Interference alignment and scheduling in clustered partially connected small cell networks,International Journal of Communication Systems

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Interference alignment and scheduling in clustered partially connected small cell networks
International Journal of Communication Systems ( IF 1.7 ) Pub Date : 2020-08-12 , DOI: 10.1002/dac.4576
Kosar Ghorbani ₁ , Abolfazl Falahati ₁

Affiliation

Interference alignment (IA) is a beneficial interference management technique in heterogeneous networks (HetNets). Bearing this in mind, we target partially connected networks of small cells that are allocated randomly in a macrocell, whereas IA feasibility conditions may not be satisfied. To address this issue, we propose a new scheme with novel clustering and scheduling algorithms that is accomplished in three stages. The proposed scheme is accomplished by knowing the connection matrix of the established links that is obtained by different threshold values in the first stage. In the second stage, a new clustering algorithm is proposed to separate the cells to groups in which IA is feasible, and the feedback overhead is reduced. In the last stage, cluster scheduling method is proposed to efficiently schedule the clusters. The cluster scheduling allows the selected clusters with trivial intercluster interferences to transmit at the same time slot. The simulation results indicate the improvement of achievable averaged sum rate by the proposed clustering and cluster scheduling.

中文翻译：

集群连接的部分小型蜂窝网络中的干扰对准和调度

干扰对齐（IA）是异构网络（HetNets）中有益的干扰管理技术。牢记这一点，我们的目标是在宏小区中随机分配的小型小区的部分连接的网络，而可能无法满足IA可行性条件。为了解决这个问题，我们提出了一种具有新颖的聚类和调度算法的新方案，该方案可分三个阶段完成。通过了解在第一阶段中通过不同阈值获得的已建立链接的连接矩阵来完成所提出的方案。在第二阶段，提出了一种新的聚类算法，将信元划分为IA可行的组，并减少了反馈开销。在最后阶段，提出了集群调度方法以有效地调度集群。集群调度允许具有小集群间干扰的所选集群在同一时隙发送。仿真结果表明，通过提出的聚类和聚类调度可以提高平均求和率。

更新日期：2020-10-05

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