@inproceedings{0b7c19fca1b2420f96d5fc892b50622a,
title = "A game-theoretic approach to network slicing",
abstract = "In this paper, we discuss using a game-theoretic approach for Network Slicing (in particular RAN Slicing) that enables fully dynamic allocation of spectrum. The algorithm allows radio resources from across the whole spectrum to be allocated to users from different slices, so avoiding the inefficiencies of fixed slices. By using game theory, we can apply constraints on the resources allocated to individual users, or users from particular slices, to meet the requirements of the operator. The scenario adopted is a multi-cell OFDMA network and the resource allocation is performed using a non-cooperative game. Simulation results show why such an approach leads to more efficient and fairer networks.",
keywords = "RAN slicing, game theory, network slicing",
author = "Xu Yang and Yue Liu and Chou, {Ka Seng} and Laurie Cuthbert",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 27th International Telecommunication Networks and Applications Conference, ITNAC 2017 ; Conference date: 22-11-2017 Through 24-11-2017",
year = "2017",
month = dec,
day = "15",
doi = "10.1109/ATNAC.2017.8215397",
language = "English",
series = "2017 27th International Telecommunication Networks and Applications Conference, ITNAC 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--4",
booktitle = "2017 27th International Telecommunication Networks and Applications Conference, ITNAC 2017",
address = "United States",
}