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Study of relay energy optimization in a Cooperative ARQ scheme based on Analog Network Coding

机译:基于模拟网络编码的协同ARQ方案中的中继能量优化研究

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In this paper, we propose to optimize the distribution of the average relay energy in a Cooperative Automatic Repeat reQuest (C-ARQ) scheme. We consider wireless transmissions over Rayleigh fading channels between two sources nodes, one relay node and one destination node. We propose to use specific relay and destination treatment for different possible cases. When only one received packet is detected erroneous, the relay retransmits it and the detection is based on the Maximum Ratio Combining (MRC). When both received packets are detected erroneous, the relay retransmits the combination of both packets and the Minimum Mean Square Error (MMSE) is used for packets detection. We propose to allocate to the relay different energies according to the number of retransmitted packets and also according to the retransmission number. Thus, we find the optimal relay energy distribution which maximizes the system throughput under constraints on the maximum transmitted energies. To do this, we derive semi-analytical bounds of the throughput and the average relay energy. Numerical results show that the relay energy optimization leads to a significant improvement compared to the fixed allocation relay energy scheme.
机译:在本文中,我们建议在协作自动重复请求(C-ARQ)方案中优化平均中继能量的分配。我们考虑在两个源节点,一个中继节点和一个目的节点之间的瑞利衰落信道上进行无线传输。我们建议针对不同的可能情况使用特定的中继和目标处理。当仅检测到一个接收到的数据包错误时,中继器会重新发送该数据包,并且该检测基于最大比率合并(MRC)。当两个接收到的数据包都被错误检测到时,中继将重新发送这两个数据包的组合,并且最小均方误差(MMSE)用于数据包检测。我们建议根据重发数据包的数量以及重发次数为中继分配不同的能量。因此,我们找到了最佳的中继能量分布,该能量分布在最大传输能量的约束下使系统吞吐量最大化。为此,我们得出吞吐量和平均中继能量的半解析范围。数值结果表明,与固定分配的中继能量方案相比,中继能量优化带来了显着的改进。

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