环境业务自适应与能量高效的移动认知协作通信关键技术研究

In future mobile communication systems, multiple types of services coexist; available spectrums are sparse; different nodes have unbanlanced resources; networks are complex and dynamical; and users often exhibit different behaviors. These characters cause serious challenges to current wireless communication technologies, in which spectrums are allocated in the fixed way; networks are statically designed; and resources are configured according to the highest service level. The overall objective of this project focuses on adapting to network environments, transmission service characters and user behavior patterns, and improving system energy efficiency, based on multi-dimension cognition and cooperation technologies proposed in this proposal.. In this project, we will intensively investigate the following key issues. Firstly, we are going to study how to cognize network environments and service demands, focusing on cognition models and self-reconstruction methodology of dynamical networks, as well as service demand and user behavior modeling. Secondly, a set of multi-dimension cooperation mechanisms and joint design approaches will be proposed. Based on the multi-dimension cooperation, we also will propose the methodology for end-to-end cooperation flow transfer, and design adaptive service migration mechanisms. Next, we are going to study energy-efficient network architecture and transmission mechanisms. A set of flexible resource allocation mechanisms and dynamical access models will be explored. Finally, this project will propose environment-aware and service-adaptive mobile transmission techniques, and design adaptive data transmission models and algorithms. We also will develop on-demand service mechanisms built on user behaviors and differentiated service approaches based on service characters. This project will found a set of new theories and key technologies for environment-aware, service-adaptive and energy-efficient mobile cognitive and cooperative communications, and can deliver innovative results. These results can effectively support mobile broadband communication strategy strengthened by China and all over the world.

未来移动通信系统中，多种业务并存，无线频谱稀缺，节点资源不均，网络复杂多变，用户行为各异，这些特点对当前固定分配频谱、静态设计网络、最大化配置资源的无线通信技术，提出了严峻挑战。本项目以多维度认知与协作为核心；以自适应网络环境、业务特征与用户行为，提高系统能效为目标，将深入研究：(1) 网络环境与业务需求的认知方法，研究动态网络的认知模型与自主重构方法，建模业务需求和用户行为。(2) 多维协作及其联合设计，提出端到端协作流传递方法，设计自适应业务迁移机制。(3) 能量高效的网络结构与传输方法，研究弹性资源匹配机制和节点动态接入方法。(4) 自适应网络环境与业务需求的移动传输方法，设计自适应的数据传输模型与算法，研究面向用户行为的按需服务机制和基于业务特征的差异化服务方法。本项目将形成环境适应、业务匹配、能量高效的移动认知协作通信的若干理论与关键技术，取得系统的创新成果，为国家大力发展的宽带移动战略形成有效支持。

未来移动通信系统中，多种业务并存，无线频谱稀缺，节点资源不均，网络复杂多变，用户行为各异，这些特点对当前固定分配频谱、静态设计网络、最大化配置资源的无线通信技术，提出了严峻挑战。. 本项目主要研究了网络环境与业务需求的认知方法、多维协作及其联合设计机制、能量高效的网络传输技术、自适应移动传输方法等。. 四年来，项目组提出了网络环境和业务需求认知的模型与算法，从节点、网络等多个层次研究认知方法，为需求匹配、环境自适应的传输方法奠定了基础；提出了多维度协作通信的模型与方法，通过多种网络元素间的协作，提升网络性能；研究了高能效的传输机制，节省传输能耗；研究了自适应的移动传输模型与方法，实现了需求驱动、环境适应的多种路由算法与优化方法。. 项目全面完成了各项考核指标。(1) 在国内外期刊和国际学术会议上发表（录用）学术论文43篇（计划32篇），包括: CCF A类论文5篇（IEEE TPDS 3篇，IEEE TKDE，InfoCom 2018）；CCF B类论文4篇（IEEE TWC 2篇，IEEE TITS，JCST）；JCR 1 区论文 1 篇（IEEE TII）；国际会议最佳论文1篇（AINA 2017，2/561）；SCI/SCIE论文16篇；IEEE Transactions论文9篇（IEEE TPDS 3篇，IEEE TWC 2篇，IEEE TKDE，IEEE TITS，IEEE TCC，IEEE TII）。(2)出版学术专著1本。(3)获得授权的国家发明专利4项；受理审核中的发明专利9项（计划3项）。登记软件著作权5项。(4) 研发了移动认知网络传输平台。(5) 培养了1名博士后、5名博士生、15名硕士生（计划10名）。. 本项目基本构建了以自主适配网络环境与业务需求的移动认知协作通信关键技术体系，实现了理论与技术创新。成果具有重要的研究意义，为国家大力发展的宽带移动战略形成有效支持，有望带来显著的经济效益。