The introduction of Device-to-Device (D2D) transmission into small cell enhanced heterogeneous networks is the new development trends that 5G wireless communication system faces. Meanwhile, in order to deal with the various kinds of interference under the new network architecture, efficient radio resource management technology is proposed as a prominent solution. However, accompanied with the introduction of massive low power nodes and D2D communications, the new ultra dense heterogeneous network architecture has present new challenges to the radio resource management problem such as: interference mitigation, network selection and wireless resource allocation. Considering the heterogeneity nature of the wireless resource and the resulting interference under different frequency planning scheme, this project first builds an interference model on the basis of game theory, control system theory and random process theory. This is to investigate the impact of a large variety of wireless resource parameters on interference conditions within hierarchical heterogeneous environments. Based on the interference analysis, the project then searches for the proper multi-domain resource vectors that can perfect reflects network capacity as well as user’s requirement, which is utilized as the multi-domain guidelines for network selection and user selection algorithm under D2D transmission. Furthermore, the adaptive wireless resource allocation scheme which can support dynamic service variation under the small cell enhanced heterogeneous network architecture is discussed in depth, so as to uncover the potential properties facing with heterogeneous wireless resource. The valuable achievements obtained from this project provide a solution to the challenges confronted by resource allocation problems in small cell enhanced heterogeneous networks, and contribute to the systemic and complete technical report of small cell enhanced heterogeneous.
基于D2D通信的异构微蜂窝网络是5G无线通信系统发展呈现的新格局,而高效的无线资源管理技术则是新型网络架构和传输机制下抑制小区间干扰的重要技术。在引入D2D通信机制后,基于小小区的新型密集网络构架对于无线资源管理中的干扰抑制、网络选择、无线资源分配等问题提出了新的挑战。从异构无线资源的本质出发,考虑不同频率规划方案下各类节点之间的干扰,项目组利用博弈理论、系统控制理论及随机过程等理论,建立干扰模型,探讨各类异构无线资源参数的对异构微蜂窝网络中节点之间的干扰状况的影响;基于干扰分析,深入研究D2D传输模式下的网络选择与用户选择算法,探讨用户选择算法对于网络性能的影响;研究异构微蜂窝网络架构下支持动态业务变化的自适应无线资源分配策略,揭示异构无线资源及其分配关系所呈现的特征,从而突破异构微蜂窝网络环境下D2D传输所面临的难题,取得有创新意义的理论成果,形成系统、完善的联合无线资源管理技术。
基于D2D通信的异构微蜂窝网络是5G无线通信系统发展呈现的新格局,而高效的无线资源管理技术则是新型网络架构和传输机制下抑制小区间干扰的重要技术。本项目详细跟踪了D2D通信在国内外的研究领域的最新研究动态,并针对引入D2D传输机制后的干扰建模及无线资源管理机制、引入D2D传输机制后的异构网络下的负载均衡技术、以及基于D2D传输的多播通信技术等方面进行了深入研究;项目研究期间,共发表及接收研究论文30余篇,其中SCI期刊检索论文10篇,EI检索期刊及会议论文10篇,核心期刊论文17篇;已申请国家发明专利2项;引进高层次人才(博士)1名,培养硕士研究生7名。研究成果对进一步推动D2D技术在我国标准化组织的标准化工作以及后续的广泛应用起到了良好的推动作用,具有重要的参考价值。
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数据更新时间:2023-05-31
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