Cargando…

Emerging Technologies for 6G Communication Networks: Machine Learning Approaches

The fifth generation achieved tremendous success, which brings high hopes for the next generation, as evidenced by the sixth generation (6G) key performance indicators, which include ultra-reliable low latency communication (URLLC), extremely high data rate, high energy and spectral efficiency, ultr...

Descripción completa

Detalles Bibliográficos
Autores principales:	Puspitasari, Annisa Anggun, An, To Truong, Alsharif, Mohammed H., Lee, Byung Moo
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Review
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10534410/ https://www.ncbi.nlm.nih.gov/pubmed/37765765 http://dx.doi.org/10.3390/s23187709

Ejemplares similares

A Survey on Reinforcement Learning for Reconfigurable Intelligent Surfaces in Wireless Communications
por: Puspitasari, Annisa Anggun, et al.
Publicado: (2023)

Emerging MIMO Technologies for 6G Networks
por: Dala Pegorara Souto, Victoria, et al.
Publicado: (2023)

A Review on Machine Learning Approaches for Network Malicious Behavior Detection in Emerging Technologies
por: Rabbani, Mahdi, et al.
Publicado: (2021)

Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts
por: You, Xiaohu, et al.
Publicado: (2020)

Machine Learning for Intelligent-Reflecting-Surface-Based Wireless Communication towards 6G: A Review
por: Sejan, Mohammad Abrar Shakil, et al.
Publicado: (2022)

Emerging communications technologies
por: Black, Uyless D
Publicado: (1994)

Emerging wireless communication and network technologies: principle, paradigm and performance
por: Arya, Karm Veer, et al.
Publicado: (2018)

Machine Learning for Communications
por: Aggarwal, Vaneet
Publicado: (2021)

Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks
por: Singh, Krishna, et al.
Publicado: (2020)

Adversarial Machine Learning for NextG Covert Communications Using Multiple Antennas
por: Kim, Brian, et al.
Publicado: (2022)

Space-Air-Ground Integrated 6G Wireless Communication Networks: A Review of Antenna Technologies and Application Scenarios
por: Dicandia, Francesco Alessio, et al.
Publicado: (2022)

Advanced Physical-Layer Technologies for Beyond 5G Wireless Communication Networks
por: Khalid, Waqas, et al.
Publicado: (2021)

Machine Learning for Multimedia Communications
por: Thomos, Nikolaos, et al.
Publicado: (2022)

Blockchain and Machine Learning Inspired Secure Smart Home Communication Network
por: Menon, Subhita, et al.
Publicado: (2023)

Optical wireless communications: an emerging technology
por: Uysal, Murat, et al.
Publicado: (2016)

Internet of Things, Machine Learning, and Blockchain Technology: Emerging technologies revolutionizing Universal Health Coverage
por: Babatunde, Abdulhammed Opeyemi, et al.
Publicado: (2022)

5G mobile and wireless communications technology /
Publicado: (2016)

A Low Complexity Near-Optimal Iterative Linear Detector for Massive MIMO in Realistic Radio Channels of 5G Communication Systems
por: Albreem, Mahmoud A., et al.
Publicado: (2020)

Machine Learning-Based 5G-and-Beyond Channel Estimation for MIMO-OFDM Communication Systems
por: Le, Ha An, et al.
Publicado: (2021)

Applications of machine learning in wireless communications
por: He, Ruisi, et al.
Publicado: (2019)

Machine learning for future wireless communications
por: Luo, Fa-Long
Publicado: (2020)

Aggregated Throughput Prediction for Collated Massive Machine-Type Communications in 5G Wireless Networks
por: Adel Aly, Ahmed, et al.
Publicado: (2019)

Network Meddling Detection Using Machine Learning Empowered with Blockchain Technology
por: Nasir, Muhammad Umar, et al.
Publicado: (2022)

Machine learning for healthcare technologies
por: Clifton, David A
Publicado: (2016)

Reinforcement Learning for Energy Optimization with 5G Communications in Vehicular Social Networks
por: Park, Hyebin, et al.
Publicado: (2020)

Discovery of Small-Molecule Activators for Glucose-6-Phosphate Dehydrogenase (G6PD) Using Machine Learning Approaches
por: Saddala, Madhu Sudhana, et al.
Publicado: (2020)

Energy-Efficient Hybrid Routing Protocol for IoT Communication Systems in 5G and Beyond
por: Baniata, Mohammad, et al.
Publicado: (2021)

Broadband communications: convergence of network technologies
por: Tsang, Danny H K, et al.
Publicado: (1999)

Federated learning for 6G-enabled secure communication systems: a comprehensive survey
por: Sirohi, Deepika, et al.
Publicado: (2023)

Emerging trends in communication networks
por: Hasan, Syed Faraz
Publicado: (2014)

Study of Machine Learning for Cloud Assisted IoT Security as a Service
por: Alsharif, Maram, et al.
Publicado: (2021)

Channel Characterization and Modeling for 6G UAV-Assisted Emergency Communications in Complicated Mountainous Scenarios
por: Zhang, Zhaolei, et al.
Publicado: (2023)

Machine learning aided construction of the quorum sensing communication network for human gut microbiota
por: Wu, Shengbo, et al.
Publicado: (2022)

Graphical models for machine learning and digital communication /
por: Frey, Brendan J.
Publicado: (1998)

Allosteric Regulation at the Crossroads of New Technologies: Multiscale Modeling, Networks, and Machine Learning
por: Verkhivker, Gennady M., et al.
Publicado: (2020)

The shift to 6G communications: vision and requirements
por: Akhtar, Muhammad Waseem, et al.
Publicado: (2020)

Machine Learning for Smart Environments in B5G Networks: Connectivity and QoS
por: Alsamhi, Saeed H., et al.
Publicado: (2021)

Information and communication technology in learning development and rehabilitation
por: Tormos, José Mª, et al.
Publicado: (2009)

A Review of Machine Learning Approaches in Assisted Reproductive Technologies
por: Raef, Behnaz, et al.
Publicado: (2019)

Emerging Paradigms in Machine Learning
por: Ramanna, Sheela, et al.
Publicado: (2013)

Cannot write session to /tmp/vufind_sessions/sess_h61fvhhfvkfkjntdd1doag92vn