摘要
文中提出了一种基于人工智能的移动通信网络资源优化调度技术。该技术不仅能有效提高移动通信网络的性能和效率,还能为用户提供更好的服务体验。文中探讨了如何利用人工智能算法来对移动通信网络进行资源优化调度,首先概述了移动通信网络资源优化调度技术,然后通过深度学习模型来分析移动通信网络中的数据流量分布情况,并据此制定了相应的资源分配策略;其次,结合云计算技术和大数据处理能力,构建了一个高效、稳定的调度平台;最后,在实验验证阶段对其效果进行了评估和比较,验证了其有效性。
This paper proposes a mobile communication network resource optimization scheduling technology based on artificial intelligence.This technology can not only effectively improve the performance and efficiency of mobile communication networks,but also provide users with better service experience.This paper discusses how to use artificial intelligence algorithms to optimize resource scheduling for mobile communication networks.Firstly,it outlines the resource optimization scheduling technology of mobile communication networks,and then analyzes the distribution of data traffic in mobile communication networks through deep learning models,and formulates corresponding quota strategies accordingly.Secondly,combining cloud computing technology and big data processing capabilities,an efficient and stable scheduling platform is constructed.Finally,its effect is evaluated and compared in the experimental verification stage to verify its effectiveness.
作者
杨童斌
李颇彧
YANG Tongbin;LI Puyu(The 15th Research Institute of China Electronics Technology Group Corporation,Beijing 100085,China)
出处
《移动信息》
2024年第4期202-203,209,共3页
MOBILE INFORMATION
关键词
人工智能
优化调度
网络资源
Artificial intelligence
Optimal scheduling
Network resources
