Wireless Networking
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Integrated Access and Backhaul (IAB) networks
offer a versatile and scalable solution for expanding broadband
coverage in urban environments. However, optimizing the deploy-
ment of IAB nodes to ensure reliable coverage while minimizing
costs poses significant challenges, particularly given the location
constraints and the highly dynamic nature of urban settings. This
work introduces a novel Deep Reinforcement Learning (DRL)
approach for IAB network planning, considering urban con-
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100 Views
Dataset containing real word data related to the informations receive on a downlink and an uplink channels. The information related to the data flowing on the channel are expressed by means of complex numbers. Some processing can be performed to convert the complex number into integer numbers in order to represent the channel as preferred. This dataset can be used to develop new compression and channel estimation algorithms.
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388 Views
This study investigates the application of advanced machine learning models, specifically Long Short-Term Memory (LSTM) networks and Gradient Booster models, for accurate energy consumption estimation within a Kubernetes cluster environment. It aims to enhance sustainable computing practices by providing precise predictions of energy usage across various computing nodes. Through meticulous analysis of model performance on both master and worker nodes, the research reveals the strengths and potential applications of these models in promoting energy efficiency.
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469 Views
This dataset presents real measurements of radio frequency signals in a railway corridor within the Atlantic Forest in the state of São Paulo, Brazil. A transmitter antenna fixed on a pole inside the corridor was used together with an RF generator transmitting a CW signal in the 460 MHz band. A mobile receiving antenna was installed on the roof of a locomotive and connected to a spectrum analyzer, a laptop and software for data reading were used together, coupled to a GPS antenna. Thus, the measured signal was geographically recorded as the train traveled along the corridor.
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141 Views
The integration of uncrewed aerial vehicles (UAVs)
with fifth-generation (5G) cellular networks has been a prominent
research focus in recent years and continues to attract significant
interest in the context of sixth-generation (6G) wireless networks.
UAVs can serve as aerial wireless platforms to provide on-demand
coverage, mobile edge computing, and enhanced sensing and
communication services. However, UAV-assisted networks present
new opportunities and challenges due to the inherent size, weight,
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154 Views
Relative direction estimation among neighboring vehicles in urban environments is essential to a wide variety
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308 Views
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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67 Views