Multiple-Input Multiple-Output (MIMO) wireless communication systems with high number of antennas

• Grant number: 16/16181-2
• Support Opportunities: Scholarships in Brazil - Doctorate
• Start date: December 01, 2016
• End date: November 12, 2020
• Field of knowledge: Engineering - Electrical Engineering - Telecommunications
• Principal Investigator: Gustavo Fraidenraich
• Grantee: Michelle Soares Pereira Facina
• Host Institution: Faculdade de Engenharia Elétrica e de Computação (FEEC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
• Associated scholarship(s): 18/19538-4 - Beyond the massive MIMO: the data transsmission through intelligent surfaces, BE.EP.DR

Abstract

Massive multiple-input multiple-output (MIMO) represents a break with the current practice through the use of several antennas both at the transmitter and receiver operated in a consistent manner and, above all, adaptable, which means a fundamental change in the design of fifth generation (5G) of the cellular networks.Some benefits of this technology include the extensive use of components with low power consumption, low latency and robustness to interference. However, the expected income depends mainly of the environmental characteristics of propagation. Despite being a strong candidate to meet the growing demand, some problems make this technologychallenging.This project is focused on study and research to address unresolved issues related to massive MIMO. At first, it provides a comprehensive overview of the state of art of the technology, including the advantages of its use. They are then addressed superficially issues still to be defined related to its implementation.Despite the large number of open problems in massive MIMO area, we will focus on those related to system capacity, impact of real propagation conditions on the transmission rate, not perfect knowledge of the channel and its implications. Because it is a recent area under intense study, we will focus on various techniques that can be employed at all stages of the data communication in order to optimize the overall system.This project is part of a partnership Unicamp, Oulu University (Finland) and RiceUniversity (USA), which has been made for over four years with results already established.The team is formed by professors from Unicamp: Gustavo Fraidenraich, JoséCândido S. Santos Filho, Michel Daoud Yacoub and Paulo Cardieri and also by Prof. Matti Latva-aho (Finland) and Behnaam Aazhang (USA).

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)

FACINA, MICHELLE S. P.; FRAIDENRAICH, GUSTAVO. Accurate log-normal approximation to the signal-to-interference ratio in massive multiple-input multiple-output systems. INTERNET TECHNOLOGY LETTERS, v. 1, n. 4, JUL-AUG 2018. (16/16181-2)

DE FIGUEIREDO, FELIPE A. P.; FACINA, MICHELLE S. P.; FERREIRA, RICARDO COELHO; AI, YUN; RUBY, RUKHSANA; PHAM, QUOC-VIET; FRAIDENRAICH, GUSTAVO. Large Intelligent Surfaces With Discrete Set of Phase-Shifts Communicating Through Double-Rayleigh Fading Channels. IEEE ACCESS, v. 9, p. 20768-20787, 2021. (16/16181-2)

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

FACINA, Michelle Soares Pereira. De 5G a 6G: transmissão de dados através de MIMO massivo e superfícies inteligentes. 2020. Doctoral Thesis - Universidade Estadual de Campinas (UNICAMP). Faculdade de Engenharia Elétrica e de Computação Campinas, SP.