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Quality of service optimization of femtocells network using genetic algorithm

机译:利用遗传算法优化毫微微小区网络的服务质量

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摘要

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:由于固有的优点,近来基于遗传算法的技术已经被引入毫微微小区通信系统中。更高的服务质量是用户和服务提供商在日常通信中的需求。这就需要一种有效的优化技术来确保最佳质量。在本文中,提出了一种基于遗传算法的技术,用于优化Femtocell的覆盖范围,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小区环境中电池性能的有效技术。

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