异构无线网络干扰对齐技术研究

由于宏蜂窝和微蜂窝所构建的异构网络可以大幅提高网络的容量而成为未来移动通信的发展趋势,但是微蜂窝的引入增加了异构网中小区的数量,使得小区间同道干扰更加突出,成为限制异构网容量的主要因素,因此,需要研究有效的干扰抑制技术以增强网络性能。近年提出的干扰对齐技术能够获得干扰网络的最大自由度并可达其最优容量。为此研究了基于低秩干扰空间的多小区干扰对齐技术,然后将其推广到异构无线网络,提出了优化的异构网络干扰对齐方案。仿真结果表明,优化后的干扰对齐技术能够有效提高网络容量并降低实现复杂度。

Research on interference alignment for heterogeneous network

HetNet composed of macrocell and picocell will play an important role in future cellular system, and it has potential to drastically improve the capacity of wireless network. With the deployment of picocells, CCI is more and more serious in the heterogeneous network. Thus, interference suppression is very meaningful for heterogeneous network. Recently, IA, which can obtain the optimal transmitting DoF, is explored to maximize the capacity of the network. Based on the muticell IA algorithm, this paper proposed an optimized IA scheme for heterogeneous network. Simulation results show that the presented IA scheme can improve the capacity of HeNet and reduce the implementation complexity.