超密集网络中基于小区分簇的资源分配

Clustering-based resource allocation in ultra-dense networks

针对超密集网络中毫微微小区(Femtocell)之间同层干扰以及毫微微小区与宏小区(Macrocell)之间跨层干扰问题,提出了一种基于小区动态分簇的资源分配算法。该算法分为两步:第一步首先采用了基于速率公平性的子信道分配算法为宏用户分配子信道,接着利用注水算法分配功率;第二步首先根据毫微微小区之间的干扰权值大小,利用遗传模拟退火算法为FAPs分簇,其次利用启发式信道分配算法为FUEs分配子信道,采用KKT条件为用户分配功率。仿真表明,该算法能够有效抑制这两种干扰,满足用户速率需求,提升网络频谱效率。

A dynamic cell clustering-based resource allocation algorithm is proposed in this paper aiming at the interference at the same layer between femtocells and the cross-layer interference between femtocell and macrocell.The algorithm includes two steps.In the first step,a subchannel allocation algorithm based on rate fairness is used to allocate subchannels for macro users,followed by power allocation with the water-filling algorithm.In the second step,it firstly conducts clustering for FAPs by utilizing the genetic simulated annealing algorithm according to the size of the weight of the interference among femtocells,and then allocates sub-channels for FUEs by utilizing the heuristic channel allocation algorithm,and then allocates power for users by adopting KKT conditions.According to simulation results,this algorithm can restrain both of the two interferences effectively,satisfying the demands of users on speed and improving the network spectrum effectiveness.