J. Hoydis, M. Kobayashi, and M. Debbah, Green Small-Cell Networks, IEEE Vehicular Technology Magazine, vol.6, issue.1, pp.37-43, 2011.
DOI : 10.1109/MVT.2010.939904

URL : https://hal.archives-ouvertes.fr/hal-00648111

W. Kiess and M. Mauve, A survey on real-world implementations of mobile ad-hoc networks, Ad Hoc Networks, pp.324-339, 2007.
DOI : 10.1016/j.adhoc.2005.12.003

L. Rose, S. Lasaulce, S. M. Perlaza, and M. Debbah, Learning equilibria with partial information in decentralized wireless networks, IEEE Communications Magazine, vol.49, issue.8, pp.136-142, 2011.
DOI : 10.1109/MCOM.2011.5978427

URL : https://hal.archives-ouvertes.fr/hal-00647634

I. Macaluso, L. D. Silva, and L. Doyle, Learning Nash equilibria in distributed channel selection for frequency-agile radios, Proc. Workshop on Artificial Intelligence for Telecommunications and Sensors Networks (WAITS), 2012.

Y. Xu, A. Anpalagan, Q. Wu, L. Shen, Z. Gao et al., Decisiontheoretic distributed channel selection for opportunistic spectrum access: Strategies, challenges and solutions, IEEE Communications Surveys Tutorials, vol.1, issue.99, pp.1-25, 2013.

D. Gesbert, S. Kiani, A. Gjendemsjo, and G. Ien, Adaptation, Coordination, and Distributed Resource Allocation in Interference-Limited Wireless Networks, Proc. the IEEE, pp.2393-2409, 2007.
DOI : 10.1109/JPROC.2007.907125

Y. Xu, J. Wang, Q. Wu, A. Anpalagan, and Y. Yao, Opportunistic Spectrum Access in Cognitive Radio Networks: Global Optimization Using Local Interaction Games, IEEE Journal of Selected Topics in Signal Processing, vol.6, issue.2, pp.180-194, 2012.
DOI : 10.1109/JSTSP.2011.2176916

C. Tekin, M. Liu, R. Southwell, J. Huang, and S. Ahmad, Atomic Congestion Games on Graphs and Their Applications in Networking, IEEE/ACM Transactions on Networking, vol.20, issue.5, pp.1541-1552, 2012.
DOI : 10.1109/TNET.2012.2182779

R. D. Yates, D. Tse, and Z. Li, Secret communication on interference channels, 2008 IEEE International Symposium on Information Theory, 2008.
DOI : 10.1109/ISIT.2008.4595011

R. Berry and D. Tse, Shannon Meets Nash on the Interference Channel, IEEE Transactions on Information Theory, vol.57, issue.5, pp.2821-2836, 2011.
DOI : 10.1109/TIT.2011.2119730

S. M. Perlaza, R. Tandon, H. V. Poor, and Z. Han, The Nash equilibrium region of the linear deterministic interference channel with feedback, 2012 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2012.
DOI : 10.1109/Allerton.2012.6483439

URL : https://hal.archives-ouvertes.fr/hal-01280970

H. P. Young, Learning by trial and error, Games and Economic Behavior, vol.65, issue.2, pp.626-643, 2009.
DOI : 10.1016/j.geb.2008.02.011

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.143.6837

T. Hou and T. Tsai, On the cluster based dynamic channel assignment for multihop ad hoc networks, Journal of Communications and Networks, vol.4, issue.1, pp.40-47, 2002.
DOI : 10.1109/JCN.2002.6596932

J. Pang, G. Scutari, D. P. Palomar, and F. Facchinei, 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

V. L. Nir and B. Scheers, Improved coexistence between multiple cognitive tactical radio networks by an expert rule based on sub-channel selection, Proc. Wireless Innovation Forum European Conference on Communications Technologies and Software Defined Radio SDR'11 (WInnComm-Europe), 2011.

V. , L. Nir, and B. Scheers, Autonomous dynamic spectrum management for coexistence of multiple cognitive tactical radio networks, Proc. IEEE Fifth International Conference on Cognitive Radio Oriented Wireless Networks Communications (CROWNCOM), 2010.

