| The cloud radio access network(Cloud-RAN)has emerged as a promising architecture to provide extremely high throughput with fantastic energy efficiency(EE)performance to cope with the explosive growth of mobile users and data for wireless communication.Millimeter wave(mmWave)fronthaul emerges as an innovative technology in Cloud-RAN due to its wide bandwidth,flexible deployment,and compact antenna.However,the densification deployment of the Remote Radio Unit(RRU)in the Cloud-RAN architecture generates huge energy consumption,and the introduction of millimeter waves brings new chanllenge to Cloud-RAN such as capacity enhancement and reliability assurance.Therefore,it’s a topic worth study to optimize the energy efficiency and transmission reliability of the Cloud-RAN based on the mmWave fronthauling,and improve the performance of mmWave fronthualing network.To improve the energy efficiency,we focus on the dynamic remote radio Unit(RRU)activation and network EE optimization in order to fully reap the benefits brought by Green Cloud-RAN.We utilize group sparsity theory,weighted minimal mean square error(WMMSE)method and fractional program to transfer the non-convex EE problem into a concave-convex problem.The Lagrangian theory is exploited to assist the problem analysis and algorithm design.Finally,the proposed algorithm achieved the dynamic RRU activation and improved the network energy efficiency.To improve the reliability of mmWave fronthauling,we propose a relay based fronthaul optimization and relaiblity ansurance strategy.In order to optimize mmWave fronthaul,we build a sum rate maximization problem for relay based fronthaul network and solve it by modified Zero-Forcing beamforming technique.Meanwhile,we adopt matching theory to select best relay for RRU,so as to achieve the relaiblity assurance for mm Wave fronthauling.The simulation results will show that the proposed strategy can effectively improve the network capacity and reliable relay link for RRUs. |