Year: 2023
Type: article
Abstract: Since the start of 5G work in 3GPP in early 2016, tremendous progress has been made in both standardization and commercial deployments. 3GPP is now entering the second phase of 5G standardization, known as5G-Advanced, built on the 5G baseline in 3GPP Releases 15, 16, and 17. 3GPP Release 18, the start of 5G-Advanced, includes a diverse set of features that cover both device and network evolutions, providing balanced mobile broadband evolution and further vertical domain expansion and accommodating both immediate and long-term commercial needs. 5G-Advanced will significantly expand 5G capabilities, address many new use cases, transform connectivity experiences, and serve as an essential step in developing mobile communications towards 6G. This paper provides a comprehensive overview of the 3GPP 5G-Advanced development, introducing the prominent state-of-the-art technologies investigated in 3GPP and identifying key evolution directions for future research and standardization.
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
Funders: National Science Foundation, Qatar Foundation, European Commission, National Natural Science Foundation of China, Fonds National de la Recherche Luxembourg, Qatar National Research Fund, HORIZON EUROPE Framework Programme, Fundamental Research Funds for the Central Universities, Division of Electrical, Communications and Cyber Systems
Awards: G1222789992, RINGS: Learning-Enabled Ground and Air Integrated Networks (GAINs), Collaborative Research: MLWiNS: Deep Neural Networks Meet Physical LayerCommunications -- Learning with Knowledge of Structure, PRogrammable AI-Enabled DeterminIstiC neTworking for 6G, G395268284, Silene floral and deterrent signals, G5663094848, G6899190924, Collaborative Research: SWIFT: Intelligent Dynamic Spectrum Access (IDEA): An Efficient Learning Approach to Enhancing Spectrum Utilization and Coexistence, RTML: Small: Achieving Real-Time and Energy-efficient Computing for 5G Networks (ARTEN): A Deep Reservoir Computing Approach
OpenAlex ID: W4381331133