[1]巩玉林,周成杰. 双向全双工中继系统自干扰抑制[J].计算机技术与发展,2017,27(01):173-176.
　GONG Yu-lin,ZHOU Cheng-jie. Self-interference Cancellation in Bidirectional Full-duplex MIMO Relay System[J].,2017,27(01):173-176.
点击复制

 双向全双工中继系统自干扰抑制()
分享到：

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
27
期数:
2017年01期
页码:
173-176
栏目:
应用开发研究
出版日期:
2017-01-10

文章信息/Info

Title:
 Self-interference Cancellation in Bidirectional Full-duplex MIMO Relay System
文章编号:
1673-629X（2017)01-0173-04
作者:
 巩玉林; 周成杰
 南京邮电大学 通信与信息工程学院
Author(s):
 GONG Yu-lin; ZHOU Cheng-jie
关键词:
 ; 全双工中继; 自干扰抑制; MIMO; 空域SIC
Keywords:
full-duplex relay; self-interference cancellation; MIMO; spacial SIC; FDR
分类号:
TP302
文献标志码:
A
摘要:
 作为5G的关键技术,全双工中继(Full-Duplex Relay,FDR)技术凭借其频率复用的优势而备受业界关注。 FDR不仅能够提高系统容量,还可以用极低的成本来扩大覆盖范围。然而,其同时同频收发信号的特性导致严重的环路自干扰,这成为制约其发展的主要因素。针对FDR系统自干扰抑制( Self-Interference Cancellation,SIC)这一核心问题,主要采用空域方法抑制MIMO中继自干扰,以降低系统误码率,提高系统容量。将FDR与双向通信相结合,建立双向全双工中继系统模型。基于原零空间投影法设计中继节点的编译码器,并采用时域方法抑制源节点接收端的自干扰。理论分析和仿真结果表明,采用这样的设计模型能够有效抑制双向FDR系统自干扰,大大提升系统性能。
Abstract:
 As a key technology of 5G,Full-Duplex Relay (FDR) technology with its advantages of frequency reuse is concerned by the industry. FDR not only can improve the system capacity but also be used at very low cost to expand coverage. However,the characteristics of simultaneously sending and receiving signals of the same frequency result in serious self-interference of loop,which is a major factor restricting the development. For the core issue,Self-Interference Cancellation (SIC),in FDR system,the method of special domain is used to eliminate interference in MIMO in order to reduce the bit error rate and improve the system capacity. FDR is combined with bidi-rectional communication to establish bidirectional full-duplex relay system model. The encoder and decoder of relay nodes is designed based on original zero space projection,and time-domain method is applied to eliminate interference from the source node receiving end. Theoretical analysis and simulation results show that this model can effectively eliminate the bidirectional FDR system self-interference, greatly improving system performance.

相似文献/References:

[1]张志宏,吴庆波,邵立松,等.基于飞腾平台TOE协议栈的设计与实现[J].计算机技术与发展,2014,24(07):1.
　ZHANG Zhi-hong,WU Qing-bo,SHAO Li-song,et al. Design and Implementation of TCP/IP Offload Engine Protocol Stack Based on FT Platform[J].,2014,24(01):1.
[2]梁文快,李毅. 改进的基因表达算法对航班优化排序问题研究[J].计算机技术与发展,2014,24(07):5.
　LIANG Wen-kuai,LI Yi. Research on Optimization of Flight Scheduling Problem Based on Improved Gene Expression Algorithm[J].,2014,24(01):5.
[3]黄静,王枫,谢志新,等. EAST文档管理系统的设计与实现[J].计算机技术与发展,2014,24(07):13.
　HUANG Jing,WANG Feng,XIE Zhi-xin,et al. Design and Implementation of EAST Document Management System[J].,2014,24(01):13.
[4]侯善江[],张代远[][][]. 基于样条权函数神经网络P2P流量识别方法[J].计算机技术与发展,2014,24(07):21.
　HOU Shan-jiang[],ZHANG Dai-yuan[][][]. P2P Traffic Identification Based on Spline Weight Function Neural Network[J].,2014,24(01):21.
[5]李璨,耿国华,李康,等. 一种基于三维模型的文物碎片线图生成方法[J].计算机技术与发展,2014,24(07):25.
　LI Can,GENG Guo-hua,LI Kang,et al. A Method of Obtaining Cultural Debris’ s Line Chart Based on Three-dimensional Model[J].,2014,24(01):25.
[6]翁鹤,皮德常. 混沌RBF神经网络异常检测算法[J].计算机技术与发展,2014,24(07):29.
　WENG He,PI De-chang. Chaotic RBF Neural Network Anomaly Detection Algorithm[J].,2014,24(01):29.
[7]刘茜[],荆晓远[],李文倩[],等. 基于流形学习的正交稀疏保留投影[J].计算机技术与发展,2014,24(07):34.
　LIU Qian[],JING Xiao-yuan[,LI Wen-qian[],et al. Orthogonal Sparsity Preserving Projections Based on Manifold Learning[J].,2014,24(01):34.
[8]尚福华,李想,巩淼. 基于模糊框架-产生式知识表示及推理研究[J].计算机技术与发展,2014,24(07):38.
　SHANG Fu-hua,LI Xiang,GONG Miao. Research on Knowledge Representation and Inference Based on Fuzzy Framework-production[J].,2014,24(01):38.
[9]叶偲,李良福,肖樟树. 一种去除运动目标重影的图像镶嵌方法研究[J].计算机技术与发展,2014,24(07):43.
　YE Si,LI Liang-fu,XIAO Zhang-shu. Research of an Image Mosaic Method for Removing Ghost of Moving Targets[J].,2014,24(01):43.
[10]余松平[][],蔡志平[],吴建进[],等. GSM-R信令监测选择录音系统设计与实现[J].计算机技术与发展,2014,24(07):47.
　YU Song-ping[][],CAI Zhi-ping[] WU Jian-jin[],GU Feng-zhi[]. Design and Implementation of an Optional Voice Recording System Based on GSM-R Signaling Monitoring[J].,2014,24(01):47.

更新日期/Last Update: 2017-04-05