[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.3837/tiis.2015.07.007

Load Balancing Algorithm of Ultra-Dense Networks: a Stochastic Differential Game based Scheme

Xu, Haitao (School of Computer and Communication Engineering, University of Science and Technology Beijing (USTB))
He, Zhen (School of Computer and Communication Engineering, University of Science and Technology Beijing (USTB))
Zhou, Xianwei (School of Computer and Communication Engineering, University of Science and Technology Beijing (USTB))

Publication Information

KSII Transactions on Internet and Information Systems (TIIS) / v.9, no.7, 2015 , pp. 2454-2467 More about this Journal

Abstract

Increasing traffic and bandwidth requirements bring challenges to the next generation wireless networks (5G). As one of the main technology in 5G networks, Ultra-Dense Network (UDN) can be used to improve network coverage. In this paper, a radio over fiber based model is proposed to solve the load balancing problem in ultra-dense network. Stochastic differential game is introduced for the load balancing algorithm, and optimal load allocated to each access point (RAP) are formulated as Nash Equilibrium. It is proved that the optimal load can be achieved and the stochastic differential game based scheme is applicable and acceptable. Numerical results are given to prove the effectiveness of the optimal algorithm.

Keywords

Load Balancing; Radio over Fiber; 5G; Ultra Dense Network (UDN); Stochastic Differential Game;

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