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A Diversity Compression and Combining Technique Based on Channel Shortening for Cooperative Networks

机译:协作网络中基于信道缩短的分集压缩合并技术

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The cooperative relaying process with multiple relays needs proper coordination among the communicating and the relaying nodes. This coordination and the required capabilities may not be available in some wireless systems where the nodes are equipped with very basic communication hardware. We consider a scenario where the source node transmits its signal to the destination through multiple relays in an uncoordinated fashion. The destination captures the multiple copies of the transmitted signal through a Rake receiver. We analyze a situation where the number of Rake fingers N is less than that of the relaying nodes L. In this case, the receiver can combine N strongest signals out of L. The remaining signals will be lost and act as interference to the desired signal components. To tackle this problem, we develop a novel signal combining technique based on channel shortening principles. This technique proposes a processing block before the Rake reception which compresses the energy of L signal components over N branches while keeping the noise level at its minimum. The proposed scheme saves the system resources and makes the received signal compatible to the available hardware. Simulation results show that it outperforms the selection combining scheme.
机译:具有多个中继的协作中继过程需要在通信节点和中继节点之间进行适当的协调。在节点配备了非常基本的通信硬件的某些无线系统中,这种协调和所需的功能可能不可用。我们考虑了一种情况,即源节点以不协调的方式通过多个中继将其信号传输到目的地。目的地通过Rake接收器捕获传输信号的多个副本。我们分析了耙指的数量N小于中继节点L的数量的情况。在这种情况下,接收器可以将L个信号中的N个最强的信号合并。剩余的信号将丢失,并且会干扰所需的信号组件。为了解决这个问题,我们开发了一种基于信道缩短原理的新颖信号组合技术。这项技术在瑞克(Rake)接收之前提出了一个处理模块,该模块压缩N个分支上L个信号分量的能量,同时将噪声水平保持在最低水平。所提出的方案节省了系统资源并使接收信号与可用硬件兼容。仿真结果表明,该算法优于选择组合方案。

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