Optimum radio resource management in carrier aggregation based LTE-Advanced systems

Carrier aggregation (CA) functionality introduces new challenges for radio resource management (RRM) function of network. In this paper, an optimum and efficient RRM algorithm is proposed for Long Term Evolution-Advanced with reduced complexity and compared with the state-of-The-Art (SOTA) solutions. The proposed algorithm optimally assigns component carriers, resource blocks, and modulation and coding scheme values to users, based on their channel state information andCAcapabilities. Most of the SOTA solutions are based on approximate approaches that have much inferior performance compared to the performance of our proposed optimal solution. Furthermore, performance of the proposed solution has been evaluated using system-level simulations, and results show clearly that the proposed algorithm outperforms the SOTA algorithms in terms of fairness throughput and average cell throughput.