基于无线环境地图的星地智能频谱共享方法  

Satellite and Terrestrial Intelligent SpectrumSharing Method Based on Wireless Environment Map

作　　者：张曦木 贾敏[1] 顾学迈[1] 郭庆[1] ZHANG Ximu;JIA Min;GU Xuemai;GUO Qing(School of Electronics and Information Engineering,Harbin Institute of Technology,Harbin 150001,China)

机构地区：[1]哈尔滨工业大学电子与信息工程学院,哈尔滨150001

出　　处：《指挥与控制学报》2024年第1期32-37,共6页Journal of Command and Control

基　　金：国家自然科学基金(62231012)资助。

摘　　要：卫星和地面组件共享同一频段可以有效缓解频谱稀缺问题,提升频谱利用率,星地频谱共享将在未来的无线系统中发挥至关重要的作用。相较于传统的七色复用星地频谱共享方案均匀地分配点波束带宽,通过波束预测能够基于点波束流量需求的变化合理分配带宽,而频谱预测能够有效降低碰撞概率,从而提升网络频谱效率。提出一种基于无线环境地图的星地智能频谱共享方法,该方法联合波束预测和频谱预测,构建无线环境地图并基于无线环境地图进行频谱分配。仿真结果表明,该方法可有效提升频谱利用率,降低网络阻塞率和用户等待时间。Spectrum sharing with satellite and terrestrial components can effectively alleviate the problem of spectrum scarcity and improve spectrum utilization rate,which will play a vital role in future wireless systems.Compared with the traditional satellite-terrestrial spectrum sharing scheme with seven-color reuse,which evenly allocates the spot beam bandwidth,the beam prediction allows for a rational allocation of bandwidth based on the changing demand of the spot beam.The spectrum prediction can effectively reduce the collision probability and improve the network spectrum efficiency.Satellite and terrestrial intelligent spectrum sharing method is proposed based on the wireless environment map,the method combines beam prediction and spectrum prediction to construct a wireless environment map and to perform spectrum allocation based on the wireless environment map.The simulation results show that this method can effectively improve spectrum utilization rate and can reduce network blocking rate and user’s waiting time.

关 键 词：星地频谱共享 无线环境地图 深度学习 频谱利用率 

分 类 号：TN925[电子电信—通信与信息系统] E91[电子电信—信息与通信工程]