EE E6762: Broadband networks



Lecturer:

Prof. Predrag Jelenkovic
Office hours: W  4:00-5:00pm
Office: 812 Schapiro Research Bldg.
Phone: (212) 854-8174
Email: predrag@ee.columbia.edu
URL: http://www.comet.columbia.edu/~predrag
Grader:   Ana Radovanovic
                Office hours: Thursdays, 4p.m. - 6 p.m.
               

Day and time: Tuesday, 4:10-6:40pm

Place: 1024 Mudd

Credits: 4.5

Prerequisites: E6711 - Stochastic Signals and Noise and E6761 - Computer Communication Networks, or equivalent
knowledge of stochastic processes and communication networking, respectively.

Description: Introduction to recent research topics and mathematical techniques used in modeling, analysis and control of communication networks. The course will cover various problems related to providing Quality of Service in TCP/IP-based, ATM-based or wireless packet mulimedia networks. Special emphasis will be given on nontraditional teletraffic models with subexponential/heavy-tailed characteristics. These models are used in modeling emerging traffic paradigms, such as variable bit rate video and Internet data/web applications.  

Required text: lecture notes and research papers will be used.

Homework: will be assigned occasionally.

Midterm exam: take home (if any)

Final exam: a written paper and (possibly) an oral presentation on a selected research problem.

Grading: TBA

Software requirements: access to MATHEMATICA or MATLAB is required.

Selected topics: pdf



 
 



Date
Lecture #
Topics/chapters covered
Hwk assigned
Hwk due
Jan 22
1
 Lecture 1 - Traffic modeling ( pdf )
Suggested reading: paper1( ps ),
paper2 ( url ), paper3 ( url )
 

2
 Lecture 2 - Queues, Random Walks and Ladder Heights  ( ps )

     Hwk 1 assigned

3
 Lecture 3 - Heavy Tails and Fluid Queues
(  ps )
    Hwk 2 assigned

4
 Lecture 4 - Network Multiplexer with On-Off Flows ( ps )
Suggested reading: paper1( ps ),
paper2 ( zip )
    Hwk 3 assigned

5
 Lecture 5 - Completed lecture 4 and discussed simulation methods ( ps )


6
 Lecture 6 - General processor sharing (GPS)  ( ps )
Suggested reading: paper1 ( pdf ),
paper2 ( pdf ), paper3 ( url )
   Hwk 4 assigned

7
 Lecture 7 - Queue measurement ( ps )


8
 Lecture 8 - Web caching (part I) ( ps )


9
 Lecture 9 - Web caching (part II) ( ps )


10
 Lecture 10 - Dyadic stream merging algorithm ( ps )
Suggested reading: ( url )


 11
 Lecture 11 - Advance reservations ( ps )
 

12
 Lecture 12 - Network flow control ( ps ) and suggested reading ( ps ),
Internet pricing ( ps ) and suggested reading ( ps )



        13
 Lecture 13 - Wireless data networks ( pdf )
Suggested reading: ( pdf )