5G系统中基于小区分群的干扰管理

为了降低5G系统中超密度小区网络的小区间干扰（ICI），提出了一种基于小区分群的干扰管理方案，其核心思想是将宏小区覆盖下的小小区分群，对群内干扰和群间干扰分别采用基于多小区协作和频域或时域的干扰避免。针对小区分群的关键即干扰权值的计算，提出了一种基于用户的信干噪比（SINR）和干扰泄露（SOIR）计算连续干扰权值的方案，该权值不仅反映用户间的干扰关系，而且自适应地调整干扰用户之间对资源的争夺策略；同时，把距离调和平均数作为小区分群的附加准则。仿真结果表明，与传统的小区分群方案相比，新方案的吞吐量增加20%~30%，小区性能和系统整体性能都有提升。

Interference management based on cell clustering in 5G systems

In ultra-dense small cell networks scenarios of 5G,in order to reduce the inter-cell interference(ICI),an interference management scheme based on cell clustering is proposed. The scheme starts by grouping these small cells overlaid under the macro cell into clusters,then mitigates the intra-cluster and inter-cluster interference based on multi-cell cooperation and interference avoidance in frequency or time domain respectively.For the key issue of cell clustering that is interference weight calculation,a new continuous interference weight based on signal-to-interference-and-noise ratio(SINR) and signal-to-othercell-interference ratio(SOIR) is presented. The weight not only reflects the interference relationships between users,but also adaptively adjusts the strategy of resource contention between interfering users,moreover,the additional selection criterion for cell clustering is proposed based on the harmonic mean of distance. Simulation results show that the throughput of new scheme can be improved from 20% to 30% compared with that of the traditional cell clustering scheme,and the performance of cells and overall systems can be improved.