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毫微微小区中一种基于分组的资源分配方法

张海波 彭焦阳 陈善学

电讯技术2016,Vol.56Issue(5):525-530,6.
电讯技术2016,Vol.56Issue(5):525-530,6.DOI:10.3969/j.issn.1001-893x.2016.05.009

毫微微小区中一种基于分组的资源分配方法

A Clustering-based Resource Allocation Approach for Femotcell

张海波 1彭焦阳 1陈善学1

作者信息

  • 1. 重庆邮电大学 移动通信技术重庆市重点实验室,重庆400065
  • 折叠

摘要

Abstract

In order to solve interference between femtocells efficiently,a distributed scheme is proposed to manage resources among femtocells. Firstly,femto access points( FAPs) are grouped. In order to solve the clustering optimization problem,an algorithm is presented based on mathematical modeling idea in Lingo. The algorithm cuts off the branches which deviate from the direction of the optimal solution by establishing the simplex tableau when the Branch-and-Bound algorithm is used to find the optimal solution. Secondly, a FAP is selected as a cluster head that is responsible for resource allocation among the femtocells in cur-rent cluster. A novel algorithm which modifies sub-channel allocation by the interference instruction matrix is proposed to allocate sub-channels. The simulation results show that the proposed algorithm for clustering optimization can not only obtain the optimal solution of the clustering optimization problem compared with other algorithms,but also improve the efficiency of searching for the optimal solution. Compared with other related schemes,the proposed resource allocation algorithm can reduce the inter-user interference and a-chieve the higher data rate fairness.

关键词

毫微微小区/资源分配/分组优化/用户间干扰/速率公平

Key words

femtocells/resource allocation/clustering optimization/inter-user interference/data rate fairness

分类

信息技术与安全科学

引用本文复制引用

张海波,彭焦阳,陈善学..毫微微小区中一种基于分组的资源分配方法[J].电讯技术,2016,56(5):525-530,6.

基金项目

国家自然科学基金资助项目(U1035002/L05) (U1035002/L05)

国家科技重大专项(2014ZX03003001-002) Foundation Item:The National Natural Science Foundation of China ( U1035002/L05) (2014ZX03003001-002)

The National Science and Technology Major Project (2014ZX03003001-002) (2014ZX03003001-002)

电讯技术

OA北大核心CSTPCD

1001-893X

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