2017
DOI: 10.1051/matecconf/201711404007
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A Reinforcement Learning Approach to Call Admission Control in HAPS Communication System

Abstract: Abstract. The large changing of link capacity and number of users caused by the movement of both platform and users in communication system based on high altitude platform station (HAPS) will resulting in high dropping rate of handover and reduce resource utilization. In order to solve these problems, this paper proposes an adaptive call admission control strategy based on reinforcement learning approach. The goal of this strategy is to maximize long-term gains of system, with the introduction of cross-layer i… Show more

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