This study explores the optimisation of Multiple Input Multiple Output-Orthogonal Frequency
Division Multiplexing (MIMO-OFDM) systems through the use of phased arrays and …

The investigation in this study entails integrating blockchain technology with maximal ratio
combining in a triple branch configuration for secure communications under multipath fading …

In This research paper introduces a robust deep learning model, ECG-CNN, designed for
heartbeat categorization. Leveraging a meticulously curated dataset encompassing diverse …

The advances of 5G era systems and technology throughout the years suggests new uses
for Adaptive beamforming and Digital Signal Processing (DSP) strategies in the …

In This research investigates the streamlined implementation of Semantic Segmentation
Neural Networks through advanced techniques: pruning and quantization. Leveraging the …

This paper serves to show how Q-learning can be used in complement with Maximal Ratio
Combining to better IoT communication systems under dynamic fading, high-density …

Throughout this paper, the reader was able to better understand how innovative optimization
techniques through NFV and SFC frameworks could and should be applied to address the …

This research paper proposes a novel cross-layer design framework of adaptive
mechanisms and QoS strategies to improve the QoS of mobile video streaming in the face of …

In this paper, we study the multi-layered security approaches for cooperative relay networks
against passive eavesdropping adversaries. Specifically, we investigated physical layer …

This paper is organized as follows: Section II provides a background on our research work
based on DSA in CRNs using CR under different fading conditions. c) Performance: We also …