Ubiquitous Communications and Network Computing

This book constitutes the refereed proceedings of the 4th International Conference on Ubiquitous Communications and Network Computing, UBICNET 2021, held in March 2021. Due to COVID-19 pandemic the conference was held virtually.
The 17 full papers were selected from 59 submissions and are basically arranged in different sessions on 5G networks, millimeter wave communication systems and emerging applications; quantum communication, IoT and emerging applications; data analytics and cloud computing; artificial neural network, machine learning and emerging applications.

Inhalt
Analysis of Generic Routing Encapsulation (GRE) over IP Security (IPSec) VPN Tunneling in IPv6 Network.- Mobility Management based Mode Selection Method for next generation network.- Specification of a Distributed Architecture, for the management of Data and Services close to users.- A Leading Edge Detection Algorithm for UWB based Indoor Positioning Systems.- Designing Multiband Millimeter Wave Antenna for 5G and Beyond.- Analog Beamforming mm-wave two user Non-Orthogonal Multiple Access.- Quantum Communication, IoT and Emerging Applications 7 A novel Multi-User Quantum Communication System using CDMA and Quantum Fourier Transform.- Qubit Share Multiple Access Scheme (QSMA) .- Design of CoAP based System for Monitoring and Controlling Physical Parameters.- Hardware trojan detection with data augmentation using CT-GAN and SMOTE for IoT using XGBoost algorithm.- Data Analytics and Cloud Computing 11 Predictive Modeling of the Spread of COVID-19: The case of India.- ASIF: An Internal Representation Suitable for Program Transformation and Parallel Conversion.- Performance Comparison of VM Allocation and Selection Policies in an Integrated Fog-Cloud Environment.- Artificial Neural Network, Machine Learning and emerging applications.- Fraud Detection in Credit Card Transaction Using ANN and SVM.- Detection of Leukemia using K-means Clustering and Machine Learning.- An Analysis and Implementation of a Deep Learning Model for Image.- Abstractive Text Summarization on Templatized Data.