ECE739: Random Matrix Theory

                             for Wireless Communications

 

Course Objectives

·         To develop a deep understanding on how random matrix theory can model the complexity of interaction between wireless devices

·         To learn some fundamental random matrix methods such as the Stieltjes transform method, free probability theory, combinatoric approaches, deterministic equivalents, and spectral analysis methods for statistical inference

·         To creatively apply these core theoretical concepts to a wide range of real-world problems in wireless communications including performance analysis of CDMA, MIMO, and multi-cell networks

Course Outline              

Course Assessment

1.      One Project: 30%

2.      One Presentation 20%

3.      Final exam (taken home): 50%

Lecture and place

     One lecture a week of about 3 hours’ duration from 2:30 pm-5:30pm in ABB270on Thursday, starting on Sept. 10, 2015

Lecture Note

Textbook        

Policy reminder

Academic dishonesty consists of misrepresentation by deception or by other fraudulent means and can result in serious consequences, e.g. the grade of zero on an assignment,

loss of credit with a notation on the transcript (notation reads: "Grade of F assigned for academic dishonesty"), and/or suspension or expulsion from the university.

 

It is your responsibility to understand what constitutes academic dishonesty. For information on the various kinds of academic dishonesty please refer to the

Academic Integrity Policy, specifically Appendix 3, located at http://www.mcmaster.ca/senate/academic/ac_integrity.htm.

 

The following illustrates only three forms of academic dishonesty:

·         Plagiarism, e.g. the submission of work that is not one's own or for which other credit has been obtained.

·         Improper collaboration in group work.

·         Copying or using unauthorized aids in tests and examinations.