基于干扰协调的主动负载均衡

为了解决负载均衡后分流的有实时业务需求的用户因受到严重的小区间干扰和因传统被动式方法固有的接入延迟所导致的用户体验下降的问题，本文提出了一种基于干扰协调的主动负载均衡算法。为了协调干扰，通过部分频率重用为小区边缘用户分配正交的资源；为了在满足用户数据率需求和均衡网络负载的前提下使系统总资源开销最小，通过预测用户的大尺度信道信息进行主动负载均衡。仿真结果表明，与现有的负载均衡方法相比，所提出的算法不仅提高了资源利用率，还降低了用户掉线概率。 

Proactive load balancing based on interference coordination

The existing mobility load balancing algorithms do not utilize interference coordination to maintain users’ performance after offloading, resulting in serious interference to the users after offloading. And the reactive load balancing optimizes the future load balancing strategy according to the current network load. But the actual network load may have changed, leading to the degradation of load balancing performance. In this paper, a proactive load balancing algorithm based on interference coordination is proposed. Orthogonal resources are allocated to the cell edge users through fractional frequency reuse to coordinate the interference. In order to minimize the total resource consumption under the premise of meeting the data rate requirements of users and balancing the network load, proactive load balancing is carried out by predicting the large-scale channel information of users. Simulation results show that, compared with the existing load balancing algorithms, the proposed algorithm not only improves the resource utilization, but also reduces the drop probability of users.