Distributed power allocation with SINR constraints using trial and error learning, 2012 IEEE Wireless Communications and Networking Conference (WCNC), 2012. ,
DOI : 10.1109/WCNC.2012.6214083
URL : https://hal.archives-ouvertes.fr/hal-00770611
Fixed point optimization algorithm and its application to power control in CDMA data networks, Mathematical Programming, pp.1-12, 2010. ,
DOI : 10.1007/s10107-010-0427-x
Distributed Power Allocation With Rate Constraints in Gaussian Parallel Interference Channels, IEEE Transactions on Information Theory, vol.54, issue.8, pp.3471-3489, 2008. ,
DOI : 10.1109/TIT.2008.926399
Water filling may not good neighbors make, GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489), 2003. ,
DOI : 10.1109/GLOCOM.2003.1258540
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.147.3947
On the Nash Equilibria in Decentralized Parallel Interference Channels, 2011 IEEE International Conference on Communications Workshops (ICC), 2011. ,
DOI : 10.1109/iccw.2011.5963531
URL : https://hal.archives-ouvertes.fr/hal-00553531
A Braess type paradox in power control over interference channels, 1st International ICST Workshop on Physics Inspired Paradigms for Wireless Communications and Network, 2008. ,
DOI : 10.4108/icst.wiopt2008.3223
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.218.2742
Wireless Communications: Principles and Practice, 2001. ,
Achieving pareto optimality through distributed learning, Economics Series Working Papers, vol.557, 2011. ,
DOI : 10.1109/cdc.2012.6426834
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.258.504
Learning by trial and error, Games and Economic Behavior, vol.65, issue.2, 2008. ,
DOI : 10.1016/j.geb.2008.02.011
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.143.6837
Design of Cognitive Radio Systems Under Temperature-Interference Constraints: A Variational Inequality Approach, IEEE Transactions on Signal Processing, vol.58, issue.6, pp.3251-3271, 2010. ,
DOI : 10.1109/TSP.2010.2043138