面向5G的云接入网络架构物理层无线传输关键技术研究

Cloud radio access networks (C-RAN) has been recognized as the infrastructure of the 5G, and this project will extensively study the performance analysis and the key technique optimization for the C-RAN in the physical layer transmission in 5G. First of all, for any given value of the front-haul capacity constraint, both the new energy efficiency including the energy consumption for the calculation and the hardware circuits and the ergodic spectral efficiency will be theoretically analyzed for the C-RAN in the physical layered transmission. Also, the trade-off between the time delay and the front-haul capacity constraint is derived theoretically. Then, with any given value of the front-haul capacity limitation, the adaptive de-noise and the quantization method will be optimized to the multiple RRH, where the optimal bits of the quantization will be allocated across all the RRHs. The overhead of the front-haul, the power allocation and the resource management will be designed for the RRH with multiple antennas. The optimal structure of the spatial filter will be derived for the massive RRHs with each having multiple antennas, where the low computational algorithms will be designed by exploiting the sparsity of the wireless channel. Finally, the platform will be established for the C-RAN in physical layered transmission to demonstrate the fundamental performance limit as derived and the achievable performance realized by the optimized transmission schemes.

云无线接入(Cloud radio access networks, C-RAN)已经被确定为第五代移动通信(5G)网络架构，本项目拟系统性研究面向5G的C-RAN物理层无线传输理论性能分析与关键技术优化设计。首先，理论分析任意给定前向回程容量约束下C-RAN物理层无线传输系统的新型能效和遍历频谱效率的性能极限，推导系统时延与回程容量约束最优理论性能折中关系；其次，任意给定前向回程容量约束，优化多RRH(Remote radio head)自适应去噪-最优量化协同回传协议和最优量化比特加载技术，设计多天线RRH协同回传容量开销分配、功率分配和资源管理方案，推导多天线分布式大规模RRH双向协同空间滤波最优结构，并通过挖掘无线信道稀疏性设计相应的低复杂度算法；最后搭建C-RAN物理层无线传输系统实时实验演示平台，验证推导出的理论性能极限和优化出的物理层无线传输关键技术的性能统计值。

项目主要围绕着C-RAN物理层无线通信网络开展了4个方面的研究工作，包括： C-RAN物理层无线通信的理论性能分析， C-RAN物理层无线通信的资源自适应分配方法优化，信令存在误差时鲁棒的C-RAN无线通信网络的资源配置方案设计，和C-RAN无线通信架构下大规模MIMO的发射波束自适应调整和功率分配方案优化。所提方法明显提升了该系统的传输性能，探索了若干具有创新的收发传输方案，助力我国在云无线接入的B5G移动通信领域的学术创新和技术研发。发表了SCI论文30多篇，发明专利授权10余项，培养博士生4名、硕士生10多名、国内访问学者1名。