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Multiple-Objective Power Control Algorithm Based on Successive Interference Cancellation Algorithm

机译:基于连续干扰消除算法的多目标功率控制算法

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Successive Interference Cancellation(SIC) is a multiuser detection algorithm, which can effectively combat multiple access interference in wireless networks. In wireless network system, the network throughput can be improved by using serial interference elimination algorithm and the transmitting power of control nodes. However, in practical applications, pursuing network throughput should also consider saving system energy consumption. In response to this situation, a multiple-objective power control model based on a successive interference cancellation is established with two optimization objectives, minimize the total system transmit power and maximize the average network throughput of the system nodes. An improved NSGA-II algorithm is used to optimize the model globally. A clustering distance-based elimination strategy is designed to maintain the population distribution. The effects of the improved NSGA-II algorithm on the problem are analyzed through simulation experiments. The results of 20 groups of contrastive experiments show that the Pareto solution obtained by the proposed algorithm is superior to the PESA-II algorithm and the MOPSO algorithm.
机译:连续干扰消除(SIC)是一种多用户检测算法,可以有效抵抗无线网络中的多址干扰。在无线网络系统中,可以通过使用串行干扰消除算法和控制节点的发射功率来提高网络吞吐量。但是,在实际应用中,追求网络吞吐量还应考虑节省系统能耗。响应于这种情况,建立了基于连续干扰消除的多目标功率控制模型,该模型具有两个优化目标,即最小化总系统发射功率并最大化系统节点的平均网络吞吐量。改进的NSGA-II算法用于全局优化模型。设计了基于聚类距离的消除策略,以维持种群分布。通过仿真实验分析了改进的NSGA-II算法对该问题的影响。 20组对比实验的结果表明,该算法获得的Pareto解优于PESA-II算法和MOPSO算法。

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