Research On Distributed User Collaborative Technology In Heterogeneous Cellular Networks

This article mainly considers the dynamic allocation of resources and user collaboration issues in 5G heterogeneous networks.With the rapid growth of indoor communication traffic,the macro cellular network has been put to a severe test.For various reasons,on the basis of macro-cellular networks,micro-cells and pico-cellular networks(home networks)have emerged,which have brought unlimited possibilities for the development of existing mobile communications.Recently,5G access technologies have been developed through high-Capacity,low latency and seamless connectivity ensure ever-increasing bandwidth consumption.In this direction,the concept of a wireless millisecond wave backhaul network was proposed.In the wireless downlink heterogeneous cellular network,the optimization of the user and the base station(BS)under the proportional fairness criterion is considered.Considering the single-input single-output network first,that is,the user and the base station each have a power input and output terminal,and each base station has a fixed transmit power.Based on this,a pricing-based user collaboration scheme is proposed,which is based on a The network utility utilization function determines the mutual coordination rules between the user and the base station according to the network utility assigned to the user by the optimal base station minus the distributed update strategy-price.In addition,in the joint user-base station coordination and base station power control problems,this paper proposes an iterative double-coordinate descent algorithm to solve the network utility maximization algorithm.Compared with the current direct optimization methods,iterative dual-coordinate drop and power control methods have less computational complexity and power consumption.In the fixed-power user-to-base-station coordination,the previous conventional gradient method has more complexity,and a price update method based on coordinate reduction in the dual domain is proposed;in joint user-base station coordination and power control,Because the traditional maximum signal-to-noise ratio method causes serious load imbalance,an iterative optimization method with considerable performance is proposed;finally,in joint BS coordination and beamforming,a two-phase combined algorithm is proposed,since each The iterative minimum mean square error algorithm not only has the complexity,but also has the problem of excessive BS handover.Through the cooperation between users and base stations,new ideas and new algorithms are proposed to optimize the transmission of signals in the wireless downlink,making the transmission easier to implement.