Federated learning and next generation wireless communications: A survey on bidirectional relationship

D Shome, O Waqar, WU Khan - Transactions on Emerging …, 2022 - Wiley Online Library
In order to meet the extremely heterogeneous requirements of the next generation wireless
communication networks, research community is increasingly dependent on using machine …

Artificial intelligence for channel estimation in multicarrier systems for B5G/6G communications: a survey

EC Vilas Boas, JDS e Silva, FAP de Figueiredo… - EURASIP Journal on …, 2022 - Springer
Multicarrier modulation allows for deploying wideband systems resilient to multipath fading
channels, impulsive noise, and intersymbol interference compared to single-carrier systems …

SVM-based channel estimation and data detection for one-bit massive MIMO systems

LV Nguyen, AL Swindlehurst… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The use of low-resolution Analog-to-Digital Converters (ADCs) is a practical solution for
reducing cost and power consumption for massive Multiple-Input-Multiple-Output (MIMO) …

[图书][B] Support vector machines for antenna array processing and electromagnetics

M Martínez-Ramón, C Christodoulou - 2022 - books.google.com
Support Vector Machines (SVM) were introduced in the early 90's as a novel nonlinear
solution for classification and regression tasks. These techniques have been proved to have …

A novel algorithm for feature level fusion using SVM classifier for multibiometrics‐based person identification

U Gawande, M Zaveri, A Kapur - … Intelligence and Soft …, 2013 - Wiley Online Library
Recent times witnessed many advancements in the field of biometric and ultimodal biometric
fields. This is typically observed in the area, of security, privacy, and forensics. Even for the …

Parameterized cancellation of partial-band partial-block-duration interference for underwater acoustic OFDM

Z Wang, S Zhou, J Catipovic, P Willett - Proceedings of the 6th …, 2011 - dl.acm.org
Despite that underwater acoustic channels are well known to contain various interferences,
research on interference mitigation in underwater acoustic communications has been very …

Study and evaluation of a multi-class SVM classifier using diminishing learning technique

J Manikandan, B Venkataramani - Neurocomputing, 2010 - Elsevier
Support vector machine (SVM) is one of the state-of-the-art tools for linear and non-linear
pattern classification. One of the design objectives of an SVM classifier is reducing the …

Support vector machine classification using semi-parametric model

MG Akbari, S Khorashadizadeh, MH Majidi - Soft Computing, 2022 - Springer
Pattern recognition and data mining using support vector machine (SVM) have been the
focus of widespread researches in recent decades. In SVM, a hyper-plane is designed to …

Effect of face and ocular multimodal biometric systems on gender classification

M Eskandari, O Sharifi - IET biometrics, 2019 - Wiley Online Library
This study is concerned with analysing face–ocular multimodal biometric systems for a
person gender prediction. Particularly, this is the first study considering fusion of face and …

Joint interpolation for LTE downlink channel estimation in very high‐mobility environments with support vector machine regression

A Charrada, A Samet - IET Communications, 2016 - Wiley Online Library
In this study, the estimation of fast‐fading long term evolution (LTE) downlink channels in
high‐speed applications of LTE advanced is investigated by the authors. A robust channel …