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双层异构网络下多用户干扰对齐算法
引用本文:杨敬文,李莉,邱昊. 双层异构网络下多用户干扰对齐算法[J]. 上海师范大学学报(自然科学版), 2016, 45(2): 150-154
作者姓名:杨敬文  李莉  邱昊
作者单位:上海师范大学,上海师范大学,上海师范大学
基金项目:国家自然科学基金项目(61503251)
摘    要:
针对多个毫微微蜂窝网络与宏蜂窝网络共存的网络环境,基于干扰对齐技术,提出了一种双层预编码方案,首先定义宏蜂窝网络对毫微微蜂窝网络造成的干扰为跨层干扰,毫微微蜂窝网络之间的干扰为同层干扰,分别对毫微微蜂窝用户和宏蜂窝用户进行预编码,宏蜂窝用户的预编码使得跨层干扰最小,使之可比拟于背景噪声,毫微微蜂窝用户的预编码与毫微微蜂窝基站的后置编码进行迭代,以最小均方误差(MMSE)准则输出,仿真结果表明所提算法使得毫微微蜂窝网络的吞吐量相较于单层MMSE算法在信噪比为0~30 d B区间内平均提高了3 bps/Hz.

关 键 词:干扰对齐   双层异构网络   毫微微蜂窝   最小均方误差
收稿时间:2016-01-06

Multiple-users interference alignment base on two-tired heterogeneous networks
YANG Jingwen,LI li and QIU Hao. Multiple-users interference alignment base on two-tired heterogeneous networks[J]. Journal of Shanghai Normal University(Natural Sciences), 2016, 45(2): 150-154
Authors:YANG Jingwen  LI li  QIU Hao
Affiliation:College of Information,Mechanical and Electrical Engineering,Shanghai Normal University,College of Information,Mechanical and Electrical Engineering,Shanghai Normal University and College of Information,Mechanical and Electrical Engineering,Shanghai Normal University
Abstract:
Interference alignment is a novel interference alignment way,which is popular in interference management of two-tiered heterogeneous networks.Based Interference alignment technique,a two level precoding scheme has been presented to solve the interference in the case of muti-femtocell network coexist with macrocell network.First we define co-layer interference as the interference between femtocell and femtocell,correspondingly,we define cross-layer interference as the interference between macrocell and femtocell,and use precoders at macrocell users and femtocell users respectively.The precoders of macrocell users minimize the cross-layer interference,and output of iteration between precoders of femtocell users and post code of base station bases on mean square error minimization algorithm,which would be used to handle co-layer interference,thus it will reduce interference of femtocell at last and ensure the QoS of femtocell users.
Keywords:interference alignment   two-tiered heterogeneous networks   femtocell   MMSE
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