Genetic algorithm based self-organized resource allocation in LTE-Advanced network

In order to have escalation in the throughput of LTE-Advanced network, carrier aggregation (CA) is employed for meeting the requirement set by International Telecommunication Union (ITU). Within the context of CA, component carrier (CC) selection and scheduling is the most critical task and has significant impact on the network performance. In this study, we propose a self-organized downlink resource allocation by exploiting a genetic algorithm, where the resource allocation task is considered as joint CC selection and scheduling. Primarily, each base station executes the proposed algorithm for carrying out the scheduling task. In addition, the proposed algorithm relies on the information acquired via users with the concern of minimizing the inter-cell interference. The simulation results are computed in terms of average user throughput and fairness. Furthermore, the proposed algorithm is compared with the random allocation. The results illustrates that significant performance is achieved by incorporating the proposed algorithm in terms of average throughput and fairness.