This project produces synthetic datasets of spectrum sharing simulation results (I/Q data, metadata, and KPIs).

This dataset consists of high signal-to-noise ratio (SNR) in-phase and quadrature (I/Q) radio frequency (RF) recordings of long-term evolution (LTE) uplink emissions from a commercial-off-the-shelf (COTS) handset in a fully conducted environment. A base station emulator was used to configure the handset to statically transmit over various LTE physical resource block configurations for 1.4 MHz, 3 MHz, 5 MHz, and 10 MHz uplink channels centered at 1770 MHz in LTE Band 66, which is a frequency-division duplex (FDD) band. The aim of this effort was to acquire a dataset that could be used to aid the development of computational models for emissions from real-world communication hardware.

This data contains in-phase and quadrature waveforms of AWS-1 LTE uplink emissions collected at NASA Langley Research Center's Langley Research Antenna System. The collection campaign is part of the NASCTN effort on AWS-3 LTE impacts on Aeronautical Mobile Telemetry https://www.nist.gov/programs-projects/aws-3-lte-impacts-amt. The work is detailed in the NTIA Technical Report TR-21-553 In-Situ Captures of AWS-1 LTE for Aeronautical Mobile Telemetry System Evaluation available at https://www.its.bldrdoc.gov/publications/details.aspx?pub=3262 . Additional pertinent details on recording parameter settings are outlined in the format provided in NTIA Technical Memo TM-21-553 available at https://www.its.bldrdoc.gov/publications/details.aspx?pub=3261 .

This data is provided as a supplement to NASCTN Report 7 (NIST Technical Note 2069), Characterizing LTE User Equipment Emissions: Factor Screening. In particular, the data provided here is sufficient to reproduce all of the plots and analyses in Chapters 6 and 7, which present the data analysis results. See the data description document provided in the zip file for an outline of the contents and the technical note referenced above for details on the data collection.

The dataset corresponds to the findings detailed in the paper titled "AdapShare: An RL-Based Dynamic Spectrum Sharing Solution for O-RAN" to be included in the proceedings of the 2025 IEEE Consumer Communications & Networking Conference (CCNC).

This data is provided as a supplement to NIST Technical Note 2159 Laboratory Method for Recording AWS-3 LTE Waveforms available at https://doi.org/10.6028/NIST.TN.2159. In particular, the data provided here are a compressed version of all the IQ recordings discussed in the report, with diagnostic information. The data is structured as a compressed archive, Data.zip, for each experimental configuration and capture repeat, resulting in 112 compressed archives organized by directory structure. The compressed archive, Data.zip, contains six files: IQ.csv, configuration.csv, diagnostic.csv, UE_diagnostic_spectrogram.csv, IQ_spectrogram.csv and IQ_spectrogram.png. - IQ.csv Description: Measured IQ at a sampling rate of 61.44 MS / s Contents: I and Q as signed integers, relative units- configuration.csv Description: The experimental configuration under which the IQ recording was made. Corresponds to a row in Table 4.1: Test Configurations of the technote. Contents: Scheduler_Awareness, Scheduler_Allocation, PowerControl_PUSCH, PowerControl_PUCCH,Scheduler_RBMask, P0_PUSCH, P0_PUCCH, alpha, UTG_NumUEs, UTG_ULRate, UTG_TrafficType, UTG_UERSRP, DUT_UE_ULRate, DUT_UE_TrafficType, UT_UE2_ULRate, DUT_UE2_TrafficType - diagnostic.csv Description: UE Diagnostic information with a time-axis in ms based on system subframes. Contents: Elapsed time (ms), Total Tx Power (dBm), Resource Block Start, Number of Resource Blocks, MCS Index - UE_diagnostic_spectrogram.csv Description: The UE diagnostic report of power and resource block allocation organized into physical resource blocks with a time-axis in ms based on system subframes. Contents: Elapsed time (ms), 0 ? max physical resource blocks in shared channel with a power in mw. - IQ_spectrogram.csv Description: IQ data organized into physical resource blocks with a time axis aligned to the diagnostic information. Contents: Elapsed time (ms), 0 ? 199 resource blocks with a relative power. - IQ_spectrogram.png Description: Plot of 140 ms of spectrogram, max relative power versus frequency and mean relative power, corresponds to appendix B of technote. Contents: Single image

