Research Grants 23/00579-0 - Aplicações das telecomunicações, Rede de comunicação - BV FAPESP
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6th generation wireless communication networks: new concepts, algorithms and applications

Abstract

This project proposes the development of new concepts, algorithms and applications for internet access through 6G wireless communication networks and the Open RAN concept based on the experience and skills of the executing team. The research activities proposed in this project include the investigation of new signal processing techniques in the transmission and reception of access points connected to centralized and decentralized clouds, novel network architectures, multiple-antenna systems, channel coding using semantic concepts, multiple access techniques, new resource allocation approaches, and distributed and federative computing algorithms, machine learning and artificial intelligence. In addition, the project also foresees the integration of the proposed techniques with a view to Open RAN solutions and the construction of sophisticated link-level simulators for evaluating ideas and a prototype based on IoT devices and Arduino kits to verify the operation of techniques and selected applications. (AU)

Articles published in Agência FAPESP Newsletter about the research grant:
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Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
SUTCLIFFE DE MORAES, NAOMI J.; NASCIMENTO, VITOR H.; VIDAL, DANIEL C.; PRETE, CARLOS A., JR.; ZAKHAROV, YURIY, V. A faster RLS-DCD adaptive filtering algorithm. 2024 19TH INTERNATIONAL SYMPOSIUM ON WIRELESS COMMUNICATION SYSTEMS, ISWCS 2024, v. N/A, p. 5-pg., . (23/00579-0)
FEITOSA, ALLAN E.; NASCIMENTO, VITOR H.; LOPES, CASSIO G.. Favor the Tortoise Over the Hare: An Efficient Detection Algorithm for Cooperative Networks. IEEE TRANSACTIONS ON SIGNAL PROCESSING, v. 72, p. 18-pg., . (18/26040-2, 23/00579-0)
VIDAL, DANIEL C.; NASCIMENTO, VITOR H.. Low-complexity and model-free parameter tracking algorithms. FIFTY-SEVENTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, IEEECONF, v. N/A, p. 5-pg., . (23/00579-0)