Title
Spectrum Sharing For Lte And Wifi Coexistence Using Decision Tree And Game Theory
Abstract
In this paper, a spectrum sharing scheme adapted for the operation of Long Term Evolution (LTE) in unlicensed band (LTE-U) and WiFi system is proposed. This scheme optimizes the resource in unlicensed band based on decision tree learning and repeated game. We consider a flexible architecture decoupling control plane from data plane in the coexistence system. In control plane, strong ability of data processing is provided. Controllers learn the latest data set in the pool to build decision trees. According to the decision tree, controllers deduce the network status of the opponent. Repeated game is played to share spectrum resources for maximizing the resource utilization in the coexistence system. At the beginning of each game stage, controllers use decision tree to make informed decisions quickly. In repeated game, an encouragement mechanism is proposed to stimulate operators to share spectrum resources. Simulation results show that dynamic spectrum sharing is able to improve throughput and spectrum efficiency in unlicensed band. At the same time, this scheme also balances the traffic load and guarantees fairness among multiple systems.
Year
Venue
Keywords
2016
2016 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE
LTE-U, unlicensed band, spectrum sharing, decision tree, repeated game
Field
DocType
ISSN
Resource management,Decision tree,Forwarding plane,Computer science,Computer network,Real-time computing,Repeated game,Game theory,Spectral efficiency,Throughput,Decision tree learning,Distributed computing
Conference
1525-3511
Citations 
PageRank 
References 
3
0.38
8
Authors
5
Name
Order
Citations
PageRank
Feng'en Cai130.38
Yuehong Gao27915.28
Lei Cheng3111.26
Lin Sang4142.62
Dacheng Yang5813134.20