This data is provided as a supplement to NIST Technical Note 2159 Laboratory Method for Recording AWS-3 LTE Waveforms available at https://doi.org/10.6028/NIST.TN.2159. In particular, the data provided here are a compressed version of all the IQ recordings discussed in the report, with diagnostic information. The data is structured as a compressed archive, Data.zip, for each experimental configuration and capture repeat, resulting in 112 compressed archives organized by directory structure. The compressed archive, Data.zip, contains six files: IQ.csv, configuration.csv, diagnostic.csv, UE_diagnostic_spectrogram.csv, IQ_spectrogram.csv and IQ_spectrogram.png. - IQ.csv Description: Measured IQ at a sampling rate of 61.44 MS / s Contents: I and Q as signed integers, relative units- configuration.csv Description: The experimental configuration under which the IQ recording was made. Corresponds to a row in Table 4.1: Test Configurations of the technote. Contents: Scheduler_Awareness, Scheduler_Allocation, PowerControl_PUSCH, PowerControl_PUCCH,Scheduler_RBMask, P0_PUSCH, P0_PUCCH, alpha, UTG_NumUEs, UTG_ULRate, UTG_TrafficType, UTG_UERSRP, DUT_UE_ULRate, DUT_UE_TrafficType, UT_UE2_ULRate, DUT_UE2_TrafficType - diagnostic.csv Description: UE Diagnostic information with a time-axis in ms based on system subframes. Contents: Elapsed time (ms), Total Tx Power (dBm), Resource Block Start, Number of Resource Blocks, MCS Index - UE_diagnostic_spectrogram.csv Description: The UE diagnostic report of power and resource block allocation organized into physical resource blocks with a time-axis in ms based on system subframes. Contents: Elapsed time (ms), 0 ? max physical resource blocks in shared channel with a power in mw. - IQ_spectrogram.csv Description: IQ data organized into physical resource blocks with a time axis aligned to the diagnostic information. Contents: Elapsed time (ms), 0 ? 199 resource blocks with a relative power. - IQ_spectrogram.png Description: Plot of 140 ms of spectrogram, max relative power versus frequency and mean relative power, corresponds to appendix B of technote. Contents: Single image

2022 자체연구보고서 본 보고서는 FM 동기방송망 혼신보호비 기술기준 마련 및 간섭분석 툴 개발 연구, 원거리 무선전력전송을 위한 비접촉식 등 무선전력전송 주파수 분배방안 및 기술기준안 마련 연구, `22년 시·군지역 지상파UHD 송신제원 사전 조정방 안 마련 연구, 방송주파수의 간섭분석 및 국제등록 등에 대한 연구내용을 포함 하고 있다. 주요 내용은 다음과 같다.

2022 자체연구보고서전파전달 예측을 위한 전파모델은 전파의 간섭분석을 위한 핵심정보이다. 전파전달을 정확히 예측하는 것은 주파수 공유연구를 비롯하여 한정된 전파자원을효율적으로 사용할 수 있게 하는 기반이 된다. 그뿐만 아니라 무선통신망을 설계함에 있어 시스템 전력, 무선국 수와 위치, 서비스 가용률 등의 통신자원을 최적으로 할당하는데 기여하여 비용 효율적인 네트워크 구축을 가능하게 한다.한편 실내외 환경에서 전파반사, 투과 등 전파전달을 분석할 때 건물재질에 따른 영향을 고려하는 것이 중요하며 주파수가 높아질수록 정확한 예측을 위해 더다양한 건물재질의 전기적 특성 정보가 필요하게 된다. 본 연구과제에서는 테라헤르츠 대역에서 다양한 건물재질들의 전기적 특성인 유전율 측정에 관한 연구를 수행하였다.

서비스 또는 시설자(이동통신사 등) 별 전자파 인체 보호 기준 측정값 통계 현황 입니다.