未来B4G/5G网络中基于协同MIMO传输的干扰管理研究

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, new multiuser two-way interference cancellation technology will be studied by combining the distributed multiuser two-way interference alignment and advanced network coding. Moreover, large-scale MIMO technology will be studied and incorporated into the above technologies under research, with the goal to develop novel coordinated heterogeneous multi-point transmission technologies and multiuser network coding technologies which can fully exploit the space sparsity of large-scale MIMO channels. The research results of this project are expected to provide theoretical and technical support for the further B4G/5G broadband mobile communications systems.

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。

新一代移动通信相比4G移动通信在系统容量、频谱效率和能量效率等性能方面提出了更高的要求。实现该目标亟待移动通信网络构架和无线传输技术的根本性突破，而发展基于新型异构蜂窝网络的绿色宽带无线MIMO传输理论和技术是解决该问题的高效途径之一。本项目围绕大幅提高系统频谱效率和能量效率、显著提升用户体验的目标，系统深入地研究了高效率多点协作和中继协作MIMO传输和高效率资源调度理论方法，以及大规模MIMO传输理论方法，取得了系列基础理论和关键技术的突破。特别地，推导发展出逼近最优效率的多用户和多点协作MIMO传输理论方法，揭示出协作MIMO传输在提升能效方面的理论极限，以及频谱效率和能量效率的折衷关系，进而设计出低回程开销可分布式实现的多基站协作MIMO传输理论方法；利用大规模MIMO的信道特征，提出利用信道统计信息的低复杂度高能效多基站协作大规模MIMO理论方法，基于块压缩感知理论发展出低导频开销的信道估计和反馈理论；推导出异构网络可达容量、平均误符号率和中断概率等性能指标的解析表达式，探明了其性能极限及渐进增长规律，进一步提出高效率的新型用户接入和用户资源调配理论方法，显著提升了网络的资源效率和用户体验。上述理论方法通过协作MIMO传输优化和分布式的资源调配有效解决了未来移动通信新型异构网络中的干扰问题，揭示出空时频多维资源协同在提升系统谱效和能量综合性能方面的性能极限，并提出了低开销低复杂度的可实现关键技术，大幅提升了系统的传输效率，为新一代移动通信的发展提供了理论基础和技术支撑。上述成果已无线通信和信号处理领域国际核心期刊上发表SCI论文31篇，在国内核心期刊和国际会议上发表EI论文37篇，已被谷歌学术引用近400次，已申请国家发明专利14项，其中3项已授权。通过项目研究，已培养研究生9名。基于部分研究成果，项目负责人于2014年以第2完成人获得教育部自然科学二等奖。

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