@conference {BenChekroun2015320,
	title = {A distributed open-close access for Small-Cell networks: A random matrix game analysis},
	booktitle = {IWCMC 2015 - 11th International Wireless Communications and Mobile Computing Conference},
	year = {2015},
	note = {cited By 0},
	pages = {320-325},
	abstract = {Nowadays, Small-Cells are widely being deployed to assist and improve performance of mobile networks. Indeed, they are a promising solution to improve coverage and to offload data traffic in mobile networks. In this paper, we propose a signaling-less architecture of the heterogeneous network composed of one single Macro Base Station and a Single Small-Cell. First, we construct a game theoretic framework for channel-state independent interaction. We present many conditions for the existence of Pure Nash equilibrium. Next, and in order to capture the continuous change of the channel state, we build a random matrix game where the channel state is considered to be random (potentially ruled by some given distribution). A characterization of Nash equilibrium is provided in terms of pure strategies and mixed strategies. Convergence to Nash equilibrium is furthermore guaranteed using a variant of the well-known Combined fully distributed payoff and strategy learning. Our algorithm converges faster (only 10-20 iterations are required to converge to Nash equilibrium) and only need a limited amount of local information. This is quite promising since it says that our scheme is almost applicable for all environments (fast fading included). {\textcopyright} 2015 IEEE.},
	doi = {10.1109/IWCMC.2015.7289103},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84949516312\&doi=10.1109\%2fIWCMC.2015.7289103\&partnerID=40\&md5=09ea6932ff0311a5cea7e0dc62597821},
	author = {Ben Chekroun, S.a and Sabir, E.b and Kobbane, A.c and Tembine, H.d and Bouyakhf, E.-H.a and Ibrahimi, K.e}
}
