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.
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.
基金
supported by the National Science and Technology Major Project (2013ZX03001003)
