Resource allocation and signalling in 6G networks

• Grant number: 24/17957-0
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• Start date: January 01, 2025
• End date: December 31, 2026
• Field of knowledge: Engineering - Electrical Engineering - Telecommunications
• Principal Investigator: Rodrigo Caiado de Lamare
• Grantee: Ahmed Marai Ahmed
• Host Institution: Centro Técnico Científico (CTC). Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio)
• Associated research grant: 23/00579-0 - 6th generation wireless communication networks: new concepts, algorithms and applications, AP.TEM

Abstract

6G communications networks will have challenging requirements in terms of power allocation. Resources such as powers, frequency bands, users, channels, access points and repeaters, and key parameter signaling used in coordinating network architecture elements such as devices, cells, and clouds. In this context, clouds (CRANs and FRANs) have the potential to mitigate interference between access points, through an allocation of resources coordinated between devices and access points. Furthermore, the vast majority of existing resource allocation algorithms do simplifying assumptions regarding the temporal variability of the network and knowledge of channel information at the transmitter end: static networks and perfect channel information or stochastic networks and perfect channel distribution information. However, in the future for IoT and 6G networks these assumptions may not necessarily be met, due to the density networks, their heterogeneity, device mobility and connectivity patterns, which could lead to an unpredictable and non-stationary scenario. New tools needed that go beyond classical and stochastic optimization and game theory to solve such problems.