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基于分层多跳物理层网络编码的超密集网络吞吐量增强方法 被引量:4

Enhancement Method of Throughput in Ultra-dense Network Based on Hierarchical Multi-hop Physical Layer Network Coding
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摘要 超密集网络通过小小区的密集部署提升了空间的复用增益,成为解决未来5G数据流量1000倍及用户体验速率10~100倍提升的有效方案.然而,小小区密集部署带来的干扰问题以及小基站的较小覆盖范围导致的信号衰落,会减小网络容量并降低用户体验.为了同时考虑未来5G超密集组网“覆盖”和“容量”的问题,提出了基于分层多跳物理层网络编码的吞吐量增强方法.该方法利用超密集网络多节点的异构分层特征,结合多跳物理层网络编码的高频谱效率特性,在无需源节点和终端节点直达链路的情况下,有效提升了超密集网络的吞吐量,节省了源到终端节点的时隙开销,且降低了系统的干扰.最后,通过仿真验证了所提方案的有效性和正确性,相比传统方案有效提升了系统性能. The ultra-dense network enhances the reuse of space through the dense deployment of small cells,which is an effective solution to solve the data flow by 1 000 times and the user experience rate of 10~100 times in the future 5G.However,the interference problem caused by small-area intensive deployment and the multi-hop transmission caused by the small coverage of small base stations will reduce the network capacity and user experience.Therefore,in order to consider the problem of“overlay”and“capacity”of ultra-dense networks in 5G,a throughput enhancement method based on hierarchical multi-hop physical layer network coding was proposed.By using the heterogeneous hierarchical feature of multi-node and combining with the high spectral efficiency characteristics of multi-hop physical layer network coding,the throughput in ultra-dense network can be enhanced effectively,the time slot from source node to the terminal node can be saved and the interference of system can be reduced without the need for the direct link from source node to terminal node in the case.Finally,this paper verified the validity and correctness of the proposed scheme and the system performance was improved effectively compared with the traditional scheme.
作者 冀保峰 王一丹 邢冰冰 李玉琦 高宏峰 韩瑽琤 JI Bao-feng;WANG Yi-dan;XING Bing-bing;LI Yu-qi;GAO Hong-feng;HAN Cong-cheng(College of Information Engineering,Henan University of Science and Technology,Luoyang,Henan 471023,China;Key Laboratory of Middle Atmosphere and Global Environment Observation (LAGEO),Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing 100029,China;School of Aeronautics and Astronautics,University of Electronic Science and Technology of China,Chengdu 611731,China)
出处 《计算机科学》 CSCD 北大核心 2019年第7期56-60,共5页 Computer Science
基金 国家十三五预研基金(6140311030207) 国家自然科学基金(61801170,61501405,61801435,U1404615,61671144,41605122,61701172,U1504619) 教育部产学合作项目(201602011005,201702135098) 中国博士后基金(2018M633351) 河南省科技厅自然科学基金(162300410096) 河南省高校创新人才项目(17HASTIT025) 河南省国际联合项目(172102410072) 西藏民族大学西藏文化传承发展协同创新中心2018年招标第21号课题 2018年西藏自治区自然科学基金资助
关键词 超密集网络 多跳传输 分层网络 物理层网络编码 吞吐量 误码率 Ultra-dense network Multi-hop transmission Hierarchical network Physical layer network coding Throughput Bit error rate
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