作者: Jialu Lun , David Grace
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摘要: This paper introduces a cognitive green topology management scheme for future 5Gnetworks, which can be used to reduce energy consumption in low traffic scenarios. The is based on backhaul link selection algorithm aims concentrate distributed fewer links by exploiting diversity from other cells. A reinforcement learning resource assignment has been introduced work conjunction with the scheme. It shown that total reduced up 35% marginal Quality of Service compromises. In addition, tradeoff between saving and control overhead also explored this paper.