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

Abstract

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.