针对船舶协同通信资源分配不合理，多种业务无序传输，导致网络整体吞吐量下降问题，研究新的船舶协同通信资源配置优化算法。在分析基于空天地海通信的船舶协同通信网络模式，了解此类协同通信网络主体后，构建基于优先级的协同通信频谱资源配置优化模型，模型在划分船舶协同通信业务优先级的基础之上，设计实现协同通信下行链路总吞吐量最大化的目标函数，由萤火虫算法求解满足此目标的下行链路船载终端频谱资源配置优化方案，完成船舶协同通信资源配置优化。实验结果显示，该算法优化下，船舶协同通信网络业务传输优先级明确，吞吐量可满足多数船舶通信需求，且大容量传输类、密集接入类、超远程实时类业务数据均可成功、可靠传输。
In response to the problem of unreasonable allocation of ship collaborative communication resources and disorderly transmission of multiple services, which leads to a decrease in overall network throughput, a new optimization algorithm for ship collaborative communication resource allocation is studied. analyzes the ship collaborative communication network mode based on air space sea communication, understands the main body of such collaborative communication network, and constructs a priority based collaborative communication spectrum resource allocation optimization model. Based on the division of ship collaborative communication business priorities, the model designs an objective function to maximize the total throughput of the collaborative communication downlink. The firefly algorithm solves the downlink shipborne terminal spectrum resource allocation optimization scheme that meets this objective, and completes the optimization of ship collaborative communication resource allocation. The experimental results show that under the optimization of this algorithm, the priority of business transmission in ship collaborative communication network is clear, the throughput can meet the communication needs of most ships, and large capacity transmission, dense access, and ultra long distance real-time business data can all be successfully and reliably transmitted.
2024,46(18): 171-174 收稿日期：2024-3-7
DOI：10.3404/j.issn.1672-7649.2024.18.031
分类号：TN929
基金项目：聊城市重点研发计划课题（2022YDSF14）
作者简介：刘兰英(1983-),女,硕士,讲师,研究方向为通信技术
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