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ELEC880 – Cognitive Radio

2017 – S1 Day

General Information

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Unit convenor and teaching staff Unit convenor and teaching staff Convener and Lecturer
Sam Reisenfeld
Contact via 02 9 850 6002
E6B, Room 113
Thursday, 3-5 pm
Tutor
Shahidul Islam
Credit points Credit points
4
Prerequisites Prerequisites
Admission to MEng
Corequisites Corequisites
Co-badged status Co-badged status
Unit description Unit description
Cognitive radio is a broad term that applies to many modern technologies that allow wireless and telecommunications systems to provide flexibility in the field after deployment as well as high performance in basic design and analysis where traditional techniques may be found lacking. This unit will systematically identify the key elements and concepts underlying the field and work to develop specific examples applicable to today's solutions.

Important Academic Dates

Information about important academic dates including deadlines for withdrawing from units are available at http://students.mq.edu.au/student_admin/enrolmentguide/academicdates/

Learning Outcomes

  1. Familiarity with spectrum sharing concepts in relation to Cognitive Radio Networks.
  2. Working knowledge of probability, random variables, and random processes.
  3. Working knowledge of the application of Matlab for analysis, simulation, and visualization.
  4. Working knowledge of digital modulation and signal detection.
  5. Working knowledge of link budgets and of considerations of noise and interference in Cognitive Radio Network Design.
  6. Understanding of the role of Spectrum Sensing in Cognitive Radio Networks.
  7. Understanding of the role of Agile Transmission Techniques in Cognitive Radio Networks.

General Assessment Information

A mark of 50 or more is required to obtain a passing grade.

A mark of 65 to 74 is required to obtain a credit (CR).

A mark of 75 to 84 is required to obtain a distinction (D).

A mark of 85 or above is required to obtain a high distinction (HD).

 

Assessment Tasks

Name Weighting Due
Class Exam 1 7% 28/3/2017
Class Exam 2 7% 9/5/2017
Class Exam 3 7% 30/5/2017
Report on spectrum sensing 29% 31/5/2017
Final Examination 50% Final Exam Period

Class Exam 1

Due: 28/3/2017
Weighting: 7%

Class examination on Probability, Random Variables, and Random Processes


This Assessment Task relates to the following Learning Outcomes:
  • Familiarity with spectrum sharing concepts in relation to Cognitive Radio Networks.
  • Working knowledge of probability, random variables, and random processes.
  • Working knowledge of the application of Matlab for analysis, simulation, and visualization.
  • Working knowledge of digital modulation and signal detection.

Class Exam 2

Due: 9/5/2017
Weighting: 7%

Class examination on signal detection and link budgets.


This Assessment Task relates to the following Learning Outcomes:
  • Familiarity with spectrum sharing concepts in relation to Cognitive Radio Networks.
  • Working knowledge of probability, random variables, and random processes.
  • Working knowledge of the application of Matlab for analysis, simulation, and visualization.
  • Working knowledge of digital modulation and signal detection.
  • Working knowledge of link budgets and of considerations of noise and interference in Cognitive Radio Network Design.

Class Exam 3

Due: 30/5/2017
Weighting: 7%

Class examination on spectrum sensing.


This Assessment Task relates to the following Learning Outcomes:
  • Familiarity with spectrum sharing concepts in relation to Cognitive Radio Networks.
  • Working knowledge of probability, random variables, and random processes.
  • Working knowledge of the application of Matlab for analysis, simulation, and visualization.
  • Working knowledge of digital modulation and signal detection.
  • Working knowledge of link budgets and of considerations of noise and interference in Cognitive Radio Network Design.
  • Understanding of the role of Spectrum Sensing in Cognitive Radio Networks.
  • Understanding of the role of Agile Transmission Techniques in Cognitive Radio Networks.

Report on spectrum sensing

Due: 31/5/2017
Weighting: 29%

Report on spectrum sensing techniques.   The length of the report in greater than or equal to 10 pages and less than or equal to 20 pages with 11 point, Calibri font, excluding references and appendices.  The page counts for references and appendices are unlimited.  The report needs to be submitted on iLearn.  Reports showing a high degree of plagiarism will be giving a mark of 0.  The reports need to be done independently and cannot reflect a high degree of correlation with the work of other students or any previously published literature.  Work taken from the literature needs to be properly referenced.  If work is taken "word for word" without modification from the literature, the phases taken identically will need to be enclosed in parenthesis marks and the exact references, including page numbers, need to be given.


