基于多目标进化算法的5G NOMA网络规划

Jinli Zhang, Jie Li, Mingjiao Cai, Dining Li, Qiang Wang
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引用次数: 3

摘要

本文研究了5G非正交多址(NOMA)异构网络的基站(BS)规划问题,以网络吞吐量最大化和建设成本最小化为目标。由于两个目标之间存在冲突,将5G NOMA异构网络的BS规划问题建模为一个多目标整数优化问题。传统的优化方法很难解决多目标整数优化问题。因此,我们采用多目标进化算法来解决这一问题。仿真结果表明,提出的5G异构网络规划多目标优化方案能够有效提高网络传输性能,降低网络建设成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The 5G NOMA networks planning based on the multi-objective evolutionary algorithm
This paper studies the base station (BS) planning problem of 5G non-orthogonal multiple access (NOMA) heterogeneous network, and considers the goal of maximizing network throughput and minimizing the construction cost. Due to the conflict between the two objectives, the BS planning problem of 5G NOMA heterogeneous network is modeled as a multiobjective integer optimization problem. It is very difficult to solve the multi-objective integer optimization problem by using traditional optimization methods. Therefore, we adopt the multiobjective evolutionary algorithm to solve the problem. Simulation results show that the proposed multi-objective optimization scheme for 5G heterogeneous network planning can effectively improve the network transmission performance and reduce the network construction cost.
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