摘要
5G系统以其大吞吐低延迟的特性为自动驾驶、工业“智”造以及“元宇宙”等新概念提供了有力的支撑。因此,面向5G系统的学习及研究对于持续支撑新型业务的发展具有非常重要的意义。然而,现有的5G系统以大型商用系统为主,使得如本科生研究小组这种小型研究团队难以开展针对5G系统的研究及优化。为此,文章借助树莓派,将复杂开源5G项目进行解耦,并对其结构进行重构,设计了一套面向学习实践的小型5G系统——RespG。该系统为5G学习有需求的用户开辟了一条新的学习道路。实验数据表明,该系统可实现与802.11ax相当的性能,验证了项目的可行性。
The 5G system provides strong support for new concepts such as autonomous driving,industrial“intelligent”manufacturing,and“Metaverse”due to its high throughput and low latency characteristics.Therefore,learning and research on 5G systems is of great significance for continuously supporting the development of new businesses.However,the challenge is that existing 5G systems are mostly commercial systems,making it difficult for small research teams like undergraduate student research groups to study 5G systems.To this end,the paper utilizes Raspberry Pi to decouple complex open source 5G projects and restructure their structure,designing a small 5G system for learning and practice:RespG.This system paves the way for learning 5G simply and easily.Experimental results indicate that the system can achieve comparable performance to 802.11ax.
作者
王鹏
王齐
赵鑫
李昌骏
Wang Peng;Wang Qi;Zhao Xin;Li Changjun(School of Computing,Beijing Information Science and Technology University,Beijing 100101,China)
出处
《无线互联科技》
2023年第8期1-3,共3页
Wireless Internet Technology
基金
北京信息科技大学大学生创新创业训练计划项目-计算机学院,项目名称:基于树莓派的5G系统研究,项目编号:5112210832,S202211232035。
