1 |
S. Yoo, Y. Do, and D. Lee, " / Filter Design for Linear Discrete Time Systems via Convex Optimization" The Transaction of the Korean Institute of Electrical Engineers, vol. 45, no. 11, pp. 1603-1607, 1996.
|
2 |
S. Boyd and L. Vandenberghe, Convex optimization. Cambridge university press, 2004.
|
3 |
M. Johansson, Piecewise linear control systems. Springer, 2003.
|
4 |
B. Iem, "Performance Analysis of A Variable Bit Rate Speech Coder", The Transaction of the Korean Institute of Electrical Engineers, vol. 62, no. 12, pp. 1750-1754, 2013.
DOI
|
5 |
E. S. Levitin and B. T. Polyak, "Constrained minimization methods", USSR Computational mathematics and mathematical physics, vol. 6, no. 5, pp. 1-50, 1966.
DOI
|
6 |
G. B. Dantzig and R. Cottle, The Basic George B. Dantzig. Stanford University Press, 2003.
|
7 |
J. Callahan, K. Homan, D. Cox, D. O'Shea, H. Pollatsek, and L. Senechal, Calculus in context: the five college calculus project. WH Freeman, 1995.
|
8 |
K. Stuhlmuller, N. Farber, M. Link, and B. Girod, "Analysis of video transmission over lossy channels", IEEE Journal on Selected Areas in Communications, vol. 18, no. 6, pp. 1012-1032, 2000.
DOI
|
9 |
A. B. Tal and A. Nemirovski, Lectures on modern convex optimization: analysis, algorithms and engineering applications, Siam, 2001.
|
10 |
J. Nash, "The bargaining problem", Econometrica, vol. 18, pp. 155-162, 1950.
DOI
|
11 |
M. J. Osborne and A. Rubinstein, A course in game theory, MIT press, 1994.
|
12 |
K. Binmore, Fun and Games: A Text on Game Theory, Lexington, MA:D.C. Health, 1992.
|
13 |
K. Lee, "A Study on Transaction Pricing of Generation Bidding in Electricity Market by Using Game Theory", The Transaction of the Korean Institute of Electrical Engineers, vol. 52A, no. 6, pp. 333-339, 2003.
|
14 |
J. Shin and K. Lee, "Analysis on Incomplete Information in an Electricity Market using Game Theory", The Transaction of the Korean Institute of Electrical Engineers, vol. 55A, no. 5, pp. 214-219, 2006.
|
15 |
H. Park and Mihaela van der Schaar, "Bargaining Strategies for Networked Multimedia Resource Management", IEEE Transactions on Signal Processing, vol. 55, no. 7, pp. 3496-3511, 2007.
DOI
|
16 |
Z. Han, Z. J. Ji, and K. Liu, "Fair multiuser channel allocation for ofdma networks using nash bargaining solutions and coalitions", IEEE Transactions on Communications, vol. 53, no. 8, pp. 1366-1376, 2005.
DOI
|
17 |
J. E. Suris, L. DaSilva, Z. Han, A. B. MacKenzie, R. S. Komali et al., "Asymptotic optimality for distributed spectrum sharing using bargaining solutions", IEEE Transactions on Wireless Communications, vol. 8, no. 10, pp. 5225-5237, 2009.
DOI
|
18 |
A. Z. Shifat, M. Z. Chowdhury, and Y. M. Jang, A game theoretical approach for QoS provisioning in heterogeneous networks. ICT Express, 2015.
DOI
|
19 |
N. Enneya, R. Elmeziane, and M. Elkoutbi, "A game theory approach for enhancing QoS-Aware routing in mobile ad hoc networks", in 2009. NDT'09. First International Conference on Networked Digital Technologies, pp. 327-333, Czech, Ostrava, July 2009.
|
20 |
E. Kim, H. Park, and P. Frossard, "Low complexity iterative multimedia resource allocation based on game theoretic approach", in 2012 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1099-1102, Seoul, Korea, May 2012.
|
21 |
E. Choi and H. Park, "Transformation based low complexity algorithm for nash bargaining solutions in dynamic networks", in 2013 International Conference on Information Networking (ICOIN). pp. 365-370, Bangkok, Thailand, Jan. 2013.
|