基于OFDMA的无人机群通信链路资源分配算法研究  

A Resource Allocation Algorithm of UAV Group Communication Link Based on OFDMA

作　　者：周凯福 程伟[1] 窦立超 彭岑昕 ZHOU Kaifu;CHENG Wei;DOU Lichao;PENG Cenxin(Air Force Early Warning Academy,Wuhan 430000,China)

机构地区：[1]空军预警学院

出　　处：《空军工程大学学报（自然科学版）》2019年第6期27-32,共6页Journal of Air Force Engineering University(Natural Science Edition)

基　　金：国家自然科学基金(61502522)

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。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.

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 

分 类 号：TN914[电子电信—通信与信息系统]