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Modified genetic algorithm based power allocation scheme for amplify-and-forward cooperative relay network

机译:基于修改的放大和前进协作继电器网络的功率分配方案

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摘要

Cooperative relay (CR) is a favorable technique to provide better spectral efficiency and enhance the cell coverage area in a cost-effective manner. However, several undesired issues, such as high-power consumption, arise due to use of a high number of relay nodes (RNs) in the network, Moreover, in a dynamic environment, full channel state information (CSI) is not always available. Therefore, all RNs need to calculate the abrupt changes in the channel; otherwise, the overhead delay will increase and the RNs will consume higher network power. To address this, an optimized modified genetic algorithm (Modified GA) based scheme is proposed that utilizes probabilistic selection rules and fitness scores. The results are presented in terms of symbol error rate (SER), network capacity, power consumption, and power improvement in order to analyze the performance of the proposed scheme. The results show that the proposed scheme provides better overall performance as compared to conventional optimization approaches.
机译:合作继电器(CR)是一种有利的技术,可提供更好的光谱效率并以经济有效的方式增强电池覆盖区域。然而,由于在网络中使用了大量的中继节点(RNS),因此在动态环境中,不始终可用,因此在网络中使用了大量的中继节点(RNS),因此在网络中的若干中继节点(RNS)产生了几个不希望的问题。因此,所有RN都需要计算通道中的突然变化;否则,开销延迟将增加,RNS将消耗更高的网络电源。为了解决这一点,提出了一种利用概率选择规则和适合度分数的优化修改的遗传算法(修改GA)的方案。结果以符号误差率(SER),网络容量,功耗和功率改进而言,以分析所提出的方案的性能。结果表明,与传统优化方法相比,该方案提供了更好的整体性能。

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