Beyond the massive MIMO: the data transsmission through intelligent surfaces

• Grant number: 18/19538-4
• Support Opportunities: Scholarships abroad - Research Internship - Doctorate
• Start date: June 28, 2019
• End date: June 09, 2020
• Field of knowledge: Engineering - Electrical Engineering - Telecommunications
• Principal Investigator: Gustavo Fraidenraich
• Grantee: Michelle Soares Pereira Facina
• Supervisor: Merouane Debbah
• Host Institution: Faculdade de Engenharia Elétrica e de Computação (FEEC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
• Institution abroad: École Supérieure d'Électricité, France
• Associated to the scholarship: 16/16181-2 - Multiple-Input Multiple-Output (MIMO) wireless communication systems with high number of antennas, BP.DR

Abstract

It is known that wireless multiple-input multiple-output (MIMO) communication because it refers to the idea of equipping base stations with a very large number of antennas potentially offers improvements in order of magnitude in spectral efficiency and through simple linear processing. However, it is worth highlighting the great impact of infrastructure that this technology can cause.Large intelligent surfaces, or large intelligent surfaces (LIS), can be seen as a more natural evolution of the same concept, but taken to a more extreme point. Because it is a surface with radiant and sensory elements, these surfaces resemble wall papers that are electromagnetically active with built-in processing power.The present project has the central theme of study and investigation to address recent theoretical aspects, proposing metrics to model LIS systems and evaluate their performance. At first, a comprehensive view of the state of the art of this technology is provided,including the advantages of its use. Subsequently, issues are dealt with superficially related to the analysis of its capacity. To be treated of a recent area and with little study published, several lines of research can be followed covering all communication in order to optimize the overall system.This project is part of a Unicamp partnership, Centrale Supelec (Paris, France), which has been made in the last year and with results already established.The work team is made up of Unicamp professors: Gustavo Fraidenraich, José Cândido S. Santos Filho, Michel Daoud Yacoub and Paulo Cardieri and also by the team of Prof. Merouane Debbah and France's Large Networks and Systems Group (LANEAS). (AU)

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)

FERREIRA, RICARDO COELHO; FACINA, MICHELLE S. P.; DE FIGUEIREDO, FELIPE A. P.; FRAIDENRAICH, GUSTAVO; DE LIMA, EDUARDO RODRIGUES. Bit Error Probability for Large Intelligent Surfaces Under Double-Nakagami Fading Channels. IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY, v. 1, p. 750-759, 2020. (18/19538-4)