Resource allocation schemes in Energy Efficient OFDMA system via Genetic Algorithm

Four schemes for binary solutions are proposed in this work to solve the resource allocation problem in an OFDMA system. The binary solution is sought at the early stage before applying the Genetic Algorithm to solve the real-valued problem. Each scheme performed differently in terms of Energy Efficient (EE) values obtained and the required computational cost. Out of four schemes (maxJ, maxP, minP and CP), the best scheme found in this study is CP as this scheme obtained the highest average EE with moderate computational cost.