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Wi-Fi and Small Cell Network Selection Based on Alliance Game

Published: 30 May 2020 Publication History

Abstract

How to switch between Wi-Fi and small cell network effectively is an important issue for users. In this article, we propose a novel framework for cooperation among users to achieve greater revenue when they decide to switch networks. There have many articles discussing how to provide users with a way to switch between Wi-Fi and small cell networks. But they only consider non-cooperative switching between users, which is a single user switching network. Therefore, when the number of users is large or the switching cost is high, the system will consume extra costs and the performance of the system will be greatly reduced. In order to solve this problem, we propose a framework for cooperation between users to switch networks in this article, which can greatly reduce the extra loss caused by network switching and has a certain ability to bear the cost of switching networks. Specifically, without knowing the extent to which cooperative users influence the cooperative group, we design the network switching based on alliance game. When the rate obtained by some users is low in the Wi-Fi network, then the user can choose the nearby small cell network. According to the received information of users, they can choose to switch networks individually or cooperate with other users as a group to switch network. When the user chooses to switch networks in a cooperative way, the cooperative group will get a total payoff, and the system will distribute the total revenue to each user according to the proportion of each user's contribution to the group. This alliance not only improves the user's efficiency, but also reduces the congestion in the Wi-Fi network. In the simulation part of the article, we find that when the number of users increases and the switching cost is too high in one area, the benefits obtained by users cooperating to switch networks are higher than those obtained by individual users switching networks.

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cover image ACM Other conferences
ICITEE '19: Proceedings of the 2nd International Conference on Information Technologies and Electrical Engineering
December 2019
870 pages
ISBN:9781450372930
DOI:10.1145/3386415
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 30 May 2020

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  • Research-article
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  • Refereed limited

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  • Science and Technology Program of Guangzhou
  • Natural Science Foundation of China
  • Natural Science Foundation of Guangdong Province

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ICITEE-2019

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