Machine learning for wireless communications in the Internet of Things: A comprehensive survey
Abstract The Internet of Things (IoT) is expected to require more effective and efficient
wireless communications than ever before. For this reason, techniques such as spectrum …
wireless communications than ever before. For this reason, techniques such as spectrum …
Deep learning-based channel estimation
In this letter, we present a deep learning algorithm for channel estimation in communication
systems. We consider the time-frequency response of a fast fading communication channel …
systems. We consider the time-frequency response of a fast fading communication channel …
[图书][B] Kernel adaptive filtering: a comprehensive introduction
W Liu, JC Principe, S Haykin - 2011 - books.google.com
Online learning from a signal processing perspective There is increased interest in kernel
learning algorithms in neural networks and a growing need for nonlinear adaptive …
learning algorithms in neural networks and a growing need for nonlinear adaptive …
[图书][B] Digital signal processing with Kernel methods
A realistic and comprehensive review of joint approaches to machine learning and signal
processing algorithms, with application to communications, multimedia, and biomedical …
processing algorithms, with application to communications, multimedia, and biomedical …
A sliding-window kernel RLS algorithm and its application to nonlinear channel identification
S Van Vaerenbergh, J Via… - 2006 IEEE International …, 2006 - ieeexplore.ieee.org
In this paper we propose a new kernel-based version of the recursive least-squares (RLS)
algorithm for fast adaptive nonlinear filtering. Unlike other previous approaches, we combine …
algorithm for fast adaptive nonlinear filtering. Unlike other previous approaches, we combine …
Massive connectivity with machine learning for the Internet of Things
Driven by the need to ensure the connectivity of an unprecedentedly huge number of IoT
devices with no human intervention the issues of massive connectivity have recently …
devices with no human intervention the issues of massive connectivity have recently …
FusionNet: Enhanced beam prediction for mmWave communications using sub-6 GHz channel and a few pilots
In order to reduce the downlink training overhead of mmWave communications, we propose
a novel downlink beamforming strategy using the uplink sub-6GHz channel and downlink …
a novel downlink beamforming strategy using the uplink sub-6GHz channel and downlink …
A type-2 neuro-fuzzy system based on clustering and gradient techniques applied to system identification and channel equalization
The integration of fuzzy systems and neural networks has recently become a popular
approach in engineering fields for modelling and control of uncertain systems. This paper …
approach in engineering fields for modelling and control of uncertain systems. This paper …
Blind equalization of constant modulus signals using support vector machines
I Santamaría, C Pantaleón, L Vielva… - IEEE Transactions on …, 2004 - ieeexplore.ieee.org
In this paper, the problem of blind equalization of constant modulus (CM) signals is
formulated within the support vector regression (SVR) framework. The quadratic inequalities …
formulated within the support vector regression (SVR) framework. The quadratic inequalities …
Analysis on the channel prediction accuracy of deep learning-based approach
WS Son, DS Han - … on artificial intelligence in information and …, 2021 - ieeexplore.ieee.org
In recent days, the vehicular communication system (VCS) plays an important role in driving
safety and traffic information. In VCS, one of the most important factors that affects the system …
safety and traffic information. In VCS, one of the most important factors that affects the system …