Bargaining-Based Power Allocation of Hybrid Green Cellular Networks with Energy Harvesting

Lin Wang, Xing Zhang, Shuo Wang, Juwo Yang
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Abstract

In this paper, we investigate an energy harvesting and cooperation protocol in hybrid green cellular networks, where power beacons (PBs) overlaying with an uplink cellular network. PBs harvest renewable energy from the nature and then charge mobile terminals (MTs) with microwave power transfer in energy beamforming. The network is powered by green energy only. Owing to the space-time instability and non-uniformity of renewable energy, some PBs' energy may not be enough to support the communication. We propose a bargaining-based Green Energy Allocation Game (GEAG) and introduce a dual-level control architecture for implement green energy cooperation to improve the performance of the system. The optimal power allocation problem is solved by the Nash bargaining solution (NBS). Simulation results show that the proposed GEAG algorithm can achieve 84% gains of MT's average rate and 75% reductions of the outage probability over the conventional green energy cooperation scheme.
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基于讨价还价的能量收集混合绿色蜂窝网络功率分配
在本文中,我们研究了一种混合绿色蜂窝网络中的能量收集和合作协议,其中功率信标(PBs)与上行蜂窝网络重叠。PBs从自然界中获取可再生能源,然后在能量波束形成中利用微波功率传输给移动终端(mt)充电。该网络仅由绿色能源供电。由于可再生能源的时空不稳定性和非均匀性,一些PBs的能量可能不足以支持通信。提出了一种基于讨价还价的绿色能源分配博弈(GEAG),并引入了一种双层控制架构来实现绿色能源合作,以提高系统的性能。最优功率分配问题采用纳什议价解(NBS)求解。仿真结果表明,与传统的绿色能源合作方案相比,本文提出的GEAG算法可使MT平均率提高84%,中断概率降低75%。
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