Optimization in Wireless Networks
Instructor: Dinesh Rajan
Phone: 214-768-1259 Fax: 214-768-3573
Office location: 311 Junkins Building, SMU campus
Office hours: TBD
Class room: TBA
Class time: Mondays 6:30 – 9:20pm
Catalog Course Description
This course exposes students to a wide variety of optimization problems in the design and operation of wireless networks. Basic linear programming and integer linear programming concepts will be introduced and explained using examples from wired and wireless networks. The course will also explain the basic structure and design of various wireless networks including cellular networks and Wireless LANs (e.g. those based on 802.11g/n).
Senior Undergraduate or Graduate student in Engineering.
This course is appropriate for both EE and EMIS students who are interested in the general area of applying optimization to wireless networks. CSE students might also find the material interesting and useful.
The course will use MATLAB and an optimization package such as AMPL or GAMS extensively. Prior working knowledge of at least one of these two languages would be useful.
Textbook and Other Related Materials
Other Good References include:
The IEEE 802.11 Handbook: A designers companion by Bob O Hara, Al Petrick IEEE publishing
Wireless networks have permeated all facets of society and are being increasingly used in many different applications. The objective of this course is to introduce to students the basic design and optimization of wireless networks. Special emphasis will be placed on a project in which students will formulate and solve relevant problems in wireless network design/operation.
Task Grade basis
Project and term paper 50%
(10% for final oral project presentation, 40% for term paper)
Final exam 10%
Class Participation 5%
For distance students, the project will count towards 55% of grade (all for term paper, none for oral presentation)
For students registered in EE 5379 the project will be simpler.
Major Topics Covered in the Course
2. Layering and
3. Signals in Time and Frequency
4. Basic modulation/demodulation methods
5. Multiple accessing schemes
6. Fading Channel models
Long term and short term fading models
7. Power control
8. Channel capacity
9. Multiple antenna systems
10. Multiuser detection and advanced transceiver techniques
11. Introduction to Linear Programming (LP)
12. Integer linear programming (ILP) and mixed ILP
13. Introduction to cellular systems
14. Basics of wireless LANs and 802.11 standard
15. Ad-hoc Routing and Sensor networks
Note: The topics will not be covered in the same order as mentioned above. The topics on LP and ILP will be covered in parallel with the wireless topics in the first half of the course.
· Disability Accommodations: Students needing academic accommodations for a disability must first be registered with Disability Accommodations & Success Strategies (DASS) to verify the disability and to establish eligibility for accommodations. Students may call 214-768-1470 or visit http://www.smu.edu/alec/dass.asp to begin the process. Once registered, students should then schedule an appointment with the professor to make appropriate arrangements.
· Religious Observance: Religiously observant students wishing to be absent on holidays that require missing class should notify their professors in writing at the beginning of the semester, and should discuss with them, in advance, acceptable ways of making up any work missed because of the absence. (See University Policy No. 1.9.)
· Excused Absences for University Extracurricular Activities: Students participating in an officially sanctioned, scheduled University extracurricular activity should be given the opportunity to make up class assignments or other graded assignments missed as a result of their participation. It is the responsibility of the student to make arrangements with the instructor prior to any missed scheduled examination or other missed assignment for making up the work. (University Undergraduate Catalogue)
· Student Learning Outcomes: The following ABET outcomes are applicable to this course.
Outcome A: Ability to apply knowledge of Mathematics, science & engineering
Outcome B: Ability to design and conduct experiments, as well as to analyze and interpret data
Outcome E: Ability to identify, formulate, and solve engineering problems
· Final Exams: Final course examinations shall be given in all courses where they are appropriate, and some form of final assessment is essential. Final exams or final assessments must be administered as specified in the official examination schedule, and shall not be administered during the last week of classes or during the Reading Period. The final exam will be held during exam’s week as per the schedule given in the SMU Registrar’s webpage.