毫微微小区中一种基于分组的资源分配方法

为有效解决毫微微小区间（Femtocell）干扰，采用分布式方式对毫微微小区进行资源管理。首先，对毫微微接入点（FAPs）进行分组。基于Lingo数学建模的思想，提出了一种解决分组优化问题的算法。该算法在使用分支定界算法寻找最优解的同时，通过建立单纯形表剪去偏离最优解方向的分支；其次，每组选择一个簇头为本组内FAPs分配资源，为此，提出了新的子信道分配方法，该方法根据干扰指示矩阵修正子信道分配的情况。仿真结果表明：和其他算法相比，提出的算法不仅能找到分组优化问题的最优解，并且效率更高；另外，提出的资源分配算法不仅减小了用户间干扰，而且提高了户间速率公平。

A clustering-based resource allocation approach for femotcell

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 current 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 achieve the higher data rate fairness.