• Class Number 5386
  • Term Code 3260
  • Class Info
  • Unit Value 6 units
  • Mode of Delivery In Person
  • COURSE CONVENER
    • AsPr Nan Yang
  • LECTURER
    • AsPr Nan Yang
  • Class Dates
  • Class Start Date 25/07/2022
  • Class End Date 28/10/2022
  • Census Date 31/08/2022
  • Last Date to Enrol 01/08/2022
SELT Survey Results

This course provides a comprehensive overview and advanced knowledge of modern mobile and wireless communication systems. Building on the prior knowledge on digital communications, students develop further understanding on the challenges and opportunities brought by the wireless medium in designing current and future wireless communication systems and networks.

Topics include:

* Overview of digital wireless communications and cellular concept;

* Interference and traffic analysis for cellular networks;

* Wireless fading channel modelling and characterisation;

* Modulation and detection performance over fading channels;

* Equalisation techniques;

* Multi-carrier systems;

* Spread spectrum techniques;

* Receiver and transmitter diversity techniques;

* Information theory of wireless channels;

* Multiple antenna systems and space-time communications;

* Cooperative communications;

* Standards of wireless cellular networks (e.g. 2G, 3G, 4G, 5G and beyond).

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

  1. Apply cellular concepts to evaluate the signal reception performance in a cellular network and traffic analysis to design cellular network with given quality of service constraints.
  2. Determine the type and appropriate model of wireless fading channel based on the system parameters and the property of the wireless medium.
  3. Analyse and design receiver and transmitter diversity techniques.
  4. Determine the appropriate transceiver design of multi-antenna systems and evaluate the data rate performance.
  5. Design wireless communication systems with key 3G (e.g., CDMA) and 4G (OFDM) technologies.
  6. Describe and differentiate four generations of wireless standard for cellular networks.

Research-Led Teaching

During the course, we make connections to state-of-the-art wireless communications technologies and research activities where appropriate. Extensive practice of using Matlab/Simulink to model, design and analyse communication systems gives hand-on experience of simulation-aided theoretical research which is a common practice in university-based research in the field of communications.

Field Trips

No.

Staff Feedback

Students will be given feedback in the following forms in this course:

1. Direct verbal feedback to the course convener and tutors.

2. Written feedback presented in the course Wattle website to address the collected comments and suggestions.

3. Verbal or written feedback on marked assignments and project reports.

4. Indirect feedback through class representative(s) and the Associate Director (Education).

Student Feedback

ANU is committed to the demonstration of educational excellence and regularly seeks feedback from students. Students are encouraged to offer feedback directly to their Course Convener or through their College and Course representatives (if applicable). The feedback given in these surveys is anonymous and provides the Colleges, University Education Committee and Academic Board with opportunities to recognise excellent teaching, and opportunities for improvement. The Surveys and Evaluation website provides more information on student surveys at ANU and reports on the feedback provided on ANU courses.

Class Schedule

Week/Session Summary of Activities Assessment
1 Lecture 1, Lecture 2
2 Lecture 3, Lecture 4 Release of Assignment 1
3 Lecture 5, Lecture 6, Tutorial 1
4 Lecture 7, Lecture 8, Tutorial 2 Release of Assignment 2
5 Lecture 9, Lecture 10, Tutorial 3
6 Lecture 11, Lecture 12, Tutorial 4 Release of Simulink project
7 Lecture 13, Lecture 14
8 Lecture 15, Lecture 16 Release of Assignment 3, Release of HLab and CLab manuals
9 Lecture 17, Lecture 18, Tutorial 5
10 Lecture 19, Lecture 20 HLab, Submission of CLab report
11 Lecture 21, Lecture 22, Tutorial 6 Submission of Simulink project report
12 Course Review

Assessment Summary

Assessment task Value Learning Outcomes
Assignments 12 % 1,2,3,4
Hardware Lab / Software Lab 3 % 5
Mid-semester Exam 20 % 1,2,3,5
Simulink Project 20 % 2,3,5
Final Exam 45 % 1,2,3,4,5

* If the Due Date and Return of Assessment date are blank, see the Assessment Tab for specific Assessment Task details

Policies

ANU has educational policies, procedures and guidelines, which are designed to ensure that staff and students are aware of the University’s academic standards, and implement them. Students are expected to have read the Academic Misconduct Rule before the commencement of their course. Other key policies and guidelines include:

Assessment Requirements

The ANU is using Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. For additional information regarding Turnitin please visit the ANU Online website Students may choose not to submit assessment items through Turnitin. In this instance you will be required to submit, alongside the assessment item itself, hard copies of all references included in the assessment item.

