Simone Milani's Home page

UNIPD courses

Digital Forensics (A.A 2017/2018)

Taught with silvia signorato and Debora Provolo.

3D Augmented Reality (A.A 2018/2019)

Syllabus here.

3D Augmented Reality (A.A 2017/2018)

Syllabus here. Please go to the E-elarning web page here

Computer Vision and 3D Graphics (A.A 2016/2017)

Please go to the E-elarning web page here

Computer Vision and 3D Graphics (A.A 2015/2016)

Please go to the E-elarning web page here

Internet and Multimedia Laboratory (A.A 2015/2016)

Please go to the E-elarning web page here

Source coding (A.A 2014/2015)

Please go to the E-elarning web page here

Internet and Multimedia Laboratory (A.A 2015/2016)

Please go to the E-elarning web page here

POLIMI courses

Applications of Game Theory to communication networks and other distributed problems

Main info Days: Feb. 17,21,24,28; Mar. 11 2014 Time: 9:30-13:30 Sala Seminari (Aula Beta on Feb 21st) Lecturer: Simone Milani e-mail: simone.milani@polimi.it office: room 306 - Lab. ISPG, v.le delle Rimembranze di Lambrate, 14, 20133 Milano - Italy phone: +39 02 2399 9640, +39 049 827 7641 Slides will be sent via e-mail before each lesson. Meetings can be arranged via e-mail.

Description

References

• Martin J. Osborne, An Introduction to Game Theory, Oxford University Press, 2003
• Vito Fragnelli Course on Game Theory (in italian)
• Thomas Ferguson Course on Game Theory at UCLA
• G. Owen, Game Theory, Academic press, 2001
• D. Fudenberg and J. Tirole, Game Theory, MIT press, 1991.
• Roger B. Myerson, Game Theory - Analysis of Conflict, Harvard University Press, 1991.
• A. MacKenzie and L. DaSilva, Game Theory for Wireless Engineers, Morgan & Claypool Publishers, 2006

Exam

The final exam consists in a final report concerning:

• A final report on existing GT-based approaches regarding your research field, or
• The implementation of an existing GT-based approach related to your research topic, or
• The design of a novel algorithm that employs some of the concepts overviewed in the course.

Lesson 1

The papers that will be discussed in this lesson are:

• S. Milani and G. Calvagno, "A Game Theory Based Classification for Distributed Downloading of Multiple Description Coded Videos", Proc. of the 2009 IEEE International Conference on Image Processing (ICIP 2009), Cairo, Egypt, Nov. 24-28, 2009.
• Schmidt, D.; Shi, C.; Berry, R.; Honig, M.; Utschick, W.; ``Distributed resource allocation schemes,'' Signal Processing Magazine, IEEE, vol.26, no.5, pp.53-63, September 2009.
• M. Barni, "A Game Theoretic Approach to Source Identification with Known Statistics", Proc. of the 37th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2012), Kyoto, Japan, Mar. 25-30, 2012.

Lesson 2

The papers that will be discussed in this lesson are:

• S. Rakshit and R. K. Guha, "Fair Bandwidth Sharing in Distributed Systems: A Game-Theoretic Approach", IEEE Transactions on Computers, Vol. 54, No. 11, November 2005.
• G. Wei, A. V. Vasilakos, Y. Zheng, N. Xiong, "A game-theoretic method of fair resource allocation for cloud computing services", J. Supercomput (2010) 54: 252–269.

Lesson 3

The papers that will be discussed in this lesson are:

• J. Neel, J. Reed, R. Gilles, The role of game theory in the analysis of software radio networks, in: SDR Forum Technical Conference, November, 2002.
• N. Nie, C. Comaniciu, Adaptive channel allocation spectrum etiquette for cognitive radio networks, Mobile Networks and Applications 11 (6) (2006) 779-797.

Lesson 4

The papers that will be discussed in this lesson are:

• Jianwei Huang, Zhu Han, Mung Chiang, and H. Vincent Poor, "Auction-Based Resource Allocation for Cooperative Communications", IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 26, NO. 7, SEPTEMBER 2008, PP. 1226-1237.
• Rosemary Emery-Montemerlo, "Game-Theoretic Control for Robot Teams", Ph.D. Thesis, Carnegie Mellon University Pittsburgh, PA, 2005.
• M. Pavan, M. Pelillo, "A New Graph-Theoretic Approach to Clustering and Segmentation", Proc. of CVPR 2003.
• "Dusit Niyato, Ekram Hossain, and Zhu Han, "Dynamics of Multiple-Seller and Multiple-Buyer Spectrum Trading in Cognitive Radio Networks: A Game-Theoretic Modeling Approach", IEEE TRANSACTIONS ON MOBILE COMPUTING, VOL. 8, NO. 8, AUGUST 2009, pp. 1009-1022.

Lesson 5

The papers that will be discussed in this lesson are:

• Samuel Rota Bulo', "A Game-Theoretic Framework for Similarity-Based Data Clustering", Ph.D. Thesis, University Ca' Foscari of Venice, 2009, Italy.
• E. Altman, Y. Hayel, H. Kameda, Evolutionary dynamics and potential games in non-cooperative routing, Proc. of WiOpt 2007.

You can also read some overview papers:

• Beibei Wang, Yongle Wu, K.J. Ray Liu,"Game theory for cognitive radio networks: An overview", Computer Networks 54 (2010) 2537–2561.
• I. Ahmad and J. Luo, "On Using Game Theory to Optimize the Rate Control in Video Coding", IEEE Trans. on CST, Vol. 16, No. 2, Feb. 2006, pp. 209-219.
• Farhad Meshkati, H. Vincent Poor, and Stuart C. Schwartz, "Energy-Efficient Resource Allocation in Wireless Networks: An overview of game-theoretic approaches",
• Special Issue of Signal Processing Magazine dedicated to Game Theory Based approaches, IEEE Signal Processing Magazine, vol.26, no.5, September 2009.

You can read some additional material like:

• David Easley and Jon Kleinberg, "Evolutionary Game Theory", from the book "Networks, Crowds, and Markets: Reasoning about a Highly Connected World", Chapter 7, Cambridge University Press, 2010.
• Tapan Biswas and Jolian McHardy, "STRATEGIC BEHAVIOUR OF FIRMS IN A DUOPOLY AND THE IMPACT OF EXTENDING THE PATENTING PERIOD", Sheffield Economic Research Paper Series, SERP Number: 2010014, Jun. 2010.