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Max-Min Energy-Efficiency Optimization in Wireless Powered Communication Network with Harvest-Then-Transmit Protocol

机译:收割-发送协议的无线通信网络中的最大-最小能量效率优化

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In this paper, we propose an energy-efficient transmission scheme for wireless powered communication networks with harvest-then-transmit protocol. Specifically, considering fairness among users, we present time resource allocation scheme to maximize the individual energy efficiency(EE) of each user, defined as a ratio of the user throughput to its harvested energy,based on the max-min criterion. EE optimization problem is highly non-convex and difficult to directly tackle. To solve this difficulty, we initially convert two EE problem into its equivalent parameterized subtractive form and, then, the corresponding optimal solution is determined via efficient two-layer iterative algorithm. The simulation results show that the proposed scheme provides better EE performances than those of the conventional schemes and the fairness-based algorithm considerably outperforms the other schemes in terms of the minimum user EE.
机译:在本文中,我们提出了一种采用先收后发协议的无线通信网络的节能传输方案。具体而言,考虑到用户之间的公平性,我们提出了一种时间资源分配方案,以基于最大-最小标准将每个用户的个体能源效率(EE)最大化,定义为用户吞吐量与其所收获能量的比率。 EE优化问题是高度不凸的,并且很难直接解决。为解决这一难题,我们首先将两个EE问题转换为其等效的参数化减法形式,然后通过高效的两层迭代算法确定相应的最优解。仿真结果表明,所提出的方案具有比常规方案更好的EE性能,并且基于公平性的算法在最小用户EE方面明显优于其他方案。

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