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Design and convergence analysis of an IIC-based BICM-ID receiver for FBMC-QAM systems
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 …
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 …
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 …
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
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 …
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
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 …
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 …
for researchers in this time. Hence, in this paper the deep learning (DL) techniques was …
An Efficient Encoder Architecture Design for Cognitive Radio Networks
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 …
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 …
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 …
conventional orthogonal division multiplexing (OFDM) has proven to be an effective physical …
Downlink Linear Precoders Based on Statistical CSI for Multicell MIMO‐OFDM
With 5G communication systems on the horizon, efficient interference management in
heterogeneous multicell networks is more vital than ever. This paper investigates the linear …
heterogeneous multicell networks is more vital than ever. This paper investigates the linear …