未来B4G/5G网络中基于协同MIMO传输的干扰管理研究

项目名称： 未来B4G/5G网络中基于协同MIMO传输的干扰管理研究

项目编号： No.61271018

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 无线电电子学、电信技术

项目作者： 黄永明

作者单位： 东南大学

项目金额： 80万元

中文摘要： 申请人主持的青年基金项目已对单向/双向中继协同MIMO传输理论进行了重点研究，在中继两跳协同MIMO、多天线双向中继传输、中继选择和资源调度等方向取得了许多理论和应用成果，并适应中继的功能增强同时研究了多点协同传输，在分布式多点协同传输理论方面取得了一定的突破。相关成果已发表SCI/EI论文36篇，含在权威期刊上发表SCI论文12篇，被引用49次。作为对已有工作的深入和延续，将紧密围未来B4G/5G网络的异构化、泛在化和绿色化演进趋势，考分考虑未来网络中异构多小区重叠覆盖特征，基于合作博弈等理论研究新型的异构多点分布式协同传输理论，有效解决层间干扰问题；通过有机结合多用户双向干扰对齐和高性能网络编码，研究分布式多用户双向中继干扰消除理论；进而结合大规模MIMO传输，研究基于空间域分割的协同传输干扰解决理论。本项目的研究成果将为B4G/5G宽带移动通信系统提供理论依据和技术支撑。

中文关键词： 新一代移动通信；异构网络；多天线MIMO无线传输；大规模MIMO；资源分配

英文摘要： In our previous project both single-way and two-way relay assisted MIMO technologies have been intensively studied. Many insightful theories and novel techniques have been achieved in the aspects covering adaptive two-hop relaying, multi-antenna two-way relaying, relay selection and advanced resource allocation. To fit in with the ability enhancing of future relays, coordinated multi-point transmission/reception technology has been investigated as well. Some good results have been obtained in the design of distributed multi-point coordination. With these achievements, this project has published 36 SCI/EI papers, including 12 papers appeared in distinguished journals such as IEEE Trans. Signal Processing. By far these papers have been cited 49 times. As a continuing of these work, the current project will take into account the evolution of the future B4G/5G network and aim to develop new transmission technology to meet the need of heterogeneous coordination, ubiquitous covering and green touch. In particular, cooperative game theory and machine learning technology will be used to study distributed coordination technology between low-power access point such as relays and high-power access point such as macro eNBs, with the goal to address the cross-layer interference in the heterogeneous network. At the same time,

英文关键词： Next-generation cellular system；Heterogeneous network；MIMO wireless communications；Massive MIMO；Resource allocation