Communications

In situations when the precise position of a machine is unknown, localization becomes crucial. It is crucial to identify and ascertain the machine's position. This research focuses on improving the position prediction accuracy over long-range networks using a unique machine learning-based technique. In order to increase the prediction accuracy of the reference point position on the data collected using the fingerprinting approach using LoRa technology, this study suggested an ML-based algorithm.

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619 Views

The Reflection Server Tuning dataset contains HiPerConTracer latency measurements performed in a lab setup. The purpose of the dataset is to measure the latency and jitter effects of  firewalls and Linux kernel tuning.

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245 Views

This paper investigates resource management in device-to-device (D2D) networks coexisting with mobile cellular user equipment (CUEs). We introduce a novel model for joint scheduling and resource management in D2D networks, taking into account environmental constraints. To preserve information freshness, measured by minimizing the average age of information (AoI), and to effectively utilize energy harvesting (EH) technology to satisfy the network’s energy needs, we formulate an online optimization problem.

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331 Views

Software-defined networking (SDN) and Network Function Virtualization (NFV) have revolutionized the way networks are designed, built, and operated. This paper presents how an SDN system, Office Without a Cool Acronym (OWCA), was designed and implemented to build an enterprise network that is secure, testable, and automates all aspects of managing networking devices. OWCA requires explicit authorization before forwarding a packet from a source to a destination, ensuring that only authorized traffic is allowed on the network. It is intent-driven and modeling based.

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15 Views

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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138 Views

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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152 Views

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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8 Views

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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651 Views

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

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119 Views

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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163 Views

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