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)