摘要
随着移动通信技术从2G、2.5G、3G向LTE过渡,业务类型也随着无线接入速率的不断提高,逐渐从单纯的语音和短消息业务向丰富的移动数据业务演变,无线网络的移动性管理是至关重要的,其中切换更是重中之重,切换的成功与否直接影响着用户的体验和QoS需求。本文首先分析了现有切换算法在新的网络架构和业务环境下的不足,提出了一种在LTE-Advanced系统架构下基于网络资源预测的无线切网络换算法,较传统算法增加了对目标小区网络资源的预测。仿真结果表明,该算法较传统切换算法有更高的切换成功率和更低的切换时延,避免了由于目标小区资源不足导致的切换失败。
与此同时,随着移动用户数的不断增加,全球范围内基站的数目也出现了前所未有的规模,整个通信行业一年的耗电量在200亿度以上,而其中基站的耗电量为每年70亿左右。因此为实现绿色通信,采用高效的绿色无线网络节能算法对通信行业来说是必不可少的,特别是在下一代移动通信系统中尤为重要。本文首先分析了无线通信系统节能的主要组成部分,指出了现有节能方案中的基站唤醒算法不适合家庭基站(HeNB)大范围部署的场景。在此基础上提出了一种在宏基站和家庭基站重叠覆盖场景下基于位置预测的家庭基站唤醒算法,通过对用户相对位置的预测,结合家庭基站的CSG属性和接入模式限制。仿真结果表明,该算法较传统基站唤醒算法有着更高的唤醒效率,大大的缩小了需要唤醒的家庭基站数目。
As mobile communications technology from 2G,2.5G,3G transition to LTE, the type of Service along with the wireless access rates rising gradually from a simple voice and SMS evolution to the rich mobile data services, the mobility management of wireless networks is crucial, where handover is most important. The success and failure of handover impact on user's experience and QoS requirements directly. This paper analyzes the existing handover algorithm's shortcoming in the new wireless architecture environment, and proposes a wireless network handover algorithm based on network resources prediction in the LTE-Advanced system architecture. Compared with traditional handoff algorithm it increases the target cell of network resource prediction. Simulation results show that the algorithm is better than the traditional handoff algorithm higher success rate and lower handoff delay, and avoid handover failure due to the lack of resources of the target cell.
At the same time, with the increasing number of mobile users, the number of base stations have taken on unprecedented scale in worldwide. Power consumption of the entire communications industry is more than 20 billion kw/h per year, of which the base station power consumption of 7.0 billion kw/h per year. So as to achieve green communications, using an efficient energy saving algorithm in wireless networks is essential and is particularly important especially in next generation mobile communication systems. This paper analyzes the main components in energy saving of wireless communication systems, and indicate that the base station wake-up algorithm in existing energy saving programs is not suitable for home base station (HeNB) a wide range of deployment scenarios. On this basis, proposes a home base station wake-up algorithm based position prediction in the macro base station and home base station overlapping coverage scenes. the prediction of the relative position of the user, with home base station access mode restrictions and CSG property. Simulation results show that the algorithm has higher efficiency than traditional base station wake-up algorithm, and greatly reduced the number of home base stations needed.
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