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C-RAN系统中干扰软消除估计算法
引用本文:宋燕辉,苏钢,余文奇,王健.C-RAN系统中干扰软消除估计算法[J].华中科技大学学报(自然科学版),2012,40(9):16-20.
作者姓名:宋燕辉  苏钢  余文奇  王健
作者单位:1. 华中科技大学电子与信息工程系,湖北武汉430074 长沙通信职业技术学院移动通信系,湖南长沙410015
2. 华中科技大学电子与信息工程系,湖北武汉,430074
3. 华中科技大学电子与信息工程系,湖北武汉430074 河南工程学院计算机科学与工程系,河南郑州451191
基金项目:国家科技重大专项资助项目(2010ZX03005-001-03,2012ZX03001-036-002);湖南省教育厅科技项目(11C0100);教育部2011年高等学校教师国内访问学者项目
摘    要:为减小无线接入网系统的小区间干扰,提出了基于集中式无线接入网络(C-RAN)架构下的多用户集中式干扰迭代软消除估计算法,通过对数后验似然函数得出干扰信号的贝叶斯最小均方误差(MMSE)估计量来逼近最优估计量,进行软信号重置,防止误差的扩散,并最终达到收敛.仿真分析表明:在C-RAN架构下,采用多用户集中式干扰迭代软消除算法,在最优的干扰检测机无法实现的情况下,可采用次优的干扰软信号估计算法,并针对干扰信号迭代估计过程中有可能出现的误差扩散状况采用软信号重置机制,实现低复杂度的快速收敛.

关 键 词:集中式无线接入网络(C-RAN)  小区间干扰  干扰迭代软消除  最小均方误差(MMSE)估计  后验对数概率  后验似然函数

Soft inter-cell interference cancellation estimation algorithm for C-RAN systems
Song Yanhui,Su Gang,Yu Wenqi,Wang Jian.Soft inter-cell interference cancellation estimation algorithm for C-RAN systems[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,2012,40(9):16-20.
Authors:Song Yanhui  Su Gang  Yu Wenqi  Wang Jian
Institution:1(1 Department of Electronics and Information Engineering,Huazhong University of Science and Technology,Wuhan 430074,China;2 Department of Mobile Communication,Changsha Telecommunications and Technology Vocational College,Changsha 410015,China;3 Department of Computer Science and Engineering,Henan Institute of Engineering,Zhengzhou 451191,China)
Abstract:In order to reduce the inter-cell interference of the radio access network system,a method based on Bayesian minimum mean square error(MMSE) estimation to process iterative soft inter-cell interference cancellation for centralized radio access network(C-RAN)systems was proposed.To avoid error diffusion,the soft information was restarted.The simulation results show that the methodology,based on Bayesian MMSE estimation to process iterative soft inter-cell interference cancellation,has a low complexity but a high accuracy.The poster-likelihood function was used to calculate the MMSE estimation of interference signals from other cells.The interference cancellation performance of convergence with a low complexity but a high accuracy can be achieved.
Keywords:centralized radio access network(C-RAN)  inter-cell interference(ICI)  iterative soft inter-cell interference cancellation  minimum mean squared error(MMSE) estimation  log-poster probability  log-likelihood function
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