混合能源基站的用户关联与资源分配

5G超密集网络部署混合能源微小区基站(SBS)，其网络架构和能源供应的异构性会导致负载分布的极度不均衡，引起资源的严重浪费。为有效利用可再生能源和无线资源，该文提出了一种约束目标通信速率的用户关联机制与资源分配策略的方法。该方法以最小化系统总能耗成本为前提，采用基站喜好偏置因子作为用户关联依据，考虑能量减少的不确定因素，提出基于大偏差理论的能量饥饿概率估计算法。在保证用户关联的基础上，利用拉格朗日对偶算法的资源分配策略合理利用带宽资源。数值仿真结果表明:该算法在能量充足的条件下相比最大接收功率算法系统能耗成本减少82.47%，绿色能量的使用率相比最大信道增益算法增加48%。

User Association Mechanism and Resource Allocation Strategy in Small Cell Base Stations with Hybrid Energy Supply

The network architecture and the heterogeneity of hybrid energy supply will lead to extreme imbalance of load distribution in 5G small cell base stations (SBS), which causes the waste of resources. A new challenge is faced about how to utilize renewable energy and radio resource efficiently. In this paper, an approach of user association mechanism and resource allocation strategy is proposed for a given communication rate. In order to minimize the total energy of system, the bias factor of the SBS ’ favorite is used to describe the extent of user association, and an estimation algorithm of energy hungry probability is presented for uncertainty reduction in energy by utilizing the large deviation theory. Moreover, the resource allocation strategy is proposed to allocate band resource reasonably through the Lagrange dual algorithm. Numerical simulation results show that the energy consumption of the proposed algorithm can reduce 82.47% than that of the maximum received power algorithm. Also, the utilization rate of green energy of the proposed algorithm will increase 48% than that of the maximum channel gain algorithm.