This dataset represents the results from conducted simulations to evaluate the performance of Device-to-Device (D2D) communications in LTE when the User Equipment (UEs) are operating in UE-scheduled mode (Mode 2) with frequency hopping enabled. Different scenarios were simulated and communication performance was evaluated for each frequency hopping scheme defined in the LTE standard. The communication performance metrics include the successful transmission-reception ratio of transport blocks (TBs) at the physical layer, and the probability mass funciton (PMF) of consecutive TBs lost. Simulations were run multiple times with different random variable seeds, therefore, the mean and standard deviation of each metric is reported.

The data in this document corresponds to the results presented in the paper entitled "System Level Evaluation of UE-to-Network Relays in D2D-enabled LTE Networks", to appear in the proceeding of the 2019 IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (IEEE CAMAD 2019)

This dataset contains the numerical results presented on the NIST technical note 2149 entitled "UE-to-Network Relay Model B Discovery in ProSe-Enabled LTE Networks", which is available in https://doi.org/10.6028/NIST.TN.2149. The technical note develops an analytical model for the metric "average number of discovery periods needed by a Remote UE to discover a given Relay UE", depending on different system parameters such as the number of Relay UEs in the system (Ny), the number of Remote UEs in the system (Nx), and the discovery pool configuration which includes the value of the discovery message transmission probability (txProbability). The analytical model is then validated using ns-3 system level simulations, and results using both approaches are presented in the numerical results section of the technical note. A README is also included in the dataset with a more comprehensive description of the data format and included files.

This dataset corresponds to the results presented in the paper entitled "UE-to-Network Relay Discovery in ProSe-enabled LTE Networks", to appear in the proceeding of the 2020 International Conference on Computing, Networking and Communications (ICNC 2020).

Summary of analytical estimates and simulation results that are used to generate figures in a paper titled "Access Time Analysis of MCPTT Off-Network Mode over LTE". The paper was submitted to the special issue "Emergency Networks and Future Public Safety Systems" of journal "Wireless Communications and Mobile Computing" on November 30, 2018.

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 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.

■ 상품 설명 및 특징 - 전국에서 다양한 Device(핸드폰 등)을 대상으로 수집한 LTE 통신 수신감도 정보 ■ 기간 및 범위 - 2018년 1월 1일 ~ 2021년 12월 31일 ■ 컬럼(속성) 정보 - 전파정보고유번호 - 전파정보사업자명 - 전파정보값 - 전파정보테이블번호 - 연계트랙포인트테이블번호 - 연계트랙포인트고유번호 - 데이터상태코드 - 데이터등록일시 - 데이터수정일시 ■ 활용 예제 - 본 데이터 상품을 활용하여 사용자는 다음과 같은 정보를 확인할 수 있습니다. 1) 전국에서 수집된 LTE 통신 수신감도 정보를 활용하여 통신 음영 지역 확인 2) 개별 Device의 LTE 통신 수신 감도 확인 가능 3) 수집된 연령별 사용자와 연결하여 연령대별 주 사용 Device 정보 제공 [원본 데이터](https://www.bigdata-forest.kr/product/TRK001401)는 로그인 후 구매하여 다운로드 하십시오.

This dataset contains raw Signal Phasing and Timing (SPaT), MAP, and Basic Safety Messages (BSM) data from the "Feasibility Study and Assessment of Communications Approaches for Real-Time Traffic Signal Applications" project in the hexadecimal string and pcap formats. The project characterizes and assesses the feasibility of SPaT messages for infrastructure-based safety applications by comparing messages received through cellular networks with those received through Dedicated Short Range Communication (DSRC). This dataset contains the raw research data collected for the project. The project's final report and supporting dataset can be found at the National Transportation Library and is linked in the references section of this dataset.