Moderation of Assessment

Marks that are allocated during Semester are to be considered provisional until formalised by the College examiners meeting at the end of each Semester. If appropriate, some moderation of marks might be applied prior to final results being released.

Examination(s)

There are two examinations in this course, namely, mid-semester examination and final examination.

Assessment Task 1

Value: 12 %
Learning Outcomes: 1,2,3,4

Assignments

There are 3 assignments, each worth 4% of the total mark. Please refer to the course outline document for due dates and cut-off dates. Marked assignments returned within 2 weeks of due date.


Students should submit assignments online via Wattle. This course does not use Turnitin for assignment submission since it cannot properly handle scanned handwritten solutions and equations.

1. Submit an electronic copy of the solution as a single PDF file in Wattle, according to the deadline on the due date or cut-off date.

2. Ensure that the assignment coversheet provided in Wattle is used as the front page. Include the student name, student number, and course code (either ENGN4536 or ENGN6536) on the coversheet.

3. Submission by the due date does not incur any penalty. Late submission prior to the cut-off date is allowed, but at a penalty of 5% of the maximum grade per working day. No submission is allowed after the cut-off date.

4. For exceptional cases which require extension, the students must contact (email) the course convener before assignment deadline with solid reasons (e.g. medical reasons, family/personal reasons, and/or employment related reasons).

Assessment Task 2

Value: 3 %
Learning Outcomes: 5

Hardware Lab / Software Lab

Hardware Lab:

* There is one hardware lab, based on Telecommunications Instructional Modelling System (TIMS), for the students who can attend on-campus educational activities.

* All lab equipment will be provided to students during the lab.

* The lab will be assessed based on the satisfactory completion of tasks as outlined in the lab manual.

* Sign up (via MyTimetable) for ONE of the HLab groups. Students are only allowed to attend the group that they have signed up for. The lab is conducted by a team of two students.

* Preliminary preparation for the laboratories is essential. The student must read 1) lab manual and 2) lab risk assessment document BEFORE attending the lab.


Software Lab:

* There is one software lab, based on Matlab, for the students who cannot attend on-campus hardware lab with solid reason(s).

* The lab manual will be provided to students before Week 10.

* The lab will be assessed based on the satisfactory completion of tasks as outlined in the lab manual.

Assessment Task 3

Value: 20 %
Learning Outcomes: 1,2,3,5

Mid-semester Exam

Assessment Task 4

Value: 20 %
Learning Outcomes: 2,3,5

Simulink Project

This is an individual project and a hurdle assessment.


Students are expected to use Matlab and Simulink as the tools to construct a wireless communications system based on lectures on fading channels, receiver diversity, and multi-carrier systems. Students apply the learnt knowledge to design the system parameters and analyse its performance. This project targets at advanced knowledge and skills, meeting Level 8 (Bachelor Honours Degree) in the Australian Qualifications Framework (AQF).


Please refer to the course outline document for due date.


Each student should submit a written report according to the instructions given in the project description. The student needs to score at least 50% of the marks to be able to pass this course. This is in accordance with the requirement of AQF Level 8. According to ANU’s Policy: Student assessment (coursework), a result of NCN may only be awarded if the student fails to score at least 50% of the marks. The student is required to submit a report, as per the following requirements:

1. Submit (i) an electronic copy of the report as a single PDF file and (ii) all the required Matlab/Simulink code as a single zip file, in Wattle, according to the deadline on the due date. For the report, make sure the assignment coversheet provided in Wattle is used as the front page. Include the student name, student number, and course code --ENGN4536 -- on the coversheet.

2. Strictly no late submission is allowed. Any late submission will receive 0 marks. For exceptional cases which require extension, the students must contact (email) the course convener before assignment deadline with solid reasons (e.g. medical reasons, family/personal reasons, and/or employment related reasons).


Read the project description (to be released in Week 6) and relevant lectures before doing the project. The project is divided into different parts based on different lectures of the course. It is best to do different parts sequentially. While the project description document contains sufficient information to for the student to get started, the student is still encouraged to familiarise with Matlab and Simulink by reading external materials (online resources and books) and practicing the basic command and operations. Matlab and Simulink are typically installed on all computers in the university PC labs.

