摘要
数十年来,无线通信技术的不断创新极大的改善了人们的生活,并促进了通信行业的快速发展。随着人工智能的日益兴盛,学者们将其与基站端的数据处理相结合,以此优化相关的处理过程与结果。文章提出了一种基于域适应网络的5G资源分配策略,该策略针对于5G蜂窝网络中的多基站场景进行动态资源分配,以实现在所消耗无线资源最小的条件下,最大限度的提升5G整体网络性能。仿真结果表明,该策略能够有效的降低质差基站数量并带来更加稳定的低干扰无线环境。
Over the past decades,the continuous innovation of wireless communication technolo-gy has greatly improved peoples lives and promoted the rapid development of the communica-tion industry.With the incrcasing prosperity of artificial intelligcncc,scholars have combincd it with data processing at the base station cnd to optimize the relevant processing and results.In this paper,a 5G resource allocation strategy based on domain-adaptation network is proposed,which dynamically allocates resources for multi-base station scenarios in 5G cellular networks to maxi-mize the overall 5G network performance under the condition of minimizing the consumed wireless resources.Simulation results show that this strategy can effectively reduce the number of poor-quality base stations and bring a more stable low-interference wireless environment.
作者
郑宇阳
ZHENG Yuyang(Fuzhou University,Fujian Fuzhou 350108)
出处
《长江信息通信》
2024年第10期193-196,共4页
Changjiang Information & Communications
关键词
5G通信网络
域适应网络
数据驱动
5G communications network
domain adaptation network
data-driven