基于上下行非对称接入干扰管理的能效优化研究

As a important objective of future 5G information networks, it is required to improve the service assurance capability for cell-edge users in hot area in ultra-dense heterogeneous cellular networks. Accordingly, how to manage the time-varying, discrete uplink and downlink network resource has become a critical challenge when regarding the asymmetric service requirement and variable direction of bidirectional traffic.To circumvent such an ultra-dense, this project reanalyzes the effect of different interference control and management on energy-efficient optimization decision space for cell-edge users based on downlink/uplink decoupling (DUDe) association. And then the joint uplink and downlink resouce allocation with interference coordination is studied for energy-efficient optimization. With feature of bidirectional traffic and interactive behaviors, we design downlink/uplink decoupling association resource allocation to meet the resource scheduling for configuration of bidirectional traffic, to support dynamic bidirectional traffic scheduling under energy constraint condition. Moreover, we will construct a dual connection resource control and management framework according to downlink/uplink decoupling association. It could provide a low overhead of signaling interaction among downlink and uplink decoupling in heterogeneous networks, break through the bottleneck of realization resource control and management for downlink and uplink decoupling in ultra-dense heterogeneous cellular networks. The project will formulate a experiment platform and simulation experiment to verify the collaboration and coordination among downlink and uplink. The achievements will provide necessary theoretical and technical supports for the application and development of downlink and uplink decoupling in ultra-dense heterogeneous network.

提升异构蜂窝网络在超密部署环境下对热点边缘用户的业务保障能力是未来5G信息网络的重要目标。如何以时变、离散的上下行网络资源来承载需求不对称、行为多变的双向业务是目前亟待解决的关键技术难题。本项目基于上下行非对称接入重新分析密集环境下不同的干扰管控策略对边缘用户能效优化决策空间的影响，研究干扰协调下基于能效优化的联合上下行资源调度；结合双向业务的业务特性和交互式行为，设计与非对称接入资源调度匹配的双向业务配置方法，实现能量受限条件下动态双向业务的优化配置；同时构建基于双连接的上下行非对称接入资源管控架构，提供低开销上下行信息交互的途径和管控方式，突破上下行非对称接入在超密异构蜂窝网络中的实现瓶颈。本课题将通过仿真实验与实物系统相结合的方式进行验证，预计将对上下行非对称接入在超密异构蜂窝网络的应用和发展提供必要的理论和技术支持。

提升异构蜂窝网络在超密部署环境下对热点边缘用户的业务保障能力是未来5G信息网络的重要目标。如何以时变、离散的上下行网络资源来承载需求不对称、行为多变的双向业务是目前亟待解决的关键技术难题。首先提出的增强干扰协调的最大能效优化，相比最大和速率和最大效用和速率的能效增长了23.44％和64.71％。 此外，能效增益随着微蜂窝的增加而增加，这意味着对于未来的超密集异构蜂窝网络，通过进一步的资源分配可以获得更大的能效增益，其中主要原因在于基站和用户之间的距离变短，负载的动态调整。其次提出的基于最大最小公平的增强干扰协调能效优化，与现有方案相比，可以改善用户的能效和保证用户能效的公平性，因为最佳和最差用户的能效差距最大。这是因为所提出的方法增加了最坏情况用户的传输速率，以确保用户之间的能效公平性。最后提出一种联合不对称接入和无线携能通信的干扰协调方法（WPT-UM-ABS）,所提出的方法优于现有的固定空白子帧分配，松弛-取整方法和上行配置的空白子帧方案，并且在小规模情况下，平均达到了最优的性能的 95％性能。同时构建基于双连接的上下行非对称接入资源管控架构，提供低开销上下行信息交互的途径和管控方式，突破上下行非对称接入在超密异构蜂窝网络中的实现瓶颈，预计将对上下行非对称接入在B5G超密异构蜂窝网络的应用和发展提供必要的理论和技术支持。