[author_cn_name].[cn_title][J].空军工程大学学报:自然科学版,[year_id],[volume]([issue]):[start_page]-[end_page] 基于OFDMA的无人机群通信链路资源分配算法研究
文章摘要
周凯福,程伟,窦立超,彭岑昕.基于OFDMA的无人机群通信链路资源分配算法研究[J].空军工程大学学报:自然科学版,2019,20(6):27-32
基于OFDMA的无人机群通信链路资源分配算法研究
  
DOI:
中文关键词: 无人机群  正交频分多址  资源分配  公平度门限  灰狼算法
英文关键词: UAV group  orthogonal frequency division multiple access  resource allocation  fairness threshold  wolf group algorithm (GWO)
基金项目:国家自然科学基金(61502522)
作者单位
周凯福,程伟,窦立超,彭岑昕 空军预警学院武汉430000 
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中文摘要:
      针对基于OFDMA的无人机群通信链路资源分配中系统容量与用户公平度之间的矛盾,提出了一种新的资源分配算法。该算法主要由子载波分配和功率分配两部分组成。该算法在子载波分配过程中,每个子载波等功率分配,通过设置公平度门限确保在最大化系统容量时兼顾用户公平度;在用户功率分配过程中,采用基于灰狼算法的功率寻优策略,通过全局搜索实现用户间的功率分配。仿真结果表明,文中提出基于灰狼算法的功率分配方法具有较好的稳健性与寻优能力,即使在用户数较多的情况下,仍然能够在最大化系统容量的同时具有较高的用户公平度,并且还可通过设置公平度门限的大小,灵活地调整系统容量与用户公平度之间的关系。
英文摘要:
      In view of the contradiction between system capacity and user fairness in the resource allocation of UAV based communication links based on OFDMA, a new resource allocation algorithm is proposed .The algorithm is mainly composed of two parts, i.e. subcarrier allocation and power allocation. In the subcarrier allocation process, each subcarrier is allocated by equal power, and the fairness threshold is set to ensure that the user fairness is taken into account when maximizing the system capacity; In the process of user power allocation, the power optimization strategy based on the gray wolf algorithm is adopted, and the power allocation between users is realized through global search. The simulation results show that the proposed power allocation method based on gray wolf algorithm is characterized by robustness and optimization ability. Even in the case of a large number of users, the method can still maximize the system capacity while having high user fairness. At the same time,the relationship between system capacity and user fairness can also be flexibly adjusted by setting the size of the fairness threshold.
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