Resource Allocation Analysis with Genetic Algorithm in LTE MIMO-OFDMA Cellular System

Multipleaccess broadband era can accommodate the high level of user mobility. This causes multi user diversity, both in time domain and frequency domain. To overcome this problem it needs techniques Channel Dependent Scheduling (CDS) that is user scheduling based on localized subcarrier channel conditions. Therefore required Channel State Information (CSI) as input CDS system. The final task has been studied about the CDS in dealing with multi-user diversity with the performance parameters of the maximum data rate using Genetic Algorithm and without Genetic Algorithm. Genetic Algortihm can figure higher system capacity compare without using the algorithm. The result showed with Genetic Algorithm can provide capacity improvement.