《Smith Institute&ampSpectrivity:2025人工智能(AI)在频谱管理中的应用研究报告(英文版)(27页).pdf》由会员分享,可在线阅读,更多相关《Smith Institute&ampSpectrivity:2025人工智能(AI)在频谱管理中的应用研究报告(英文版)(27页).pdf(27页珍藏版)》请在三个皮匠报告上搜索。
1、Artificial Intelligence for Spectrum Management27th February 2025Commissioned by:Executive summaryArtificial Intelligence(AI)stands poised to revolutionise spectrum management,offering a powerful solution to critical resource scarcity.Maximising innovation for efficient and optimal use of spectrum i
2、s a key priority of Ofcom for the UKs spectrum management.Through spectrum sharing,forecast-driven decisions,and automated interference control,AI could dramatically enhance the value realised with UK spectrum.The UK faces critical challenges in achieving greater efficiency in spectrum utilisation a
3、nd assignment,driven by increasing demand for wireless services,and the need to maximise the socio-economic value of spectrum.Managing spectrum is a careful balance of policy,technology and stakeholder interests.Licencing applications to improve the efficiency and consistency in assessing the impact
4、 on incumbents when assigning new licences Language models for automated licence application review to increase efficiency Using machine learning(ML)to predict interference coupled to optimisers like Gurobi,to achieve the maximum possible coverage Feature extraction methods to develop meaningful uti
5、lisation and coverage metrics for AI-driven modellingProactive monitoring and compliance through data collection and exploitation best practice,for internal efficiency and proactive targeted monitoring Experimental design approaches for licence violations detection Automated design of sensor placeme
6、nt against interference and coverage objectives Anomaly detection methods for automated flagging of suspicious activitySpectrum sharing and interference management to prevent and mitigate interference,providing better decision-making around spectrum sharing opportunities,which aims to unlock more sp