超密集网络中基于干扰消除的多用户检测算法研究

Study on Multi-user Detection based on Interference Cancellation in Ultra-Dense Networks

为了提升单位面积频谱效率,下一代无线通信系统将在部分热点区域采用密集部署接入点(Access Points,APs)的方式来形成超密集无线网络。与以基站为中心的传统蜂窝网络不同,超密集无线网络通过密集部署的AP实现了AP围绕用户以用户为中心的特点,因此需要对传统的信号处理模式进行改造,以适应这种新的网络架构。针对超密集网络的信道特点,利用信道估计完成用户和AP关联,继而提出了基于部分AP协作下的干扰消除多用户检测技术。计算机仿真显示,所提算法能够在复杂度和性能之间获得较好的均衡。

In order to improve the spectrum efficiency per unit area,the next generation wireless communication system will form ultra-dense wireless networks by densely deploying Access Points(APs)in some hot spots.However,unlike the traditional cellular network centered on the base station,the ultra-dense wireless network realizes the characteristics of AP surrounding users and taking users as the center through densely deployed APs,so it is necessary to reform the traditional signal processing mode according to the new characteristics.According to the channel characteristics of ultra-dense networks,this paper employs channel estimation to complete the association between users and APs,and proposes a multi-user detection technology based on partial AP cooperation.Computer simulations indicate that the proposed algorithm can achieve a good tradeoff between complexity and performance.