最小最大剩余服务时间的异构网络选择算法

doi:10.11959/j.issn.1000-436x.2015231

Journal on Communications ›› 2015, Vol. 36 ›› Issue (8): 104-109.doi: 10.11959/j.issn.1000-436x.2015231

• Topic:5G • Previous Articles Next Articles

Network selection algorithm in heterogeneous wireless networks to minimize the maximum residual service time

Bai DU,Hong-yan LI,Yan LONG

State Key Laboratory of Integrated Service Networks,Xidian University,Xi’an 710071,China

Online:2015-08-25 Published:2015-08-25
Supported by:
The National Natural Science Foundation of China;The National Natural Science Foundation of China;The National Important Science Technology Specific Project;The National Important Science Technology Specific Project;The National Important Science Technology Specific Project;The National Important Science Technology Specific Project;The 13115 Science and Technology Immolation Project of Shiaanxi Province;The National Basic Research Program of China(973 Program);The State Key Laboratory Foundation;The State Key Laboratory Foundation;The Program for Changjiang Scholars and Innovative Research Team in University

Abstract

Abstract:

Due to the problem of how to select the most suitable access network for users at any time anywhere in heterogeneous wireless networks(HWN),a distributed algorithm to minimize the difference of residual service time between different access networks was proposed.The algorithm use the Lyapunov optimization to model the network and guarantee the stability of the network.Simulation results show that the proposed algorithm can decrease the rejection ratio and achieve a shorter queue length in access networks.

Key words: heterogeneous wireless networks, network selection, residual service time, stability of network, Lyapunov

Bai DU,Hong-yan LI,Yan LONG. Network selection algorithm in heterogeneous wireless networks to minimize the maximum residual service time[J]. Journal on Communications, 2015, 36(8): 104-109.

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References 12

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Network selection algorithm in heterogeneous wireless networks to minimize the maximum residual service time

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