星地融合网络中基于Q学习的切换算法研究

doi:10.11959/j.issn.1000-436x.2015240

Abstract

Abstract:

In the integrated satellite-terrestrial communication system,i.e.,mobile satellite system with ancillary terres-trial component (MSS-ATC),the long transmission delay of satellite link was a huge challenge which may lead to high handoff dropping probability.In order to address this problem,a novel handoff decision strategy was proposed based on the predictive RSS and Q-learning algorithm.Extensive simulation results demonstrate that the proposed scheme can de-crease the handoff dropping probability,reduce the unnecessary handoff times and maximize the network reward.In ad-dition,the proposed scheme can also adapt to the situation of high-speed movement very well.

Key words: handoff scheme, MSS-ATC, predictive RSS, Q-learning

Dan-ni XIONG,Yi LI. Q-learning based handoff algorithm for satellite system with ancillary terrestrial component[J]. Journal on Communications, 2015, 36(9): 252-258.

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References 24

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