超密集网基于干扰公平及多维协作的虚拟小区生成算法

在超密集网络场景中,小区密度持续增加使得干扰关系更加复杂,重叠虚拟小区结构使得资源分配深度耦合,导致虚拟小区选择成为影响系统性能的因素之一.为此,针对虚拟小区边权重设计,采用联合资源分配前置化思想,提出一种综合了干扰公平功率分配、MU-MIMO配对及协作传输诸增益因素的权重方案.针对虚拟小区成簇,基于提出的权重设计准则,通过最大权重成对小区成簇算法实现虚拟小区可重叠成簇.仿真结果表明,提出的虚拟小区生成算法可在低计算复杂度的前提下保证系统性能的改善.

Virtual cell forming algorithm based on interference fair and multi-dimensional cooperation for ultra-dense network

Virtual cell is identified as one of factors affecting the system performance in ultra-dense network where the interference is complex with the increasing density of cells and the resource allocation strategies of different dimensions were coupled in overlapped virtual cells.Therefore,aiming at designing the edge weight of virtual cells,an algorithm considering the resource allocation in advance was proposed by taking interference fair power allocation,MU-MIMO operation and cooperative transmission into account simultaneously.Based on the proposed scheme of weight,the overlapped virtual cells could be formed by the proposed clustering algorithm named pairwise maximum weights.The simulation results demonstrate that the proposed algorithm can improve the sum-rate performance of the network effectively at a low complexity.