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

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

This dataset provides RF data from software defined ratio (SDR) measurement results of a few cases: A. one 4G LTE link, B. two LTE links, C. one LTE link and one Wi-Fi link. The LTE links were emulatedby USRP B210 units and an open-source software (srsRAN), and the Wi-Fi link was emulated by a pair ofWi-Fi commercial development boards. This dataset includes metadata and performance results (ina spreadsheet format) and I/Q baseband sample data (in a binary float point format). Though specifictrade names are mentioned, they should not be construed as an endorsement of that product. Other productsmay work as well or better.The spreadsheet files provide the mapping among some system parameters (such as the SDR received powerand SINR) and key performance indicators (KPIs), such as throughput and packet drop rate. The I/Q datafiles provide the digital samples of the received signals at the receivers (LTE or Wi-Fi).This dataset can be used to support research topics such as multi-cell LTE system performance evaluationand optimization, spectrum sensing and signal classification, and AI and machine learning, beside others.

The dataset corresponds to the findings detailed in the paper titled "ProSAS: An O-RAN Approach to Spectrum Sharing between NR and LTE," to be included in the proceedings of the 2024 IEEE International Conference on Communications (ICC).

The dataset corresponds to the findings detailed in the paper titled "ProSAS: An O-RAN Approach to Spectrum Sharing between NR and LTE," to be included in the proceedings of the 2024 IEEE International Conference on Communications (ICC).

전국 241곳의 주요 상권별 유동인구 데이터를 제공하는 상품,2020년 4월27일~2020년 5월10일 동안의 유동인구 데이터,6월초 업데이트 될 5월 전체기간 상품 무료 업데이트 예정,

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).

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).

The Wireless Spectrum Research and Development Senior Steering Group (WSRD SSG) Workshop V titled: Understanding the Spectrum Environment: Data and Monitoring to Improve Spectrum Utilization, was hosted by the National Science Foundation (NSF) in Arlington, VA on March 31, 2014. This report summarizes the motivation, format, material, conclusions and recommendations drawn from that Workshop...