Communications

The dataset explores the linguistic characteristics of Ukrainian online community members on "Lviv. Forum Ridne City" (https://misto.ridne.net/) based on gender (female/male). It includes vectors of male and female profiles, along with 36 control vectors for 18 women's profiles and 18 men's profiles. The dataset includes 48 linguistic characteristics of gender in online communication. The linguistic features analyzed encompass a wide range, including apology, modal designs, emotions, profanity, sports and politics references, and more.

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This is the dataset used in the paper "Cross-phone calibration for smartphone-based crowdsourced measurement of E-field strength of mobile downlink signals using transfer learning". The dataset is mainly composed of RSRP and E-field strength data collected using smart phones and the Spectrum Analyzer with isotropic antenna. The file contains two subdirectories, one for the raw data after removing the outliers and the other for the preprocessed feature dataset. See the Readme file in the folder for details.

 

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This dataset is about channel state information about underwater channels, we adopt the widely-used UWA channel simulator developed by P. Qarabaqi and M. Stojanovic to make this dataset. Addtionlly, the parameters settings of UWA-Channel are as follows: the depth of sea is 100 meters, the transmitter is positioned 50 meters above the sea bottom, the height of the receiver from the bottom is 30 meters, and the distance between the two is 800 meters. The dataset consists of two parts: data and labels. Labels are the channel frequency responses generated by the simulator.

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The dataset is the experimental output of a 5G New Radio (NR) coverage expansion use case in the context of the NANCY project (https://nancy-project.eu/). Two experimental scenarios were carried out, namely a) a scenario where a user equipment (UE) is directly connected to a Base Station (BS) through a 5G NR link, and b) a scenario where an intermediate node is employed, which acts as a relay between the base station and the UE. To this end, two 5G BSs were deployed, using Ettus Research USRP B210 devices.

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This dataset serves loosely coupled hybrid scheduling of processing and communication for TSN-based IMA systems.

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It proposes a lossless and stateless compression method for IEC 61850 Sampled Values flows. A set of bitmaps is introduced to indicate the size in bytes of the sampled currents and voltages, and to flag the presence or absence of the Quality field. The method has been evaluated for different profiles, and it can provide bandwidth savings between 30 and 52%, with a very low computational cost as a counterpart. It has been implemented and tested in two different hardware platforms, with traffic generated by a Merging Unit.

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The dataset Provides S-parameter measurements of an AI enhanced wireless power transfer system using two ISO/ICE 14443-1 Coils with series capacitance compensation at 13.56 MHz under three configurations of vertical and horizontal misalignment, inter-coil distance, and azimuthal tilt. The structure and components of the system is shown in the Image attached to the Dataset This measured data validates the implementation of the system at the three coil configurations discussed in the publication.

 

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Intelligence and flexibility are the two main requirements for next-generation networks that can be implemented in  network slicing  (NetS) technology.This intelligence and flexibility can have different indicators in networks, such as proactivity and resilience. In this paper, we propose a novel proactive end-to-end (E2E) resource management in a packet-based model, supporting NetS.

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Molecular communication is a paradigm inspired by biological systems, where chemical signals encode and transmit information. MoSK (Molecule Shift Keying) is proposed as a modulation technique that utilizes different signaling molecules to encode digital information. MoSK mimics natural molecular communication by leveraging the diversity of signaling molecules and their specific roles. Experimental testbeds have been developed using microfluidic systems, droplet-based platforms, and biological cells to validate MoSK.

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The file contains the S4 data for 340GHz wave through the clear air. The data are obtained by a experimental setup working at 340 GHz, and the wave propagates throug the outdoor atmosphere, and the measured data are processed to the scintillation index data S­4, the meteorogical data are given, too. The meteorogical data includes temperature with the unit of ℃,the water vapour density in unit of g/m3, and the wind speed in unit of m/s. the S4 data is in the last row in the dataset.

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