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基于非线性能量收集的DF中继网络性能分析
引用本文:李乐乐,王天赐,李波,刘继明,王彦本.基于非线性能量收集的DF中继网络性能分析[J].计算机工程与设计,2019,40(8):2123-2127,2195.
作者姓名:李乐乐  王天赐  李波  刘继明  王彦本
作者单位:西安邮电大学通信与信息工程学院,陕西西安,710121;西安邮电大学通信与信息工程学院,陕西西安,710121;西安邮电大学通信与信息工程学院,陕西西安,710121;西安邮电大学通信与信息工程学院,陕西西安,710121;西安邮电大学通信与信息工程学院,陕西西安,710121
基金项目:陕西省自然科学基础研究计划基金项目
摘    要:研究基于非线性能量收集的单向解码转发多中继的能量受限网络问题。对于传统的单中继网络,结合信息和能量同传(simultaneous wireless information and power transfer,SWIPT)技术,提出一种基于粒子群算法的功率分离策略。由于单中继网络传输的局限性,进一步设计非线性多中继的系统模型,该系统模型使用非对称功率分离策略,把提高系统中断吞吐量作为优化目标,将该系统模型方案与基于线性的同级比较方案进行比较。仿真结果验证了设计算法的有效性,表明时间切换因子、传输速率等因素对系统中断吞吐性能存在影响。

关 键 词:非线性  能量收集  信息和能量同传  粒子群优化  非对称功率分离

Performance analysis for DF relay networks based on non-linear energy harvesting model
LI Le-le,WANG Tian-ci,LI Bo,LIU Ji-ming,WANG Yan-ben.Performance analysis for DF relay networks based on non-linear energy harvesting model[J].Computer Engineering and Design,2019,40(8):2123-2127,2195.
Authors:LI Le-le  WANG Tian-ci  LI Bo  LIU Ji-ming  WANG Yan-ben
Affiliation:(School of Communication and Information Engineering,Xi ’an University of Posts and Telecommunications,Xi ’an 710121,China)
Abstract:An energy-constrained one-way decode-and-forward relay networks was researched,where a practical non-linear energy harvesting model was equipped at the relay to realize simultaneous wireless information and power transfer (SWIPT ).For the traditional single relay network,a power splitting strategy based on particle swarm optimization (PSO) was proposed.Due to the limitations of single-relay network,an energy-constrained multi-relay networks based on SWIPT was further designed.To maximize the outage throughput,an asymmetric power splitting scheme was proposed.The system model was compared to peer stra- tegies for the linear energy harvesting model.Simulation results verify the effectiveness of the algorithm.It also confirms that the time switching factor and transmit rate have an impact on the throughput performance.
Keywords:non-linear  energy harvesting  simultaneous wireless information and power transfer (SWIPT)  particle swarm optimization (PSO)  asymmetric power splitting
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