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Energy Efficiency Maximization of AF Relaying SWIPT Systems with Energy Recycling

机译:带有能量回收功能的AF中继SWIPT系统能效最大化

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This paper studies a wireless-powered amplify-and- forward (AF) relaying system, where the relay harvests energy from the source or itself using an antenna switching protocol. At the first time slot, each antenna of the relay either receives information or harvests energy from the source and, then, a subset of antennas is chosen to forward information while the remaining antennas continue to harvest energy at the second time slot, which enables energy recycling. To maximize the energy efficiency of the relaying system, a mixed- integer non- linear fractional-combinatorial problem is formulated, which is however mathematically intractable. Accordingly, a suboptimal low-complexity iterative algorithm is developed, including joint power allocations at the source and relay and antenna switching at the relay. In particular, the joint power allocations is first performed by the BCD and Dinkelbach algorithms for a given antenna combination in the inner iteration while a low-complexity greedy algorithm is adopted to select the optimal antenna subset in the outer iteration. Simulation results demonstrate that energy recycling benefits higher energy efficiency.
机译:本文研究了无线放大转发(AF)中继系统,其中中继使用天线切换协议从源或自身收集能量。在第一个时隙,中继器的每个天线要么从源接收信息或收集能量,然后选择天线的子集来转发信息,而其余天线在第二个时隙继续收集能量,从而实现能量回收。为了使中继系统的能量效率最大化,提出了混合整数非线性分数组合问题,但是这在数学上是棘手的。因此,开发了次优的低复杂度迭代算法,包括源和中继处的联合功率分配以及中继处的天线切换。具体而言,首先由BCD和Dinkelbach算法针对内部迭代中的给定天线组合执行联合功率分配,而采用低复杂度贪婪算法在外部迭代中选择最佳天线子集。仿真结果表明,能量回收可提高能源效率。

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