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A great deal of attention has been recently given to Machine Learning (ML) techniques in many different application fields. This paper provides a vision of what ML can do in Power Line Communications (PLC). We firstly and briefly describe…

Signal Processing · Electrical Eng. & Systems 2019-06-07 Andrea M. Tonello , Nunzio A. Letizia , Davide Righini , Francesco Marcuzzi

High data rates are one of the most prevalent requirements in current mobile communications. To cover this and other high standards regarding performance, increasing coverage, capacity, and reliability, numerous works have proposed the…

Information Theory · Computer Science 2023-07-26 Gabriela Morillo , John Cosmas

A nonlinear channel estimator using complex Least Square Support Vector Machines (LS-SVM) is proposed for pilot-aided OFDM system and applied to Long Term Evolution (LTE) downlink under high mobility conditions. The estimation algorithm…

Machine Learning · Computer Science 2014-12-12 Anis Charrada , Abdelaziz Samet

This paper proposes a novel and simple orthogonal faster than Nyquist (OFTN) data transmission and detection approach for a single input multiple output (SIMO) system. It is assumed that the signal having a bandwidth $B$ is transmitted…

Information Theory · Computer Science 2017-07-25 Tadilo Endeshaw Bogale , Long Bao Le , Xianbin Wang , Luc Vandendorpe

In multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems, representing the whole channel only based on partial subchannels will significantly reduce the channel acquisition overhead. For such a…

Signal Processing · Electrical Eng. & Systems 2024-01-09 Zirui Chen , Zhaoyang Zhang , Zhaohui Yang , Lei Liu

We propose and examine the idea of continuously adapting state-of-the-art neural network (NN)-based orthogonal frequency division multiplex (OFDM) receivers to current channel conditions. This online adaptation via retraining is mainly…

In this article, we discuss some of the recent developments in applying machine learning (ML) techniques to nonlinear dynamical systems. In particular, we demonstrate how to build a suitable ML framework for addressing two specific…

Adaptation and Self-Organizing Systems · Physics 2020-11-30 Sayan Roy , Debanjan Rana

Prior research on out-of-distribution detection (OoDD) has primarily focused on single-modality models. Recently, with the advent of large-scale pretrained vision-language models such as CLIP, OoDD methods utilizing such multi-modal…

Computer Vision and Pattern Recognition · Computer Science 2025-03-25 Jeonghyeon Kim , Sangheum Hwang

High-mobility scenarios will be a critical part of 6G systems. Since the widely deployed orthogonal frequency division multiplexing (OFDM) waveform suffers from subcarrier orthogonality loss under severe Doppler spread, delay-Doppler domain…

Signal Processing · Electrical Eng. & Systems 2026-05-12 Yiyan Ma , Bo Ai , Jinhong Yuan , Shuangyang Li , Qingqing Cheng , Zhenguo Shi , Weijie Yuan , Zhiqiang Wei , Akram Shafie , Guoyu Ma , Yunlong Lu , Mi Yang , Zhangdui Zhong

In orthogonal frequency division multiplexing (OFDM), accurate channel estimation is crucial. Classical signal processing-based approaches, such as linear minimum mean-squared error (LMMSE) estimation, often require second-order statistics…

Signal Processing · Electrical Eng. & Systems 2026-01-28 TaeJun Ha , Chaehyun Jung , Hyeonuk Kim , Jeongwoo Park , Jeonghun Park

The Terahertz band holds a promise to enable both super-accurate sensing and ultra-fast communication. However, challenges arise that severe Doppler effects call for a waveform with high Doppler robustness while severe propagation path loss…

Signal Processing · Electrical Eng. & Systems 2025-02-26 Meilin Li , Chong Han , Shi Jin

Massive MIMO communication systems, by virtue of utilizing very large number of antennas, have a potential to yield higher spectral and energy efficiency in comparison with the conventional MIMO systems. In this paper, we consider uplink…

Information Theory · Computer Science 2015-07-30 Alam Zaib , Mudassir Masood , Anum Ali , Weiyu Xu , Tareq Y. Al-Naffouri

Advancing Machine Learning (ML)-based perception models for autonomous systems necessitates addressing weak spots within the models, particularly in challenging Operational Design Domains (ODDs). These are environmental operating conditions…

Machine Learning · Computer Science 2024-09-02 Ahmed Hammam , Bharathwaj Krishnaswami Sreedhar , Nura Kawa , Tim Patzelt , Oliver De Candido

The rapid evolution of the International Mobile Telecommunications (IMT) landscape has prompted the International Telecommunications Union Working Party 5D (ITU WP5D) to outline the framework for IMT-2030 and beyond. This next-generation…

Signal Processing · Electrical Eng. & Systems 2024-09-16 Koteswara Rao Gudimitla , Sibgath Ali Khan M , Kiran Kuchi

We propose a blind ML-based modulation detection for OFDM-based technologies. Unlike previous works that assume an ideal environment with precise knowledge of subcarrier count and cyclic prefix location, we consider blind modulation…

Machine Learning · Computer Science 2024-08-16 Ali Pourranjbar , Georges Kaddoum , Verdier Assoume Mba , Sahil Garg , Satinder Singh

Asymmetrically clipped optical orthogonal frequency-division multiplexing (ACO-OFDM) is a technique that sacrifices spectral efficiency in order to transmit an orthogonally frequency-division multiplexed signal over a unipolar channel, such…

Information Theory · Computer Science 2016-03-10 Arthur James Lowery

Index modulation (IM) brings the reduction of power consumption and complexity of the transmitter to classical multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems. However, due to the introduction…

Signal Processing · Electrical Eng. & Systems 2019-11-14 Jinxue Liu , Hancheng Lu

The orthogonal frequency division multiplexing (OFDM) transmission has shown promise in applications of visible light communication (VLC). However, the variation of the nonlinearity of the optical power emitted by the high power light…

Signal Processing · Electrical Eng. & Systems 2019-07-24 Luis Carlos Mathias , Jose Carlos Marinello Filho , Taufik Abrao

Orthogonal Frequency Division Multiplexing (OFDM) is an efficient method of data transmission for high speed communication systems. However, the main drawback of OFDM system is the high Peak to Average Power Ratio (PAPR) of the transmitted…

Networking and Internet Architecture · Computer Science 2012-05-11 Suverna Sengar , Partha Pratim Bhattacharya

The Orthogonal Frequency Division Multiplexing based M-ary Frequency Shift Keying (OFDM-MFSK) is a noncoherent modulation scheme which merges MFSK with the OFDM waveform. It is designed to improve the receiver sensitivity in the hard…

Signal Processing · Electrical Eng. & Systems 2017-10-31 Ghaith Al-Juboori , Angela Doufexi , Andrew R. Nix