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1.广东工业大学 计算机学院, 广东 广州 510006
2.韩山师范学院 物理与电子工程学院, 广东 潮州 521041
Received:19 February 2019,
Accepted:17 April 2019,
Published:05 July 2019
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Xiao-qing DONG, Liang-lun CHENG, Hong-cai CHEN, et al. Multi-objective optimization control method for multi-user multi-service access in heterogeneous wireless networks[J]. Chinese journal of liquid crystals and displays, 2019, 34(7): 708-715.
Xiao-qing DONG, Liang-lun CHENG, Hong-cai CHEN, et al. Multi-objective optimization control method for multi-user multi-service access in heterogeneous wireless networks[J]. Chinese journal of liquid crystals and displays, 2019, 34(7): 708-715. DOI: 10.3788/YJYXS20193407.0708.
针对多异构网络重叠覆盖、多用户多业务共存环境下,用户最大化传输速率易致网络负载不均衡的问题,提出一种基于非支配排序遗传算法的业务接入控制方法。该方法首先以传输速率最大化及网络负载最均衡为目标,以带宽资源受限为约束,构建了传输速率最大化及网络负载最均衡的双目标优化模型;然后基于多目标优化方法非支配排序遗传算法(Non-dominated Sorting Genetic Algorithm Ⅱ,NSGA-Ⅱ)求解该业务接入控制问题。仿真结果表明,所提算法兼顾了用户的传输速率需求及网络间的负载均衡,取得较好的效果。
Aiming at the problem that multi-heterogeneous network overlap coverage and multi-user multi-service coexistence environment
users maximizing the transmission rate may cause the network load to be unbalanced
a service access control method based on non-dominated sorting genetic algorithm is proposed. The strategy firstly takes the maximum transmission rate and the load balance of the system as the objective function
and the bandwidth resource limitation as the constraint condition
and constructs the two-objective optimization model with maximum transmission rate and most balanced network load. Then the service access control problem is solved based on the multi-objective optimization Non-dominated Sorting Genetic Algorithm Ⅱ (NSGA-Ⅱ). The simulation results show that the proposed algorithm takes into account the user's transmission rate requirements and load balancing between networks
and achieves better results.
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