Genetic algorithm based cross-layer resource allocation for wireless ofdm networks with heterogeneous traffic

We propose the genetic algorithm (GA) based cross-layer resource allocation for the downlink multiuser wireless orthogonal frequency division multiplexing (OFDM) system with heterogeneous traffic. The GA is used to maximize the sum of weighted capacities of multiple traffic queues at the physical (PHY) layer, where the weights are determined by the medium access control (MAC) layer. Simulation results demonstrate that the GA significantly outperforms the existing algorithm in terms of the system bandwidth efficiency, best-effort (BE) traffic throughput and quality of service (QoS) traffic delay.