首页> 外文会议>European signal processing conference;EUSIPCO 2009 >GENETIC ALGORITHM BASED CROSS-LAYER RESOURCE ALLOCATION FOR WIRELESS OFDM NETWORKS WITH HETEROGENEOUS TRAFFIC
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GENETIC ALGORITHM BASED CROSS-LAYER RESOURCE ALLOCATION FOR WIRELESS OFDM NETWORKS WITH HETEROGENEOUS TRAFFIC

机译:基于遗传算法的异构业务无线OFDM网络的跨层资源分配

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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.
机译:我们为异构业务的下行多用户无线正交频分复用(OFDM)系统提出了一种基于遗传算法(GA)的跨层资源分配方法。 GA用于最大化物理(PHY)层上多个流量队列的加权容量之和,其中权重由媒体访问控制(MAC)层确定。仿真结果表明,GA在系统带宽效率,尽力而为(BE)流量吞吐量和服务质量(QoS)流量延迟方面明显优于现有算法。

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