This Assessment Task relates to the following Learning Outcomes:
  • Familiarity with spectrum sharing concepts in relation to Cognitive Radio Networks.
  • Working knowledge of probability, random variables, and random processes.
  • Working knowledge of the application of Matlab for analysis, simulation, and visualization.
  • Working knowledge of digital modulation and signal detection.
  • Working knowledge of link budgets and of considerations of noise and interference in Cognitive Radio Network Design.
  • Understanding of the role of Spectrum Sensing in Cognitive Radio Networks.
  • Understanding of the role of Agile Transmission Techniques in Cognitive Radio Networks.

Final Examination

Due: Final Exam Period
Weighting: 50%

Closed book final examination covering the entire unit.

 


This Assessment Task relates to the following Learning Outcomes:
  • Familiarity with spectrum sharing concepts in relation to Cognitive Radio Networks.
  • Working knowledge of probability, random variables, and random processes.
  • Working knowledge of the application of Matlab for analysis, simulation, and visualization.
  • Working knowledge of digital modulation and signal detection.
  • Working knowledge of link budgets and of considerations of noise and interference in Cognitive Radio Network Design.
  • Understanding of the role of Spectrum Sensing in Cognitive Radio Networks.
  • Understanding of the role of Agile Transmission Techniques in Cognitive Radio Networks.

Delivery and Resources

Attendance at Lectures and Tutorials is required.

Students must take their own laptops to all Lectures and Tutorials.

There are no hurdle tasks.

There will be no supplementary examinations for the in-class examination.

If an in-class examination is missed by a student, the student will receive a mark of 0 for that examination.

Policies and Procedures

Macquarie University policies and procedures are accessible from Policy Central. Students should be aware of the following policies in particular with regard to Learning and Teaching:

Academic Honesty Policy http://mq.edu.au/policy/docs/academic_honesty/policy.html

Assessment Policy http://mq.edu.au/policy/docs/assessment/policy_2016.html

Grade Appeal Policy http://mq.edu.au/policy/docs/gradeappeal/policy.html

Complaint Management Procedure for Students and Members of the Public http://www.mq.edu.au/policy/docs/complaint_management/procedure.html​

Disruption to Studies Policy http://www.mq.edu.au/policy/docs/disruption_studies/policy.html The Disruption to Studies Policy is effective from March 3 2014 and replaces the Special Consideration Policy.

In addition, a number of other policies can be found in the Learning and Teaching Category of Policy Central.

Student Code of Conduct

Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: https://students.mq.edu.au/support/student_conduct/

Results

Results shown in iLearn, 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.

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 improve your marks and take control of your study.

Student Enquiry Service

For all student enquiries, visit Student Connect at ask.mq.edu.au

Equity 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.

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.

Graduate Capabilities

PG - Critical, Analytical and Integrative Thinking

Our postgraduates will be capable of utilising and reflecting on prior knowledge and experience, of applying higher level critical thinking skills, and of integrating and synthesising learning and knowledge from a range of sources and environments. A characteristic of this form of thinking is the generation of new, professionally oriented knowledge through personal or group-based critique of practice and theory.

This graduate capability is supported by:

Learning outcomes

  • Familiarity with spectrum sharing concepts in relation to Cognitive Radio Networks.
  • Working knowledge of probability, random variables, and random processes.
  • Working knowledge of the application of Matlab for analysis, simulation, and visualization.
  • Working knowledge of digital modulation and signal detection.
  • Working knowledge of link budgets and of considerations of noise and interference in Cognitive Radio Network Design.
  • Understanding of the role of Spectrum Sensing in Cognitive Radio Networks.
  • Understanding of the role of Agile Transmission Techniques in Cognitive Radio Networks.

Assessment tasks

  • Class Exam 1
  • Class Exam 2
  • Class Exam 3
  • Report on spectrum sensing
  • Final Examination

PG - Effective Communication

Our postgraduates will be able to communicate effectively and convey their views to different social, cultural, and professional audiences. They will be able to use a variety of technologically supported media to communicate with empathy using a range of written, spoken or visual formats.

