Mobility management for heterogeneous long term evolution mobile networks based on drive test measurement by Abu ElGasim, Ahmed Abdelsalam Mohamed Kheir

“…Mobility for high-speed users has been a significant challenge for all mobile networks such as long-term evolution (LTE). Heterogeneous Network (HetNet) comprises numerous cells of varying sizes, various carrier frequency band and cell coverage. …”
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Advanced mobility robustness optimization models in future mobile networks based on machine learning solutions by Tashan, Waheeb, Shayea, Ibraheem, Aldirmaz-Çolak, Sultan, Abdul Aziz, Omar, Alhammadi, Abdulraqeb, Daradkeh, Yousef Ibrahim

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A survey of applications of artificial intelligence and machine learning in future mobile networks-enabled systems by Yazici, İbrahim, Shayea, Ibraheem, Din, Jafri

“…These fields reap benefits of data collected by Internet of Things (IoT) in next generation (5G and 5BG) mobile networks. The IoT concept transforms different fields by providing large amount of data to be used in their operations. …”
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A Method of Forming the Optimal Set of Disjoint Path in Computer Networks by As'ad Mahmoud As'ad ALNASER

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Enhancing AODV routing table for internet connectivity in ad-hoc mobile network using IPv6 / by Haider N. Hussain, 1981-, Kamarulnizam Abu Bakar, Fakulti Sains Komputer dan Sistem Maklumat

A Systematic Review on Machine Learning and Deep Learning Models for Electronic Information Security in Mobile Networks by Chaitanya Gupta, Ishita Johri, Kathiravan Srinivasan, Yuh-Chung Hu, Saeed Mian Qaisar, Kuo-Yi Huang

“…We address the necessity to develop new approaches to provide high security of electronic data in mobile networks because the possibilities for increasing mobile network security are inexhaustible.…”
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Development of forecast models for COVID-19 hospital admissions using anonymized and aggregated mobile network data by Jalil Taghia, Valentin Kulyk, Selim Ickin, Mats Folkesson, Cecilia Nyström, Kristofer Ȧgren, Thomas Brezicka, Tore Vingare, Julia Karlsson, Ingrid Fritzell, Ralph Harlid, Bo Palaszewski, Magnus Kjellberg, Jörgen Gustafsson

“…Crucially, we show that there are latent features in irreversibly anonymized and aggregated mobile network data that carry useful information in relation to the spread of SARS-CoV-2 virus. …”
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Complex Conjugated certificateless-based signcryption with differential integrated factor for secured message communication in mobile network. by Sumithra Alagarsamy, S P Rajagopalan

“…In addition, compared with the three other existing schemes, the CC-DIF scheme has the least computational cost and communication overhead for secured message communication in mobile network.…”
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Challenges for Coexistence of Machine to Machine and Human to Human Applications in Mobile Network: Concept of Smart Mobility Management by Rajarshi Sanyal, Ernestina Cianca, Ramjee Prasad

“…A key factor for the evolution of the mobile networks towards 4G is to bring to fruition high bandwidth per mobile node. …”
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A Quantitative and Comparative Evaluation of Key Points Selection Algorithms for Mobile Network Data Sets Analysis by David Cortes-Polo, Luis Ignacio Jimenez Gil, Jose-Luis Gonzalez-Sanchez, Javier Carmona-Murillo

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An Intelligent Handover Mechanism Based on MOS Predictions for Real-Time Video Conference Services in Mobile Networks by Tsung-Han Lee, Lin-Huang Chang, Ya-Shu Chan

“…In mobile networks, handover mechanisms provide fast and smooth access service for mobile users. …”
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Research of Machine Learning Algorithms for the Development of Intrusion Detection Systems in 5G Mobile Networks and Beyond by Azamat Imanbayev, Sakhybay Tynymbayev, Roman Odarchenko, Sergiy Gnatyuk, Rat Berdibayev, Alimzhan Baikenov, Nargiz Kaniyeva

“…The introduction of fifth generation mobile networks is underway all over the world which makes many people think about the security of the network from any hacking. …”
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Scenarios and business models for mobile network operators utilizing the hybrid use concept of the UHF broadcasting spectrum by S. Yrjölä, P. Ahokangas, P. Talmola

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Predictive Capacity Planning for Mobile Networks—ML Supported Prediction of Network Performance and User Experience Evolution by Igor Tomic, Eoin Bleakley, Predrag Ivanis

Subjects: “…mobile network…”
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Research Trends in the Use of Machine Learning Applied in Mobile Networks: A Bibliometric Approach and Research Agenda by Vanessa García-Pineda, Alejandro Valencia-Arias, Juan Camilo Patiño-Vanegas, Juan José Flores Cueto, Diana Arango-Botero, Angel Marcelo Rojas Coronel, Paula Andrea Rodríguez-Correa

Subjects: “…mobile networks…”
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On the Use of Spatial Graphs for Performance Degradation Root-Cause Analysis Toward Self-Healing Mobile Networks by Luis Mata, Marco Sousa, Pedro Vieira, Maria Paula Queluz, Antonio Rodrigues

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A lightweight D2D security protocol with request-forecasting for next-generation mobile networks by Daniel Gerbi Duguma, Jiyoon Kim, Sangmin Lee, Nam-Su Jho, Vishal Sharma, Ilsun You

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Propagation-Model-Free Base Station Deployment for Mobile Networks: Integrating Machine Learning and Heuristic Methods by Lingcheng Dai, Hongtao Zhang

“…As densification is the promising trend of future mobile networks, deployment of base stations (BSs) becomes increasingly difficult due to the laborious procedures in network planning; besides, unreasonable layout may lead to poor coverage performance. …”
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INVESTIGATION OF THE DEPENDENCE OF THE STRUCTURE OF SHIFT INDEXES VECTORS ON THE PROPERTIES OF RING CODES IN THE MOBILE NETWORKS OF THE INTERNET OF THINGS by Vladislav Kravchenko, Olena Hryshchenko, Viktoriia Skrypnik, Hanna Dudarieva

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RIS-Aided Proactive Mobile Network Downlink Interference Suppression: A Deep Reinforcement Learning Approach by Yingze Wang, Mengying Sun, Qimei Cui, Kwang-Cheng Chen, Yaxin Liao

Subjects: “…proactive mobile network (PMN)…”
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