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6G Research Center
GGRC
General information
LocationKhalifa University
CountryUnited Arab Emirates (UAE)
Website
https://www.ku.ac.ae/6grc


Brief Summary of the 6GRC....

Director of the center[edit]

Please fill this field

About 6GRC[edit]

  • 6GRC aims to be a global hub for 6G and beyond research, focusing on advanced technology research and innovation.
  • Research areas include native AI, connectivity, and sensing and positioning, with a strong emphasis on collaboration with industrial partners.
  • 6GRC seeks to strengthen KU's role in education, fostering knowledge transfer and training the next generation of ICT leaders.
  • The center aims to have a societal impact, contributing to the development of a knowledge - based economy.
  • Key missions include research innovation, academic -industrial collaboration, education, and dissemination of research findings through various channels.

6GRC: Scientific Advisory Board[edit]

6GRC Management[edit]

6GRC Themes[edit]

Theme 1: Broadband Connectivity[edit]

Theme Leader: Zhiguo Ding

Members: Sami Muhaidat Shihab Jimaa Ahmed Altunaiji[edit]

Theme 2: Localization &Sensing[edit]

Theme Leader: Arafat AlDweik

Members: Sami Muhaidat, Jamal Bentahar, Braham Barkat

Theme 3: Native AI[edit]

Theme Leader: Merouane Debbah

Members: Omar Alhussein Samson, Lasaulce Azzam, Mourad Jamal Bentahar

6GRC: Thematic Areas[edit]

Native Artificial Intelligence (AI)[edit]

Utilizing Al to improve the automation, autonomy, and efficiency of networks, while redesigning them to accommodate the growing number of Al applications, thereby achieving connected intelligence instead of merely connected networks.

Broadband Connectivity[edit]

To implement broadband connectivity, we will create a unified framework for 6G networks, which will address several fundamental challenges: massive multiple access, energy -efficiency, high -speed data, and very low latency.

Localization and Sensing[edit]

To develop technologies which allow precise positioning, highly accurate and adaptive sensing, advanced sensor fusion techniques, ultra - responsive networks that adapt rapidly to sensory input and localization data.