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Quality of service optimization of femtocells network using genetic algorithm

机译:遗传算法毫微微小区网络的服务质量优化

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Recently genetic algorithm based techniques have been introduced in Femtocells communication systems due to inherent advantages. Higher Quality of Service is the demand of users and service providers in day to day communication. This requires an efficient optimization technique to ensure the best quality. In this paper a genetic algorithm based technique is presented for optimization of coverage, power, and bit error rate for performance optimization of Femtocell. Simulation results demonstrate that genetic algorithm based optimization technique is an efficient technique for achieving batter performance in Femtocell environment
机译:最近,基于遗传算法的技术已经引入毫微微蜂窝通信系统,由于固有的优点。 更高的服务质量是日常沟通时用户和服务提供商的需求。 这需要一个有效的优化技术来确保最佳质量。 本文介绍了一种基于遗传算法的技术,用于优化毫微小区的性能优化的覆盖,功率和误码率。 仿真结果表明,基于遗传算法的优化技术是实现毫微微蜂窝环境中实现抗击电池性能的有效技术

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