Y. Xu, J. Wang, Q. Wu, A. Anpalagan, and Y. Yao, Opportunistic Spectrum Access in Unknown Dynamic Environment: A Game-Theoretic Stochastic Learning Solution, IEEE Transactions on Wireless Communications, vol.11, issue.4, pp.1380-1391, 2012.
DOI : 10.1109/TWC.2012.020812.110025

D. Niyato and E. Hossain, Cognitive radio for next-generation wireless networks: an approach to opportunistic channel selection in ieee 802.11-based wireless mesh, IEEE Wireless Communications, vol.16, issue.1, pp.46-54, 2009.
DOI : 10.1109/MWC.2009.4804368

K. Liu and Q. Zhao, Distributed Learning in Multi-Armed Bandit With Multiple Players, IEEE Transactions on Signal Processing, vol.58, issue.11, pp.5667-5681, 2010.
DOI : 10.1109/TSP.2010.2062509

P. Sastry, V. Phansalkar, and M. Thathachar, Decentralized learning of Nash equilibria in multi-person stochastic games with incomplete information, IEEE Transactions on Systems, Man, and Cybernetics, vol.24, issue.5, pp.769-777, 1994.
DOI : 10.1109/21.293490

V. Belmega, S. Lasaulce, M. Debbah, and A. Hjorungnes, Learning Distributed Power Allocation Policies in MIMO Channels, Proc. European Signal Processing Conference (EUSIPCO), 2010.
URL : https://hal.archives-ouvertes.fr/hal-00554949

Y. Xing and R. Chandramouli, Stochastic Learning Solution for Distributed Discrete Power Control Game in Wireless Data Networks, IEEE/ACM Transactions on Networking, vol.16, issue.4, pp.932-944, 2008.
DOI : 10.1109/TNET.2007.911424

O. Popescu and C. Rose, 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

L. Rose, S. M. Perlaza, and M. Debbah, 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

E. Altman, V. Kumar, and H. Kameda, A Braess type paradox in power control over interference channels, Proc. 6th Intl. Symp. on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOPT), 2008.

W. Yu and R. Lui, Dual methods for nonconvex spectrum optimization of multicarrier systems, IEEE Transactions on Communications, vol.54, issue.7, pp.1310-1322, 2006.
DOI : 10.1109/TCOMM.2006.877962

R. Cendrillon, J. Huang, M. Chiang, and M. Moonen, Autonomous Spectrum Balancing for Digital Subscriber Lines, IEEE Transactions on Signal Processing, vol.55, issue.8, pp.4241-4257, 2007.
DOI : 10.1109/TSP.2007.895989

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.652.5998

R. Cendrillon, W. Yu, M. Moonen, J. Verlinden, and T. Bostoen, Optimal multiuser spectrum balancing for digital subscriber lines, IEEE Transactions on Communications, vol.54, issue.5, pp.922-933, 2006.
DOI : 10.1109/TCOMM.2006.873096

URL : http://espace.library.uq.edu.au/view/UQ:8348/osb.pdf

M. Bennis, S. M. Perlaza, P. Blasco, Z. Han, and H. V. Poor, Self-Organization in Small Cell Networks: A Reinforcement Learning Approach, IEEE Transactions on Wireless Communications, vol.12, issue.7, pp.3202-3212, 2013.
DOI : 10.1109/TWC.2013.060513.120959

URL : https://hal.archives-ouvertes.fr/hal-01281016

H. P. Young, Strategic Learning and Its Limits (Arne Ryde Memorial Lectures Sereis), 2004.
DOI : 10.1093/acprof:oso/9780199269181.001.0001

B. S. Pradelski and H. P. Young, Learning efficient Nash equilibria in distributed systems, Games and Economic Behavior, vol.75, issue.2, 2010.
DOI : 10.1016/j.geb.2012.02.017

L. Rose, S. M. Perlaza, M. Debbah, and C. L. Martret, 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

J. F. Nash, Equilibrium points in n-person games, Proc. the National Academy of Sciences of the United States of America, pp.48-49, 1950.