This graduate capability is supported by:

Learning outcomes

  • Familiarity with spectrum sharing concepts in relation to Cognitive Radio Networks.
  • Working knowledge of probability, random variables, and random processes.
  • Working knowledge of the application of Matlab for analysis, simulation, and visualization.
  • Working knowledge of digital modulation and signal detection.
  • Working knowledge of link budgets and of considerations of noise and interference in Cognitive Radio Network Design.
  • Understanding of the role of Spectrum Sensing in Cognitive Radio Networks.
  • Understanding of the role of Agile Transmission Techniques in Cognitive Radio Networks.

Assessment tasks

  • Class Exam 1
  • Class Exam 2
  • Class Exam 3
  • Report on spectrum sensing
  • Final Examination

PG - Discipline Knowledge and Skills

Our postgraduates will be able to demonstrate a significantly enhanced depth and breadth of knowledge, scholarly understanding, and specific subject content knowledge in their chosen fields.

This graduate capability is supported by:

Learning outcomes

  • Familiarity with spectrum sharing concepts in relation to Cognitive Radio Networks.
  • Working knowledge of probability, random variables, and random processes.
  • Working knowledge of the application of Matlab for analysis, simulation, and visualization.
  • Working knowledge of digital modulation and signal detection.
  • Working knowledge of link budgets and of considerations of noise and interference in Cognitive Radio Network Design.
  • Understanding of the role of Spectrum Sensing in Cognitive Radio Networks.
  • Understanding of the role of Agile Transmission Techniques in Cognitive Radio Networks.

Assessment tasks

  • Class Exam 1
  • Class Exam 2
  • Class Exam 3
  • Report on spectrum sensing
  • Final Examination

PG - Research and Problem Solving Capability

Our postgraduates will be capable of systematic enquiry; able to use research skills to create new knowledge that can be applied to real world issues, or contribute to a field of study or practice to enhance society. They will be capable of creative questioning, problem finding and problem solving.

This graduate capability is supported by:

Learning outcomes

  • Familiarity with spectrum sharing concepts in relation to Cognitive Radio Networks.
  • Working knowledge of probability, random variables, and random processes.
  • Working knowledge of the application of Matlab for analysis, simulation, and visualization.
  • Working knowledge of digital modulation and signal detection.
  • Working knowledge of link budgets and of considerations of noise and interference in Cognitive Radio Network Design.
  • Understanding of the role of Spectrum Sensing in Cognitive Radio Networks.
  • Understanding of the role of Agile Transmission Techniques in Cognitive Radio Networks.

Assessment tasks

  • Class Exam 1
  • Class Exam 2
  • Class Exam 3
  • Report on spectrum sensing
  • Final Examination

PG - Engaged and Responsible, Active and Ethical Citizens

Our postgraduates will be ethically aware and capable of confident transformative action in relation to their professional responsibilities and the wider community. They will have a sense of connectedness with others and country and have a sense of mutual obligation. They will be able to appreciate the impact of their professional roles for social justice and inclusion related to national and global issues

This graduate capability is supported by:

Learning outcomes

  • Familiarity with spectrum sharing concepts in relation to Cognitive Radio Networks.
  • Understanding of the role of Spectrum Sensing in Cognitive Radio Networks.
  • Understanding of the role of Agile Transmission Techniques in Cognitive Radio Networks.

Assessment tasks

  • Class Exam 3
  • Report on spectrum sensing
  • Final Examination

PG - Capable of Professional and Personal Judgment and Initiative

Our postgraduates will demonstrate a high standard of discernment and common sense in their professional and personal judgment. They will have the ability to make informed choices and decisions that reflect both the nature of their professional work and their personal perspectives.

This graduate capability is supported by:

Learning outcomes

  • Familiarity with spectrum sharing concepts in relation to Cognitive Radio Networks.
  • Working knowledge of link budgets and of considerations of noise and interference in Cognitive Radio Network Design.
  • Understanding of the role of Spectrum Sensing in Cognitive Radio Networks.
  • Understanding of the role of Agile Transmission Techniques in Cognitive Radio Networks.

Assessment tasks

  • Class Exam 3
  • Report on spectrum sensing
  • Final Examination