's IT, you must adhere to the Acceptable Use of IT Resources Policy. The policy applies to all who connect to the MQ network including students.
Unit information based on version 2021.03 of the Handbook