Paper Info
Title
Congestion-Aware Distributed Network Selection for Integrated Cellular and Wi-Fi Networks.
Abstract
Intelligent network selection plays an important role in achieving an effective data offloading in the integrated cellular and Wi-Fi networks. However, previously proposed network selection schemes mainly focused on offloading as much data traffic to Wi-Fi as possible, without systematically considering the Wi-Fi network congestion and the ping-pong effect, both of which may lead to a poor overall user quality of experience. Thus, in this paper, we study a more practical network selection problem by considering both the impacts of the network congestion and switching penalties. More specifically, we formulate the usersu0027 interactions as a Bayesian network selection game (NSG) under the incomplete information of the usersu0027 mobilities. We prove that it is a Bayesian potential game and show the existence of a pure Bayesian Nash equilibrium that can be easily reached. We then propose a distributed network selection (DNS) algorithm based on the network congestion statistics obtained from the operator. Furthermore, we show that computing the optimal centralized network allocation is an NP-hard problem, which further justifies our distributed approach. Simulation results show that the DNS algorithm achieves the highest user utility and a good fairness among users, as compared with the on-the-spot offloading and cellular-only benchmark schemes.
Year
Venue
Field
2017
arXiv: Networking and Internet Architecture
Computer science,Potential game,Computer network,Network simulation,Bayesian network,Network congestion,Quality of experience,Intelligent Network,Bayesian game,Network traffic control,Distributed computing
DocType
Volume
Citations 
Journal
abs/1703.00216
0
PageRank 
References 
Authors
0.34
6
4
Name
Order
Citations
PageRank
Man Hon Cheung134221.02
Fen Hou251342.94
Jianwei Huang33643260.73
Richard Southwell420.72