Algoritma genetika untuk manajemen transponder satelit komunikasi

Abstract

The aim of the research was to develop an optimization model, which is able to optimize transponder capacity based on their parameters, namely: gain flatness, bandwidth, linearity of amplifier, power flux density and characteristic of ground segment. The characteristic as a function of antenna diameter, power transmit, modulation, and forward error correction code rate. The genetic algorithm optimizer have been developed, was able to find 8.88% higher cumulative data rate (capacity) than conventional one. Also, it can prove that the impact of gain flatness is reducing (1.71%) the capacity of transponder. This system needs a uniform antenna diameter of earth stations. The larger antenna of earth station, the higher capacity of transponder. For coming research, it is suggested to design a system that has an un-uniform diameter antenna of earth station, and to optimize the power of transmitter and figure of merit to support the optimal transponder capacity.