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

• Special Section on Recent Advances in Mobile Computing and Networking • Previous Articles     Next Articles

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.

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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