摘要
在协作通信系统中,合理的资源分配对于提升系统性能具有重要意义。针对多用户协作通信系统能耗不断增加、用户服务质量难以得到保证等问题,提出一种基于改进智能水滴算法的能效优化资源分配方案。该算法以系统的能量效率为优化目标,在智能水滴算法的基础上引入遗传算法,对寻找的路径以一定的概率进行交叉变异操作,从而达到加快算法收敛速度、提升寻优效果的目的。仿真结果表明,同蚁群算法相比,基于改进的智能水滴资源分配方案能够在满足用户服务质量的条件下有效提高能量效率,提升系统性能。
Reasonable resource allocation for cooperative communication system plays an important role in enhancing system performance.In order to decrease the energy consumption of multi-user cooperative communication system and ensure the user service quality difficult, this paper proposed an energy efficiency optimization resource allocation scheme based on improved intelligent water drop algorithm. This algorithm takes the energy efficiency of the system as the optimi-zation target. Based on the intelligent water drop algorithm and combined with the genetic algorithm, the path sought is crossed and mutated with a certain probability, which can achieve rapid convergence and better optimization effect. The simulation results indicate that compared with ant colony algorithm,the proposed improved intelligent water droplet resource allocation scheme can effectively improve system energy efficiency and system performance.
作者
白鹤
刘紫燕
唐虎
毛攀
Bai He;Liu Ziyan;Tang Hu;Mao Pan(College of Big Data and Information Engineering,Guizhou University,Guiyang 550025,China;China Mobile Group Design Institute Co.,Ltd.,Chongqing Branch,Chongqing 401121,China;Huaxin Consulting Co.,Ltd.,Hangzhou 310014,China)
出处
《电子测量技术》
2019年第22期129-134,共6页
Electronic Measurement Technology
基金
贵州省科学技术基金项目(黔科合基础[2016]1054)
贵州省联合资金项目(黔科合LH字[2017]7226号)
贵州大学2017年度学术新苗培养及创新探索专项(黔科合平台人才[2017]5788)
国家自然科学基金(61863006)
贵州省科技计划重点项目([2019]1416)资助
关键词
资源分配
能效
遗传算法
智能水滴
resource allocation
energy-efficient
genetic algorithm
intelligent water drops
