Dataset for FFT of IQ samples: LTE, NR, and Overlap

Dynamic Spectrum Sharing (DSS) is an enabler for a seamless transition from 4G Long TermEvolution (LTE) to 5G New Radio (NR) by utilizing existing LTE bands without static spectrum re-farming. In this paper, we propose a cross-band DSS scheme that utilizes the Multimedia BroadcastMulticast Service over a Single Frequency Network (MBSFN) feature of an LTE network and theMulticast Broadcast Service (MBS) feature of an NR network. The proposed DSS scheme utilizes LTEand NR resource controllers to assign muted MBSFN subframes on the LTE band and muted MBSsubframes on the NR band based on traffic needs. In contrast to the state-of-the-art, the proposed DSSscheme does not require a coordination signaling channel between the LTE and NR networks. Instead, amachine learning-based Technology Recognition and Traffic Characterization (TRTC) system is used toidentify and characterize traffic patterns. The LTE and NR resource controllers use the TRTC to sensethe muted subframes and offload traffic accordingly. On average, the proposed DSS, as compared tostatic band configuration, improves the LTE throughput, NR throughput, LTE band spectrum utilizationefficiency, and NR band spectrum utilization efficiency by 13.5%, 8.3%, 11.8%, and 20.7%, respectively.

动态频谱共享（Dynamic Spectrum Sharing，DSS）无需静态频谱重耕即可利用现有LTE频段，是实现从4G长期演进（Long Term Evolution，LTE）到5G新空口（New Radio，NR）无缝过渡的关键技术。本文提出一种跨频段DSS方案，该方案利用LTE网络的单频网多媒体广播多播服务（Multimedia Broadcast Multicast Service over a Single Frequency Network，MBSFN）特性与NR网络的多播广播服务（Multicast Broadcast Service，MBS）特性。该方案通过LTE和NR资源控制器，基于业务需求在LTE频段分配静默MBSFN子帧，在NR频段分配静默MBS子帧。与现有技术相比，所提DSS方案无需在LTE与NR网络间建立协调信令信道；相反，其采用基于机器学习的技术识别与业务特征分析（Technology Recognition and Traffic Characterization，TRTC）系统来识别和刻画业务模式。LTE和NR资源控制器借助TRTC感知静默子帧，并据此分流业务。与静态频段配置相比，所提DSS方案平均可将LTE吞吐量、NR吞吐量、LTE频段频谱利用效率及NR频段频谱利用效率分别提升13.5%、8.3%、11.8%和20.7%。