Wireless Networking
The dataset consists of a 203.24 MHz signal strength variation in dBuV/m taken at different distances (d) across the hilly terrain region of the study area. In the measurement location is indicated along with the elevation profile.The transmitter is at an elevation of 1369 m above sea level while the receiver antenna stands at 1.8 m above ground, where its elevation is defined by the elevation profile as provided in the dataset. The transmit power is 10 KW which is centered at 204.25 MHz.
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This design presents a novel tightly coupled dipole array (TCDA) with a bandwidth of 26.1:1 (VSWR < 3) in the 0.20-5.22 GHz band. By adding a new dual-stopband resistive frequency selective surface (RFSS) between the TCA and the floor, the short-circuit points formed by the floor at the frequency points corresponding to λ = 2h and h (h is the height from the antenna to the floor) are both eliminated.
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The utilization of Wi-Fi-based technology for pervasive
indoor user identification has gained prominence due to its cost-
effective nature and compatibility with user devices. For identifying
unique users, previous works proposed capturing the media access
control (MAC) address of the signal emitted from a user’s device,
while information elements(IE)-based MAC de-randomization meth-
ods were presented to mitigate the impairment caused by random
MAC. However, the IE types of different Wi-Fi devices are not
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This 5G dataset that can be used to advance research in attack detection in 5G service based architecture was generated using the open-source Free5GC testbed and UERANSIM, a UE/RAN simulator. The dataset include benign traffic featuring 5G procedures (e.g., registration, deregistration, PDU session establishment/release, uplink, downlink) along with 6 different HTTP/2 attack simulated between different 5G network functions. including:
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This dataset is supplementary materials for "Study and Implementation of VLC with Angular Diversity Receiver for IoT Systems".
1. ADR Demonstraion.mp4
This describes the prototype of the ADR for IoT systems. It starts from the introduction of the prototype to the demonstration.
Real-time sensor data transmission is demonstrated. The monitor shows the light sensor value at the access point and the user node.
2. Mobile suitability Demonstration.mp4
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This paper includes a variety of media location data generated in the paper.According to the wideband near-field signal propagation model, sample data were generated based on four layers of media with known media types. The main differences between simulated data and real data are errors due to electromagnetic dispersion, multipath and noise, which are not currently taken into account because of different electromagnetic characteristics in inhomogeneous media. The setting of condition variables in the experiment was shown in Table I.
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This work provides an in-depth analysis of the
Listen-Before-Talk (LBT) procedures that cellular technologies
must adhere to for operation in the unlicensed spectrum. In par-
ticular, we provide detailed insights into the 5G New Radio Un-
licensed (NR-U) standalone design according to the latest 3GPP
standard-compliant Type 1 Channel Access Procedure (CAP).
We highlight some of the challenges and propose improved
mechanisms for channel access. We carry out the performance
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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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