论文标题
旋转网络中的合作继电器：使用极值理论的渐近分析用于非相同分布的RVS
Cooperative relaying in a SWIPT network:Asymptotic analysis using extreme value theory for non-identically distributed RVs
论文作者
论文摘要
本文在基于机会性继电器选择的合作中继（CR）网络中得出了最大端到端信号（E2E）信号比率（SNR）的分布，该网络在源节点和目标节点之间具有大量的非相同继电器链接。假定源节点是启用的同时无线信息和功率传递（SWIPT），并且继电器能够分解时间（TS）和基于功率分解（PS）的能量收集（EH）。与传播中的大多数文献相反，这种文献使用极值理论（EVT）得出独立和分布的序列（I.I.D。）随机变量（RVS）的极端统计数据，我们可以使用EVT工具来证明如何使用EVT工具来得出独立和非相同分布的序列和非相同的（I.N.I.N.I.N.I.N.I）的序列序列的序列统计。 E2E SNR RV。使用这些结果，我们得出了目标节点处的梯形和中断容量的表达式。最后，我们介绍了渐近结果的实用性，以确定（i）最小化停战概率和（ii）最大化目的地的ergodic能力的最佳TS和PS因子。此外，我们演示了如何利用随机排序结果来简化这些优化问题。
This paper derives the distribution of the maximum end-to-end (e2e) signal to noise ratio (SNR) in an opportunistic relay selection based cooperative relaying (CR) network having large number of non-identical relay links between the source and destination node. The source node is assumed to be simultaneous wireless information and power transfer (SWIPT) enabled and the relays are capable of both time splitting (TS) and power splitting (PS) based energy harvesting (EH). Contrary to the majority of literature in communication, which uses extreme value theory (EVT) to derive the statistics of extremes of sequences of independent and identically distributed (i.i.d.) random variables (RVs), we demonstrate how tools from EVT can be used to derive the asymptotic statistics of sequences of independent and non-identically distributed (i.n.i.d.) normalised SNR RVs and hence characterise the distribution of the maximum e2e SNR RV. Using these results we derive the expressions for ergodic and outage capacities at the destination node. Finally, we present the utility of the asymptotic results for deciding the optimum TS and PS factors of the hybrid EH relays that (i) minimise outage probability and (ii) maximise ergodic capacity at the destination. Furthermore, we demonstrate how stochastic ordering results can be utilised for simplifying these optimisation problems.
