›› 2013,Vol. 28 ›› Issue (3): 437-444.doi: 10.1007/s11390-013-1345-1

• Special Section on Selected Paper from NPC 2011 • 上一篇    下一篇

LTE SON网络下一种动态自适应负载均衡与切换的联合最优化算法

Wen-Yu Li1,2 (李文宇), Xiang Zhang2 (张翔), Shu-Cong Jia1 (贾树葱), Xin-Yu Gu1 (顾昕钰), Lin Zhang1 (张琳), Xiao-Yu Duan1 (段晓宇), and Jia-Ru Lin1 (林家儒)   

  1. 1. Key Lab of Universal Wireless Communications of Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, China;
    2. Beijing Key Laboratory of New Generation Broadband Wireless Mobile Communication Technology, Standard and Verification, China Academy of Telecommunication Research, Ministry of Industry and Information Technology Beijing 100091, China
  • 收稿日期:2012-10-14 修回日期:2013-03-20 出版日期:2013-05-05 发布日期:2013-05-05
  • 作者简介:Wen-Yu Li is the directing engineer in Telecommunication Standard Research Institute of China Academy of Telecommunication Research (CATR), working on wireless and mobile communication and network technology research and standardization. He has chaired several important national projects of China. He is the editor and responsible person of more than 10 CCSA specifications on TDSCDMA technical requirement and test method and has published over 30 papers in refereed journals and conferences. He received his B.S. degree in information engineering in 1998, and M.S. degree in signal and information processing in 2002, both from Beijing University of Posts and Telecommunications (BUPT). He is currently a Ph.D. candidate in signal and information system at BUPT.
  • 基金资助:

    This work was supported by the National Basic Research (973) Program of China under Grant No. 2009CB320401, the State Major Science and Technology Special Projects of China under Grant No. 2011ZX03003-002-01, and the National Natural Science Foundation of China under Grant No. 61171100.

A Novel Dynamic Adjusting Algorithm for Load Balancing and Handover Co-Optimization in LTE SON

Wen-Yu Li1,2 (李文宇), Xiang Zhang2 (张翔), Shu-Cong Jia1 (贾树葱), Xin-Yu Gu1 (顾昕钰), Lin Zhang1 (张琳), Xiao-Yu Duan1 (段晓宇), and Jia-Ru Lin1 (林家儒)   

  1. 1. Key Lab of Universal Wireless Communications of Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, China;
    2. Beijing Key Laboratory of New Generation Broadband Wireless Mobile Communication Technology, Standard and Verification, China Academy of Telecommunication Research, Ministry of Industry and Information Technology Beijing 100091, China
  • Received:2012-10-14 Revised:2013-03-20 Online:2013-05-05 Published:2013-05-05
  • Contact: 10.1007/s11390-013-1345-1
  • Supported by:

    This work was supported by the National Basic Research (973) Program of China under Grant No. 2009CB320401, the State Major Science and Technology Special Projects of China under Grant No. 2011ZX03003-002-01, and the National Natural Science Foundation of China under Grant No. 61171100.

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随着移动互联网和多媒体业务的发展，需要使用更先进的无线网络技术提高用户体验。已经在美国和韩国成功商用的长期演进系统可以提供100Mbps的下行速率。然而，因为大量复杂的物理层技术的引入，导致网络规划和优化成为了使用长期演进系统的运营商的巨大负担。自组织网络通过自动选择和调整系统关键参数克服了这个问题。文章中提出了一种基于联合满意度因子的动态自适应算法，可以同时提升切换和负载均衡的性能。理论分析和系统级仿真表明所提算法可以明显提改善系统性能。相比传统算法，在切换成功率和负载均衡率上增益明显。

Abstract: With the development of mobile internet and multi-media service, advanced techniques need to be applied in wireless network to improve user experience. Long term evolution (LTE) systems, which can offer up to 100Mbps downlink date rates, have been deployed in USA and Korea. However, because plenty of complex physical layer algorithms are utilized, network planning and optimization become heavy burdens for LTE network operators. Self-organizing network (SON) is a promising method to overcome this problem by automatically selecting and adjusting key parameters in LTE systems. In this paper, we present a dynamic adjusting algorithm to improve both handover and load balancing performance by introducing a weighted co-satisfaction factor (CSF). Analysis and system level simulation are conducted to exhibit the performance improvement of the proposed scheme. Results show that the proposed method outperforms the conventional solutions in terms of the network handover success ratio and load balancing gains significantly.

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