认知使能的蜂窝异构网络性能优化技术研究

项目名称： 认知使能的蜂窝异构网络性能优化技术研究

项目编号： No.61302081

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 无线电电子学、电信技术

项目作者： 滕颖蕾

作者单位： 北京邮电大学

项目金额： 26万元

中文摘要： 针对蜂窝异构网络小区划分灵活、覆盖加强、绿色节能、频谱/能量效率高、灵活组网等特点，综合认知无线电的自主频谱感知和重配置能力，在认知使能的蜂窝异构网络架构下开展网络优化关键技术的研究。主要包括：1)研究认知蜂窝异构网络中容量与覆盖联合优化的建模与分析；2)在认知蜂窝异构网络架构下，研究联合感知和接入过程的优化设计；3)研究基于无线回程的认知蜂窝异构网络的资源分配，基于异构回程能力的多接入选择方案以及基于能量效率和频谱效率折中的动态优化问题；4)以动态TDD上下行帧结构及跨层协议优化为着力点，研究认知蜂窝异构网络基于D2D场景的传输协议优化设计。本课题面向未来认知蜂窝异构网络架构，综合蜂窝异构网络的异构化密集部署，认知无线电的灵活频谱利用特性，致力于网络性能优化技术的研究，深入探索认知蜂窝异构网络的性能增益，从而使得网络的整体性能得到进一步提升，预期具有深厚理论探索空间和潜在的应用价值。

中文关键词： 认知无线电；蜂窝异构网络；性能优化；联合优化；

英文摘要： This project studies the key technologies of network optimization under the architecture of cognitive radio enabled Cellular Heterogeneous Networks (CHetNet). Integrated with the features of CHetNet such as flexible cell division, enhanced coverage, energy efficiency, high spectrum/energy efficiency and flexible networking ability, the autonomous spectrum sensing and reconfiguration capabilities of cognitive radio, we develop the research of network optimization in the cognitive radio enabled CHetNet. The major technologies investigated in this project exhibiting the architecture of cognitive radio enabled CHetNet include: 1) to study the modeling and analysis of the capacity and coverage optimization (CCO) in. 2) to study the joint optimization design spectrum sensing and data access procedure. 3) to investigate the resource allocation specific for wireless backhaul, multi-access selection with heterogeneous backhaul capacity and dynamic optimization for trade-off between EE (Energy Efficiency) and SE (Spectrum Efficiency). 4) to study the optimization of transport protocols design in the scene of D2D communication including the dynamic TDD and cross-layer design. Considering the challenge of future network architecture of cognitive radio enabled CHetNet, synthesizing the heterogeneous dense deployment of CHet

英文关键词： Cognitive ratio；heterogeneous cellular networks；performance optimization；joint optimization；