@inproceedings{3c5dd0a906bc4f2792ca5ff4308da1d6,
title = "On modeling channel selection in LTE-U as a repeated game",
abstract = "This paper addresses the channel selection problem for Long Term Evolution Unlicensed (LTE-U). Channel selection is a frequency-domain mechanism that facilitates the coexistence of multiple networks sharing the unlicensed band. In particular, the paper considers a fully distributed approach where each small cell autonomously selects the channel to set-up an LTE-U carrier. The problem is modeled using a non-cooperative repeated game and the Iterative Trial and Error Learning-Best Action (ITEL-BA) learning algorithm is used to drive convergence towards a Nash Equilibrium. The proposed approach is evaluated by means of simulations in different situations analyzing both the throughput performance and the convergence behavior.",
keywords = "Channel Selection, Game Theory, LTE-U, Unlicensed bands",
author = "J. Perez-Romero and O. Sallent and H. Ahmadi and I. Macaluso",
year = "2016",
month = sep,
day = "12",
doi = "10.1109/WCNC.2016.7564743",
language = "English",
series = "IEEE Wireless Communications and Networking Conference, WCNC",
publisher = "IEEE",
booktitle = "2016 IEEE Wireless Communications and Networking Conference, WCNC 2016",
address = "United States",
note = "2016 IEEE Wireless Communications and Networking Conference, WCNC 2016 ; Conference date: 03-04-2016 Through 07-04-2016",
}