Assessment Task 5

Value: 45 %
Learning Outcomes: 1,2,3,4,5

Final Exam

Academic Integrity

Academic integrity is a core part of our culture as a community of scholars. At its heart, academic integrity is about behaving ethically. This means that all members of the community commit to honest and responsible scholarly practice and to upholding these values with respect and fairness. The Australian National University commits to embedding the values of academic integrity in our teaching and learning. We ensure that all members of our community understand how to engage in academic work in ways that are consistent with, and actively support academic integrity. The ANU expects staff and students to uphold high standards of academic integrity and act ethically and honestly, to ensure the quality and value of the qualification that you will graduate with. The University has policies and procedures in place to promote academic integrity and manage academic misconduct. Visit the following Academic honesty & plagiarism website for more information about academic integrity and what the ANU considers academic misconduct. The ANU offers a number of services to assist students with their assignments, examinations, and other learning activities. The Academic Skills and Learning Centre offers a number of workshops and seminars that you may find useful for your studies.

Online Submission

Students should submit assignments, the simulink project report, and the CLab report (where applicable) online via Wattle. This course does not use Turnitin for assignment submission since it cannot properly handle scanned handwritten solutions and equations.

Hardcopy Submission

N/A

Late Submission

Assignments:

Submission by the due date does not incur any penalty. Late submission prior to the cut-off date is allowed, but at a penalty of 5% of the maximum grade per working day. No submission is allowed after the cut-off date.


Simulink project report and CLab report (where applicable):

Please submit the report(s) by the due date. Strictly no late submission is allowed. Any late submission will receive 0 mark.

Referencing Requirements

Accepted academic practice for referencing sources that you use in presentations can be found via the links on the Wattle site, under the file named “ANU and College Policies, Program Information, Student Support Services and Assessment”. Alternatively, you can seek help through the Students Learning Development website.

Returning Assignments

Marked assignments and project report(s) are returned within two weeks of the due/cut-off date.

Extensions and Penalties

Extensions and late submission of assessment pieces are covered by the Student Assessment (Coursework) Policy and Procedure The Course Convener may grant extensions for assessment pieces that are not examinations or take-home examinations. If you need an extension, you must request an extension in writing on or before the due date. If you have documented and appropriate medical evidence that demonstrates you were not able to request an extension on or before the due date, you may be able to request it after the due date.

Privacy Notice

The ANU has made a number of third party, online, databases available for students to use. Use of each online database is conditional on student end users first agreeing to the database licensor’s terms of service and/or privacy policy. Students should read these carefully. In some cases student end users will be required to register an account with the database licensor and submit personal information, including their: first name; last name; ANU email address; and other information. In cases where student end users are asked to submit ‘content’ to a database, such as an assignment or short answers, the database licensor may only use the student’s ‘content’ in accordance with the terms of service — including any (copyright) licence the student grants to the database licensor. Any personal information or content a student submits may be stored by the licensor, potentially offshore, and will be used to process the database service in accordance with the licensors terms of service and/or privacy policy. If any student chooses not to agree to the database licensor’s terms of service or privacy policy, the student will not be able to access and use the database. In these circumstances students should contact their lecturer to enquire about alternative arrangements that are available.

Distribution of grades policy

Academic Quality Assurance Committee monitors the performance of students, including attrition, further study and employment rates and grade distribution, and College reports on quality assurance processes for assessment activities, including alignment with national and international disciplinary and interdisciplinary standards, as well as qualification type learning outcomes. Since first semester 1994, ANU uses a grading scale for all courses. This grading scale is used by all academic areas of the University.

Support for students

The University offers students support through several different services. You may contact the services listed below directly or seek advice from your Course Convener, Student Administrators, or your College and Course representatives (if applicable).
AsPr Nan Yang
61253667
nan.yang@anu.edu.au

Research Interests


Communications theory, signal processing

AsPr Nan Yang

Wednesday 14:30 15:00
AsPr Nan Yang
61253667
nan.yang@anu.edu.au

Research Interests


AsPr Nan Yang

Wednesday 14:30 15:00

Responsible Officer: Registrar, Student Administration / Page Contact: Website Administrator / Frequently Asked Questions