《计算机应用研究》|Application Research of Computers

能效优先的用户关联与功率控制协同优化机制

Collaborative optimization mechanism of energy efficient user association and power control

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作者 彭大芹,王付龙,孙向月
机构 1.“新一代信息网络与终端”重庆市协同创新中心,重庆 400065;2.重庆邮电大学 电子信息与网络工程研究院,重庆 400065
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文章编号 1001-3695(2019)06-056-1868-05
DOI 10.19734/j.issn.1001-3695.2017.12.0827
摘要 在异构蜂窝网络中,针对系统的能效提出了一种基于效用函数最大化模型的用户关联与功率控制协同优化方案,该方案表示为非线性混合整数问题。为了求得该问题的最优解,设计了一种迭代算法,首先将原问题转换为带参数的多项式形式的问题,在外层循环利用Dinkelbach方法求得最佳的能效因子,然后在内层循环分别求得最佳的用户关联矩阵和传输功率。最终实验结果表明,用户关联与功率控制协同的优化方案在能效和负载平衡方面比固定功率条件下的用户关联策略的性能更优。
关键词 能效; 异构蜂窝网络; 效用函数; 用户关联; 功率控制; 非线性混合整数; 迭代算法
基金项目 工信部新一代宽带无线移动通信网重大专项资助项目(2016ZX03002019-007)
本文URL http://www.arocmag.com/article/01-2019-06-056.html
英文标题 Collaborative optimization mechanism of energy efficient user association and power control
作者英文名 Peng Daqin, Wang Fulong, Sun Xiangyue
机构英文名 1.Chongqing Collaborative Innovation Center for Information Communication Technology,Chongqing 400065,China;2.Electronic Information & Networking Research Institute,Chongqing University of Posts & Telecommunications,Chongqing 400065,China
英文摘要 This paper presented a collaborative optimization scheme based on the utility function maximization model for user association and power control to increase energy efficiency in heterogeneous cellular networks, this scheme expressed as a nonlinear and mixed integer problem. In order to found the optimal solution of this problem, it designed an iterative algorithm, first, it transformed the original problem into a polynomial problem with parameters, then, found the best energy efficiency factor by Dinkelbach method in outer layer, next, it obtained the optimal user association matrix and transmission power respectively in inner layer. At last, experimental results show that the proposed scheme has better performance in terms of energy efficiency and load balancing than the user association strategy at fixed power.
英文关键词 energy efficiency; heterogeneous cellular network; utility function; user association; power control; nonlinear and mixed integer; iterative algorithm
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收稿日期 2017/12/15
修回日期 2018/2/27
页码 1868-1872
中图分类号 TN929.5
文献标志码 A