增强型斑马优化算法及其在SDWN功率分配中的应用  

Enhanced zebra optimization algorithm and applications of power allocation in SDWN

作　　者：李佳佳 董黎刚[1] 蒋献 LI Jiajia;DONG Ligang;JIANG Xian(School of Information and Electronic Engineering(Sussex Artificial Intelligence Institute),Zhejiang Gongshang University,Hangzhou 310018,China)

机构地区：[1]浙江工商大学信息与电子工程学院(萨塞克斯人工智能学院),浙江杭州310018

出　　处：《电信科学》2025年第1期148-163,共16页Telecommunications Science

基　　金：国家自然科学基金资助项目(No.62301488);浙江省重点研发计划基金资助项目(No.2021C01036)。

摘　　要：为解决多用户通信中共享软件定义无线网络(software defined wireless network,SDWN)资源导致的互扰问题,提出一种增强型斑马优化算法(enhanced zebra optimization algorithm,EZOA),实现保密率最大化的功率分配。在斑马优化算法中引入探索因子和扰动参数,增强其全局搜索和局部开发能力,并改进觅食策略以提升算法多样性。实验结果表明,相较于其他6种成熟算法,EZOA在IEEE CEC 2014基准函数集上,表现出优异的竞争力,并在SDWN功率分配问题中,与其他5种算法相比,EZOA的用户保密率平均提高5.46%,且收敛速度最快。To address the issue of interference caused by shared resources in multi-user communications in software defined wireless network(SDWN),an enhanced zebra optimization algorithm(EZOA)was proposed to achieve power allocation that maximizes the secrecy rate.By introducing exploration factors and perturbation parameters into the zebra optimization algorithm,EZOA enhanced global search and local exploitation capabilities,while also improv‐ing the foraging strategy to increase algorithm diversity.Experimental results demonstrate that EZOA exhibits supe‐rior competitiveness compared to six other well-established algorithms on the IEEE CEC 2014 benchmark function set.In the SDWN power allocation problem,EZOA achieves an average improvement of 5.46%in user secrecy rate and the fastest convergence speed compared to five other algorithms.

关 键 词：软件定义无线网络 元启发式算法 功率分配 保密率 收敛速度 

分 类 号：TN929.5[电子电信—通信与信息系统]