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机构地区:[1]重庆邮电大学个人通信研究所,重庆400065
出 处:《重庆邮电大学学报(自然科学版)》2015年第3期297-305,共9页Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition)
基 金:国家自然科学基金(61271259;61471076);重庆市自然科学基金(CTSC2011jj A40006);重庆市教委科学技术研究项目(KJ120501;KJ130536);长江学者和创新团队发展计划(IRT1299);重庆市科委重点实验室专项经费(CSTC)~~
摘 要:云无线接入网(cloud radio access network,C-RAN)架构实现了小区间的联合处理,大规模多输入多输出(massive multiple-input multiple-output,Massive MIMO)技术在系统容量和频谱效率方面具有巨大的优势,但由于训练和反馈开销较大使得Massive MIMO难以应用于频分双工(frequency division duplex,FDD)系统。C-RAN架构下,考虑在不同小区之间引入联合空分复用(joint spatial division and multiplexing,JSDM)技术减少导频序列检测和信道信息反馈开销,在高酉条件不满足时,采用基于伪逆的方法来减少组间干扰,通过迫零(zero-forcing,ZF)滤波实现组内用户间干扰消除。理论分析和仿真结果表明,设计的一阶预编码矩阵相对于块对角化(block diagonalization,BD)算法复杂度得到降低,其和速率有一定改进。Cloud radio access network (C-RAN) could achieve the jointly processing between cells. Massive MIMO had more advantages in system capacity and spectral efficiency. However, it was difficult to apply to FDD system due to huge o- verhead of training and feedback. We introduced Joint spatial Division and Multiplexing to reduce the overhead of the pilot sequence testing and channel information feedback between different cells under the architecture of C-RAN. When the t'all unitary condition was not satisfied, the method of pseudo-inverse was used to reduce the inter-group interference and the ze- ro-forcing filtering was employed to eliminate the interference between users. Theoretical analysis and simulation results show that the complexity of designed pre-coding matrix is reduced and the sum rate has a certain improvement with the com- paring to the block diagonalization algorithm.
关 键 词:云无线接入网(C-RAN) 大规模多输入多输出(Massive MIMO) 频分双工(FDD) 联合空分复用 伪逆方法 迫零(ZF)滤波
分 类 号:TN929.53[电子电信—通信与信息系统]
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