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Transformer-Based Neural Surrogate for Link-Level Path Loss Prediction from Variable-Sized Maps
[article]
2023
arXiv
pre-print
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Estimating path loss for a transmitter-receiver location is key to many use-cases including network planning and handover. ...
In experiments, we show that the proposed model is able to efficiently learn dominant path losses from sparse training data and generalizes well when tested on novel maps. ...
better to novel maps than commonly used machine learning models for path loss prediction. ...
arXiv:2310.04570v2
fatcat:2wy6k43o3bdq3kwto6gbtxqyby
FusionNet: Enhanced Beam Prediction for mmWave Communications Using Sub-6GHz Channel and A Few Pilots
[article]
2020
arXiv
pre-print
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To further improve the beamforming performance and avoid over-fitting, we develop two data pre-processing approaches utilizing channel sparsity and data augmentation. ...
In this paper, we propose a new downlink beamforming strategy for mmWave communications using uplink sub-6GHz channel information and a very few mmWave pilots. ...
Using the above data augmentation approaches, a large number of new training samples can be generated. ...
arXiv:2009.02655v1
fatcat:p3pvqk342jeejmzpn5hbhaknjm
Dimensionality Reduced Antenna Array for Beamforming/steering
[article]
2022
arXiv
pre-print
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Based on this theoretical framework, an experimental board was built to verify the theory. Finally, the 16/8/4 -array beam steering was demonstrated by using 4/3/2 active controllers, respectively. ...
Here, we suggest a brand-new design for a phased array antenna with a dimension reduced cascaded angle offset (DRCAO-PAA). ...
To prevent overfitting, the mean absolute error (MAE) is used as the loss function of the model. ...
arXiv:2210.16197v1
fatcat:yemuqikoj5allccgjnjrb3xhfy
Program
2022
2022 International Conference on Decision Aid Sciences and Applications (DASA)
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The present study aims to develop an automatic AD detection using Electroencephalogram (EEG) signal to alleviate these problems and to support neurologists. ...
The proposed method can further be used to detect other neurological disorders. ...
Several data augmentation techniques were used to avoid overfitting and achieve high accuracy. ...
doi:10.1109/dasa54658.2022.9765271
fatcat:ttqppf4j3navnaxe653mrzmezi
Wireless Edge Computing with Latency and Reliability Guarantees
[article]
2019
arXiv
pre-print
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While current state-of-the-art networks communicate, compute, and process data in a centralized manner (at the cloud), for latency and compute-centric applications, both radio access and computational ...
This article will provide a fresh look to the concept of edge computing by first discussing the applications that the network edge must provide, with a special emphasis on the ensuing challenges in enabling ...
stores a 5-layer convolutional neural network (CNN). ...
arXiv:1905.05316v1
fatcat:bxbacmfeobddxczdpp6x7xcsr4
Engineering, Technology & Applied Science Research (ETASR), Vol. 12, No. 1, pp. 7974-8227
2022
Zenodo
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), and has been awarded a DOAJ seal. ...
ETASR is indexed in the Web of Science Core Collection (former Web of Science/Thomson Reuters Master Journal List), through the Emerging Sources Citation Index, is a Crossref member (DOI prefix: 10.48084 ...
The authors in [65] used the protein homology model along with 28 DL models and Reinforcement Learning (RL) techniques to evaluate drugs based on some predefined metrics. ...
doi:10.5281/zenodo.6369694
fatcat:nvdnhvh53rcvhiic5lij7azjka
International Conference on Recent and Future Trends in Smart Electronics System and Manufacturing
[chapter]
2023
International Conference on Recent and Future Trends in Smart Electronics System and Manufacturing
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Many E-commerce giants like Amazon, Flipkart are providing a platform that empowers users to share their real-time experiences and provide real-time insights about the performance of the product to future ...
Machine learning models like Naïve Bayes, Multinomial NB, Bernoulli NB and Logistic Regression are used during the study. The result predicted the sentiments of those reviews. ...
The algorithm also outperforms the convergence speed to track the MPP with a response time of less than 0.1 ms. ...
doi:10.13052/rp-9788770229852
fatcat:tuaudbqo2jci3afo37ay4us22q
2020 Index IEEE Transactions on Circuits and Systems I: Regular Papers Vol. 67
2020
IEEE Transactions on Circuits and Systems Part 1: Regular Papers
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., +, TCSI May 2020
1762-1774
Insertion loss
A 28GHz Reflective-Type Transmission-Line-Based Phase Shifter. ...
., +, TCSI Dec. 2020 4396-4408
Chemical reactors
A Novel Approach to State and Unknown Input Estimation for Takagi-
Sugeno Fuzzy Models With Applications to Fault Detection. ...
An N-Path Filter Design Methodology With Harmonic Rejection, Power Reduction, Foldback Elimination, and Spectrum Shaping. ...
doi:10.1109/tcsi.2021.3055003
fatcat:kbmst5td2bbvtl7vpbj3knnkri
Towards Energy Efficient 5G Networks using Machine Learning: Taxonomy, Research Challenges, and Future Research Directions
2020
IEEE Access
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Machine learning learns from historical data and draws graphs for traffic load. Linear regression is used to build a regression model to train data sets. ...
Base stations using mmWave are mostly equipped with large arrays of antennas that help overcome path loss, improve spectral efficiency, and increase capacity. ...
He is a Fellow of the Institute of Electrical and Electronic Engineers, Malaysia (MIEEE) and since 2010, a Registered Engineer with the Board of Engineers. ...
doi:10.1109/access.2020.3029903
fatcat:mm5y33dxefh5lkcpydusqsoquy
Contents
2020
2020 International Workshop on Electromagnetics: Applications and Student Innovation Competition (iWEM)
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After ten years of continuous holding, as a conference focusing on electromagnetics related topics, the iWEM becomes a small-scaled but international platform for scientists and engineers to exchange their ...
ideas, and also a good venue for young scholars and research students to demonstrate their innovative works and results on electromagnetic field, antennas, RF and microwave circuit, and measurement technology ...
Thanks for giving the permission to commence this study and to use departmental data. ...
doi:10.1109/iwem49354.2020.9237401
fatcat:soy4ile3tnaqdjgnvkm27dy4dq
Tactile based Intelligence Touch Technology in IoT configured WCN in B5G/6G-A Survey
2022
IEEE Access
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Such a touch-enabled interaction is primarily concerned with the real time transmission of the tactile based haptic information over the internet, in addition to the usual audio, visual and data traffic ...
It has a drastic impact on the society due to its high precision, accuracy, reliability and efficiency and the ability to connect a user from far away or remote areas. ...
[116] makes use of CNN to identify the relevant wireless channel. ...
doi:10.1109/access.2022.3148473
fatcat:dbzbqyq3efaj7pbfwf4izmju64
Federated learning empowered ultra-dense next-generation wireless networks
2024
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This approach seeks to enhance the situational awareness of UDNs regarding their surroundings by using a variety of sensors commonly found in urban areas, such as vision and radar sensors. ...
Despite these advancements, UDNs face critical challenges, which include worsened mobility issues in dynamic UDNs due to the susceptibility of LoS links to blockages, data privacy concerns at the network ...
During the HO process, the user experiences a drop in RSSI due to path loss. ...
doi:10.5525/gla.thesis.84124
fatcat:jdkkhx5hgjf7hnp4icftf37wtq