西安电子科技大学学报

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上行小小区网络采用累计分布函数的资源分配

王建伟;张海林   

  1. (西安电子科技大学 综合业务网理论及关键技术国家重点实验室,陕西 西安 710071)
  • 收稿日期:2017-09-22 出版日期:2018-06-20 发布日期:2018-07-18
  • 作者简介:王建伟(1987-),男,西安电子科技大学博士研究生,E-mail:wjw6916@126.com
  • 基金资助:

    高等学校学科创新引智计划(“111”计划)资助项目(B08038);国家自然科学基金资助项目(61371127)

Cumulative distribution function based resource allocation in the uplink of the small cells network

WANG Jianwei;ZHANG Hailin   

  1. (State Key Lab. of Integrated Service Networks, Xidian Univ., Xi'an 710071, China)
  • Received:2017-09-22 Online:2018-06-20 Published:2018-07-18

摘要:

为了降低上行小小区网络中共信道干扰对频谱效率的影响,提出了一种基于累计分布函数的用户调度和分布式功率分配联合优化算法.小小区基站选取信噪比累计分布函数值最大的用户进行调度,被选中的用户调整发送功率,使其对同频小区的干扰低于门限值.通过设置合理的门限值,将全局最优问题转化为分布式最优问题,采用拉格朗日对偶分解,获取最优的功率分配.仿真结果表明,该算法同传统最优功率分配算法相比,能够降低复杂度,并且具有相近的系统性能.

关键词: 小小区, 同频干扰, 累计分布函数, 用户调度, 功率分配, 分布式算法

Abstract:

In order to reduce co-channel interference and improve spectrum efficiency in the uplink of the small cells network, the joint cumulative distribution function based user scheduling and distributed power allocation are proposed. In the proposed scheduling, the small cell base station selects the user having the largest cumulative distribution function value. The selected user adjusts its transmit power to reduce the co-channel interference to other cells based on a pre-determined threshold. We then transform the original global optimization problem into a distributed problem and attain the optimal transmit powers through Lagrangian dual decomposition. Simulation results show that the simplified algorithm has the performance hearly identical to that of the conventional optimal power allocation algorithm.

Key words: small cell, co-channel interference, cumulative distribution function, user scheduling, power allocation, distributed algorithm