基于人工智能的高速公路通信系统中的频谱资源分配与优化  

Spectrum Resource Allocation and Optimization in artificial intelligence Based Highway Communication System

作　　者：张海波 ZHANG Haibo(Zhongzi Taike Traffic Engineering Group Co.,Ltd.,Beijing 100083,China)

机构地区：[1]中咨泰克交通工程集团有限公司,北京100083

出　　处：《通信电源技术》2024年第11期155-157,共3页Telecom Power Technology

摘　　要：随着高速公路通信系统的快速发展,有效利用频谱资源成为一项重要挑战。文章深入研究基于人工智能的高速公路通信系统中的频谱资源分配与优化的策略。主要介绍我国高速公路通信系统的结构,分析频谱资源的独特性及其面临的挑战,详细探讨人工智能在通信系统中的作用。本研究综合考察了当前频谱资源分配策略,包括传统模式和优化算法。进一步提出了基于人工智能技术的新型频谱资源配置与优化方案,涵盖神经网络和强化学习等算法,以及混合智能优化策略和自适应频谱资源管理方法。With the rapid development of highway communication systems,effective utilization of spectrum resources has become an important challenge.The article deeply researches the strategy of spectrum resource allocation and optimization in highway communication system based on artificial intelligence.It mainly introduces the structure of China’s highway communication system,analyzes the uniqueness of spectrum resources and the challenges it faces,and discusses in detail the role of artificial intelligence in the communication system.This study comprehensively examines the current spectrum resource allocation strategies,including traditional models and optimization algorithms.A novel spectrum resource allocation and optimization scheme based on AI technology is further proposed,covering algorithms such as neural networks and reinforcement learning,as well as hybrid intelligent optimization strategies and adaptive spectrum resource management methods.

关 键 词：高速公路通信系统 人工智能 频谱资源分配 优化算法 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]