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Adaptive Shuffled Frog Leaping Algorithm For Optimal Power Rate Allocation: Power Line

机译:最优功率分配的自适应混洗蛙跳算法:电力线

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Resources allocation has become an essential component for high-speed networking data systems. Several studies have proven that conventional spectrum allocation approaches are becoming insufficient to address the rapid demand in networking spectrum which resulted in spectrum under utilization. The main goal of this work is to develop a new model for resource allocation using Shuffled Frog Leap Algorithm (SFLA). Thus, a modified power for optimal allocation strategy is introduced and integrated to a simple OFDM functions according to the research's aims. Then, the solution has been numerically validated and verified by simulations based powerline channel. Finally, the system performance was evaluated in term of system's capacity, allocated bit/power, and convergence.
机译:资源分配已成为高速网络数据系统的重要组成部分。多项研究证明,常规频谱分配方法已不足以满足网络频谱的快速需求,这导致频谱被利用。这项工作的主要目标是使用随机蛙跳算法(SFLA)开发一种新的资源分配模型。因此,根据研究目的,引入了用于最优分配策略的改进功率并将其集成到简单的OFDM功能中。然后,通过基于电力线信道的仿真对解决方案进行了数值验证和验证。最后,根据系统容量,分配的位/功率和收敛性评估了系统性能。

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