中国邮电高校学报(英文) ›› 2015, Vol. 22 ›› Issue (3): 9-17.doi: 10.1016/S1005-8885(15)60647-1

• Wireless • 上一篇    下一篇

QoS-priority based load balancing algorithm for LTE systems with mixed users

Chuai Gang, Meng Fanfan, Sun Li   

  1. Beijing University of Posts and Telecommunications
  • 收稿日期:2014-07-28 修回日期:2014-11-28 出版日期:2015-06-30 发布日期:2015-06-24
  • 通讯作者: 孟凡璠 E-mail:fan.0530@163.com
  • 基金资助:
    the National Science and Technology Major Project (2013ZX03001003)

QoS-priority based load balancing algorithm for LTE systems with mixed users

Chuai Gang, Meng Fanfan, Sun Li   

  1. Beijing University of Posts and Telecommunications
  • Received:2014-07-28 Revised:2014-11-28 Online:2015-06-30 Published:2015-06-24
  • Contact: Meng Fanfan, E-mail: fan.0530@163.com E-mail:fan.0530@163.com
  • Supported by:
    the National Science and Technology Major Project (2013ZX03001003)

摘要: Focusing on the load balancing problem among multi-cells in long term evolution (LTE) networks with mixed users, a new multi-objective optimization modeling strategy, which integrates the guaranteed bit rate (GBR) and the best effort (BE) users, was proposed. In consideration of quality of service (QoS) priorities of different users, a decomposition method was presented to solve the original model. Derivations such as applying Lagrange multiplier method, sub-optimal solutions for mixed users were deduced. Based on derived solutions, including resource allocation schemes, a practical multi-objective load balancing algorithm jointly dealing with mixed users was given. Simulation shows a significant improvement of GBR users’ satisfaction level and BE users’ throughput in LTE networks by using the proposed algorithm.

关键词: long term evolution system, quality of service, mixed users, multi-objective optimization, load balancing, resource allocation

Abstract: Focusing on the load balancing problem among multi-cells in long term evolution (LTE) networks with mixed users, a new multi-objective optimization modeling strategy, which integrates the guaranteed bit rate (GBR) and the best effort (BE) users, was proposed. In consideration of quality of service (QoS) priorities of different users, a decomposition method was presented to solve the original model. Derivations such as applying Lagrange multiplier method, sub-optimal solutions for mixed users were deduced. Based on derived solutions, including resource allocation schemes, a practical multi-objective load balancing algorithm jointly dealing with mixed users was given. Simulation shows a significant improvement of GBR users’ satisfaction level and BE users’ throughput in LTE networks by using the proposed algorithm.

Key words: long term evolution system, quality of service, mixed users, multi-objective optimization, load balancing, resource allocation

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