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08/24/2023
Eigenvector prediction-based precoding for massive MIMO with mobility
Eigenvector decomposition (EVD) is an inevitable operation to obtain the...
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07/30/2023
Integrated Private Data Trading Systems for Data Marketplaces
In the digital age, data is a valuable commodity, and data marketplaces ...
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04/28/2023
A manifold learning-based CSI feedback framework for FDD massive MIMO
Massive multi-input multi-output (MIMO) in Frequency Division Duplex (FD...
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09/19/2022
Online and semi-online scheduling on two hierarchical machines with a common due date to maximize the total early work
In this study, we investigated several online and semi-online scheduling...
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08/04/2022
A Primal-Dual Based Power Control Approach for Capacitated Edge Servers
The intensity of radio waves decays rapidly with increasing propagation ...
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08/03/2022
A Multi-Dimensional Matrix Pencil-Based Channel Prediction Method for Massive MIMO with Mobility
This paper addresses the mobility problem in massive multiple-input mult...
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07/31/2022
A Local-Ratio-Based Power Control Approach for Capacitated Access Points in Mobile Edge Computing
Terminal devices (TDs) connect to networks through access points (APs) i...
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02/11/2022
A Partial Reciprocity-based Channel Prediction Framework for FDD massive MIMO with High Mobility
Massive multiple-input multiple-output (MIMO) is believed to deliver unr...
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01/04/2022
Towards Understanding and Harnessing the Effect of Image Transformation in Adversarial Detection
Deep neural networks (DNNs) are threatened by adversarial examples. Adve...
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12/16/2021
Sensitivity Analysis of the MCRF Model to Different Transiogram Joint Modeling Methods for Simulating Categorical Spatial Variables
Markov chain geostatistics is a methodology for simulating categorical f...
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07/24/2020
Improved approximation schemes for early work scheduling on identical parallel machines with common due date
We study the early work scheduling problem on identical parallel machine...
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07/16/2018