Design and convergence analysis of an IIC-based BICM-ID receiver for FBMC-QAM systems

S Mahama, YJ Harbi, AG Burr… - IEEE Open Journal of the …, 2020 - ieeexplore.ieee.org
Next generation cellular networks are expected to connect billions of devices through its
massive machine-type communication (mMTC) use case. To achieve this, waveforms with …

An improved cross talk cancelling digital predistortion for MIMO transmitters

Z Zhang, Y Shen, S Shao, W Pan… - Mobile Information …, 2016 - Wiley Online Library
An improved cross talk cancelling digital predistortion (ICTC‐DPD) with novel estimating
technique and decoupling technique is proposed, which can be used to compensate the …

Deep learning decoder for MIMO communications with impulsive noise

O Delgado, F Labeau - 2020 IEEE 17th Annual Consumer …, 2020 - ieeexplore.ieee.org
In this paper we consider signal detection in multiple-input-multiple-output (MIMO) systems
with an impulsive noise channel. The existing, near optimal, sphere decoder (SD) achieves …

Desempeño de Controladores Inalámbricos Codificados Aplicados en Turbinas Eólicas Conectadas a una Smart Grid

AS Lunardi, EVV Cambero, JG Cardoso… - … de Automática e …, 2018 - polipapers.upv.es
Actualmente, con el avance de las tecnologías de smart grid, la participación de las fuentes
renovables en los sistemas energéticos está cambiando para atender las nuevas …

Evaluating Performance: A Study of Encrypted vs. Unencoded Signals in SISO-OFDM with LS and MMSE Estimations

MA Imran, YJ Harbi - BIO Web of Conferences, 2024 - bio-conferences.org
The continuous progress in digital communication has played a crucial role in meeting the
increasing need for faster data rates. Orthogonal Frequency Division Multiplexing (OFDM), a …

Low Noise and Complexity Deep Learning Decoder for MIMO in image transmission for health System

WM MOHAMMED, ON UÇAN - 2024 - researchsquare.com
The signals detections in MIMOs system under different noise channels is major challenges
for researchers in this time. Hence, in this paper the deep learning (DL) techniques was …

An Efficient Encoder Architecture Design for Cognitive Radio Networks

D Abitha Kumari, J Sutha - Wireless Personal Communications, 2018 - Springer
Interference formation between received symbols in Cognitive Radio (CR) network system is
the main problem which reduces the performance of the CR networks. In this paper, efficient …

[PDF][PDF] Low Power Interference Detection and Cancellation Architecture for Cognitive Radio Networks

DAKJ Sutha - researchgate.net
The interference is occurred in the received sequence which degrades the received signal
quality. This paper proposes an efficient methodology for interference level estimation in …

Filter bank multicarrier waveforms for future wireless networks: interference analysis and cancellation

SA Mahama - 2021 - etheses.whiterose.ac.uk
Billions of devices are expected to connect to future wireless networks. Although
conventional orthogonal division multiplexing (OFDM) has proven to be an effective physical …

Downlink Linear Precoders Based on Statistical CSI for Multicell MIMO‐OFDM

E Baktash, CH Lin, X Wang… - … and Mobile Computing, 2017 - Wiley Online Library
With 5G communication systems on the horizon, efficient interference management in
heterogeneous multicell networks is more vital than ever. This paper investigates the linear …