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Syllabus Course Title:

EECE 695j Advanced Topics- Introduction to Space-Time Wireless Communications (Fall 2013)

offered by Dept. of Electrical Eng (EE), Pohang University of Science and Technology (POSTECH). Class Meetings:

TTh 14:00--15:15 at LG 104. For exceptions, see Schedule/Downloads. Instructor: Professor Joon Ho Cho

Office) LG 419

Phone) +82-54-279-2377

E-mail) jcho (at) postech dot ac dot kr

Office Hours: By appointment. TA: Minuk Kim thisnuk (at) postech doc ac doc kr 054-279-8017 Homepage:

It is your responsibility to check every new announcement posted in the homepage. Text:  

D. Tse and P. Viswanath, Fundamentals of Wireless Communications. Cambridge Univ. Press, 2005. References:

A. Paulraj and R. Nabar, and D. Gore, Introduction to Space-Time Wireless Communications.

Password protected lecture notes are available at  Schedule/Downloads.

VOD is accessible at Choose 2007 CS track MIMO Wireless Communications by  Arogyaswami Paulraj.

S. Barbarossa, Multiantenna Wireless Communication Systems.
A. Goldsmith, Wireless Communications.
E. Biglier et al., MIMO Wireless Communications. Course Objectives:  

The course objective is to let the student obtain
1) the knowledge on various modulation and coding schemes for space-time wireless communications, and
2) the capability of formulating and solving new fundamental problems in space-time wireless communications. Course Outline

  1. Introduction
  2. Wireless channel
  3. Point-to-point Communication: detection, diversity and channel uncertainty
  4. Cellular systems: multiple access and interference management
  5. Capacity of wireless channels
  6. Multiuser capacity and opportunistic communication
  7. MIMO I: spatial multiplexing and channel modeling
  8. MIMO II: capacity and multiplexing architecture
  9. MIMO III: diversity-multiplexing tradeoff and universal space-time codes
  10. MIMO IV: multiuser communication Prerequisites:

EECE 574 Probability and Random Processes, EECE 577 Information and Coding Theory, EECE578 Digital Communication, EECE 645 Statistical Signal Processing
Computer programming skills (MATLAB or C)

Contact the instructor for questions about prerequisites. Course Requirements:

1. 1st midterm exam (Fri. 10/4, 7:30pm-12 pm, LG 104, Meetings 1-9) 

20 %

2. 2nd midterm exam (Fri. 11/1, 7:30pm-12 pm, LG 104, Meetings 1-18)  20 %

3. Final exam (Tue. 12/17, 7:30pm-12pm, LG 104, Meetings 1-29) 

30 %

4. Homework

20 %

5. Participation and Project 

10 %

100 %

In each exam, a student is allowed to bring an A4-size crib sheet written on both sides.  

Course participation is graded subjectively by the instructor based on the class attendances, active participation in discussions, office hour visiting, etc. Grading Policies for Homework 

1. Homework will be assigned approximately every week.
2. I allow collaboration on the homework. However, students must submit his/her own solutions and provide the names of collaborators.
3. Re-grade requests must be filed in writing within one week after the graded homework has been returned to students.
4. Only 30% of assigned problems per each assignment will be graded.
5. Each sub-problem will be graded according to the following scale: 100%, 60%, 20%, and 0%. Grading Policies for Exam 

1. Students may take exams earlier than the original schedule if he/she requests at least one week earlier.
2. Excused class absence on an exam day may lead to a make-up exam for the absentee.
3. Re-grade requests must be filed in writing within one week after the graded exam has been returned to students.
4. Each sub-problem will be graded according to the following scale: 100%, 60%, 20%, and 0%. Policy on Academic Dishonesty

If the instructor suspects academic dishonesty, the instructor will notify the student(s) and follow the procedure to report to the Graduate School without any exception. Students have the responsibility to be knowledgeable about the consequences of dishonesty.