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Performance analysis of wireless power transfer in interference alignment networks

机译:干扰对准网络中无线电力传输的性能分析

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Interference alignment (IA) is a suggested technique for multiple input multiple output (MIMO) based multipath interference channels to achieve large multiplexed gain. CSI (Channel state information) is required by IA schemes to design precoding vectors at the transmitter side. There will be significant capacity overhead in feedback link. This paper concentrates on the MIMO channels which are having overtime-correlated differential CSI feedback employed by IA design. Utmost multiplexing gain is obtained by the lowest amount of differential feedback. Because of restricted differential feedback, the interference in the upper bound is avoided by using IA system through differential CSI feedback. The analytical performance of the proposed algorithm is done using simulation results and achieved better Sum rate by using normal differential feedback and by using differential feedback through the Lloyd's algorithm.
机译:干扰对准(IA)是一种建议的技术,用于基于多输入多输出(MIMO)的多径干扰信道,以实现较大的多路复用增益。 IA方案要求CSI(信道状态信息)在发送器端设计预编码矢量。反馈链接中将存在大量的容量开销。本文着重于IA设计所采用的具有与超时相关的差分CSI反馈的MIMO信道。最大的多路复用增益是通过最小量的差分反馈获得的。由于差分反馈受限制,因此通过使用IA系统通过差分CSI反馈避免了上限干扰。拟议算法的分析性能是通过仿真结果完成的,并通过使用正常的差分反馈和通过劳埃德算法的差分反馈获得了更好的求和率。

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