Wireless Networking

Wireless Sensor Networks (WSNs) are self-organizing wireless networks comprising a large number of wireless sensors. Consequently, WSNs represent a potential method for providing communication in areas where the communication infrastructure has been severely damaged.

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The dataset is built upon a multi-layer multi-domain (MLMD) network topology of a real testbed.

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Phase noise is a common hardware impairment, resulting from the frequency instability of voltage-controlled oscillators (VCO). To improve the phase noise performance of a VCO, they are typically connected to a control circuit. This control circuit is known as phase locked loop (PLL). It is commonly used as a frequency synthesizing circuit for the carrier frequency in mobile communication transceivers. Universal Software Radio Peripherals (USRP) are widely used in mobile communication research.

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This document provides the values of the channel parameters to help reproduce the results of Fig. 13 of "Practice and Evaluation for Ceiling-Mounted MIMO Indoor Base Stations with Antenna Optimization and SAR Touch Compliance" submitted to IEEE Transactions on Antennas and Propagation. In the indoor-office scenario, when the UE (Rx) and BS (Tx) are located at (5m, 5m, -2m), (0m, 0m, 0m) respectively, the line of sight (LOS) zenith angle of departure (ZOD) is 105.79°, and the LOS azimuth angle of departure (AOD) is 45°.

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The data repository contains data sets obtained with Quantum-approximate optimization algorithm (QAOA) simulations and experiments for the main article in [1]. For a comprehensive understanding, please check readme_qaoa_mvsic.pdf file and refer to the main article in [1]. We design, theoretically model, simulate and experiment QAOA-MVSIC algorithm combining QAOA, majority voting (MV) and successive interference cancellation (SIC) to target experimental challenges of QAOA for maximum-likelihood (ML) decoding for n × n massive multi-input multi-output (MIMO) systems with large n.

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This dataset has been collected from both User Equipment (UE) and Network sides. UE side metrics consist of radio metrics that have been merged with localization information from the modem. Network side metrics consist of network Key Performance Indicators (KPI).

The dataset contains both stationary and movement samples for different approaches. Beamforming information is available from the serving and up to 3 neighbouring beams.

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Routing methods on wireless network topology face unstable packet delivery and low resources, so many possibilities when reconstructing its topology has been neglected. This caused huge traffic at nodes on topology’s best links, furthermore even those good nodes’ electricity consumption tear down too soon. Recently, these problems are gradually improving, thus this technical enhancement brought IoT into smart-home technology. However, RPL (Routing Protocols for Low) is still not recommended for them since its traffic burst makes its link reliability extremely poor.

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The dataset from the article "Polynomial-Complexity Deadlock Avoidance Policy for Tasks Offloading in Satellite Edge Computing with Data-Dependent Constraints" published in IEEE Transactions on Aerospace and Electronic Systems is compressed into a zip file. Once unzipped, it contains "*.pickle" files for use with Python, including the testing instances used in the article.

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Putting together software that lets patients make their appointments and software that helps them book appointments is making healthcare centres more accessible and useful. These systems put all of the appointment bookings in one place, so patients can make appointments across many areas and specialties. Standardizing the planning process for healthcare workers can help them save time and money by streamlining their work and lowering the costs of running their businesses.

 

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Along with the continuous growth of Internet usage, mobile users are becoming increasingly relevant as they are responsible for the largest percentage of web traffic. Conse- quently, a large and growing body of literature has been based on cellular data to gain a deeper understanding of several Internet-related concerns. Nevertheless, accessing high-quality cellular datasets can be a challenge for research teams due to scarcity and restricted access.

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