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Resource Scheduling and Energy Cooperation in HetNet with Cross-Layer Interference Constraints

机译:具有跨层干扰约束的Hetnet中的资源调度和能量合作

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Facing more and more severe global warming problems, renewable energy, as an alternative to traditional fossil fuels, is attracting more and more attentions due to its capability of reducing carbon emission. This paper considers two-tier HetNets with orthogonal frequency division multiple access (OFDMA), where the macro base station (MBS) is powered by power grid and small base stations (SBSs) have hybrid energy supplies. Through smart grid, SBSs can share their renewable energy with each other. We consider the problem of cross-layer interference caused by spectrum reuse, the burst of user data, and the randomness of renewable energy arrivals. Through energy cooperation, this paper investigates maximizing the time-average energy efficiency of SBSs. Based on user data queue and SBS energy queue, the optimal problem is decoupled into two subproblems by Lyapunov optimization: resource allocation subproblem and energy scheduling and energy cooperation subproblem. By solving two subproblems, the online solution to the optimization problem is obtained. Through theoretical analysis and simulations, both user data queues and energy queues have an upper bound, the network is stable, and the proposed algorithm performs better than the basic algorithm without energy cooperation.
机译:面对越来越严重的全球变暖问题,可再生能源作为传统化石燃料的替代品,由于其降低碳排放能力,因此引起了越来越多的注意。本文考虑了具有正交频分多址(OFDMA)的双层HetNet,其中宏基站(MBS)由电网和小型基站(SBSS)提供供电,具有混合能量供应。通过智能电网,SBSS可以彼此共享可再生能源。我们考虑由频谱重用,用户数据的突发和可再生能源到来的随机性引起的跨层干扰问题。通过能源合作,本文调查了SBSS的时间平均能源效率最大限度地调查。基于用户数据队列和SBS能量队列,最佳问题由Lyapunov优化解耦为两个子问题:资源分配子块和能量调度和能量合作子问题。通过解决两个子问题,获得了优化问题的在线解决方案。通过理论分析和仿真,用户数据队列和能量队列都有一个上限,网络是稳定的,并且所提出的算法比没有能量合作的基本算法更好地执行。

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