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总览 评价 杨伟民 1， ， 赵新胜 1，* ， 邹素玲 2， （ 1、 东南大学 移动通信国家重点实验室，南京 210096； 2、 大唐移动通信设备有限公司移动通信事业部，北京 100083； ） 摘要： 随着宽带无线通信技术的迅速发展，数据业务占用户业务总量的比例逐年增
杨伟民1，， 赵新胜1，*， 邹素玲2，
（
1、东南大学 移动通信国家重点实验室，南京 210096； 2、大唐移动通信设备有限公司移动通信事业部，北京 100083； ）
摘要：
随着宽带无线通信技术的迅速发展，数据业务占用户业务总量的比例逐年增高。在宏蜂窝的覆盖下，大量数据业务发生在室内，由于高载波频率有较大的衰减损耗以及穿透损耗，因此用户在室内的信号并不理想。人们希望在室内环境中可部署短距离、低功耗的无线网络，用于改善室内覆盖，Pico基站的引入，为室内用户提供了高效的服务质量。但是在LTE-A HetNet场景下，宏蜂窝与微蜂窝混合组网会存在网络拥塞和负载不均衡的问题。本文在研究和对比传统的负载均衡方案的基础上，提出了基于负载预测的LTE-A HetNet系统负载均衡算法。通过感知网络中每个节点的负载变化信息，对每个节点下个时刻的负载状态做出准确的预测，确保每个节点提前调整切换参数，结合用户关联算法选择最佳的切换小区进行负载转移，从而解决异构网络负载均衡问题，提升网络性能。
关键词：
LTE-A HetNet；负载均衡；负载预测；用户关联
Yang Weimin1,， Zhao Xinsheng1,*， Zou Suling2,
（
1、National Mobile Communications Research Lab., Southeast University, Nanjing 210096； 2、Datang Mobile Communications Equipment Co mobile communications division, Beijing 100083； ）
Abstract：
With the rapid development of broadband wireless communication technology, the proportion of the total amount of data services is increasing.Under the coverage of macro cellular, a large amount of data services occur in the indoor. Due to the attenuation loss and penetration loss, user signal in the indoor is not ideal. It is hoped that some short distance, low power wireless nodes can be deployed in the indoor environment to improve indoor coverage. The introduction of Pico base station provides efficient service quality for indoor users. However, in the LTE-A HetNet, there is a problem of network congestion and load imbalance in the hybrid network of macro and micro cellular networks. In this paper, several common load balancing algorithms are studied and compared to solve localized congestion problems. In particular, these techniques are implemented by Winner process that forecasts load status for every node, and combined with the user association concepts of self-organization network which is the current research focus to adaptive parameters so that improve network performance.
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