论文标题
通过SER分析，用于启用旋转的差异DF接力网络的近最佳检测器
Near-optimal Detector for SWIPT-enabled Differential DF Relay Networks with SER Analysis
论文作者
论文摘要
在本文中，我们分析了同时无线信息和功率传输（SWIPT）的符号错误率（SER）启用了三节点差分解析（DDF）继电器网络，该网络在继电器上采用了电源分配（PS）协议。使用非连通差调制的使用消除了发送训练符号以估算所有网络节点的瞬时通道状态信息（CSI）的需求，因此与相干调制相比，可以提高功率效率。但是，最先进的探测器（例如近似最大样品检测器）尚不可用绩效分析结果。现有作品依靠蒙特卡罗模拟来表明存在最佳的PS比率，从而最大程度地减少了整个SER。在这项工作中，我们提出了一个与调制尺寸有关的近乎最佳检测器。我们得出了准确的近似SER表达式，基于可以准确估计的最佳PS比率，而无需任何蒙特卡罗模拟。
In this paper, we analyze the symbol error rate (SER) performance of the simultaneous wireless information and power transfer (SWIPT) enabled three-node differential decode-and-forward (DDF) relay networks, which adopt the power splitting (PS) protocol at the relay. The use of non-coherent differential modulation eliminates the need for sending training symbols to estimate the instantaneous channel state informations (CSIs) at all network nodes, and therefore improves the power efficiency, as compared with the coherent modulation. However, performance analysis results are not yet available for the state-of-the-art detectors such as the approximate maximum-likelihood detector. Existing works rely on Monte-Carlo simulation to show that there exists an optimal PS ratio that minimizes the overall SER. In this work, we propose a near-optimal detector with linear complexity with respect to the modulation size. We derive an accurate approximate SER expression, based on which the optimal PS ratio can be accurately estimated without requiring any Monte-Carlo simulation.
