Evolutionary Programming Algorithm Applied in f-OFDM Wireless Networks Resource Allocation with Carrier Aggregation

In this paper, we propose a wireless networks resource allocation scheme whose goal is to maximize the total data rate using the Evolutionary Programming (EP) heuristic. The resource allocation algorithm performance is verified and compared to others in the literature and, in these computational simulations, we proved the superior performance of the proposal in terms of throughput. We also consider in simulated scenarios the current and candidate techniques for next generation networks such as f-OFDM (Filtered-Orthogonal Frequency Division Multiplexing) and carrier aggregation and we show that using f-OFDM it is possible to provide 10% higher transmission rate in relation to the 4G networks