Paper "PADSA: Priority-Aware Block Data Storage Architecture for Edge Cloud Serving Autonomous Vehicles" acepted fo… https://t.co/x57E1vTgLr
Paper "Dynamic Adjustment of Scheduling Period in Mobile Networks based on C-RAN" accepted for presentation at… https://t.co/dpfZQxspHL
Paper "Optimal Positioning of Flying Base Stations and Transmission Power Allocation in NOMA Networks" accepted fo… https://t.co/iTONYgaPb5
The aim of 6Gm is to propose new approaches and provide innovative solutions towards future 5G+ and 6G mobile networks. The 6Gm is oriented on topics related to mobility and radio resource management. This includes design of conventional as well as machine learning and artificial intelligence-based control and management algorithms for handover, power control, interference management, load balancing, self-optimization of radio access, cognitive radio, and energy efficient communications. The 6Gm also addresses network architecture issues including MEC, C-RAN and flexible radio access networks. From perspective of 5G+, 6G scenarios, our research is oriented towards scenarios encompassing device-to-device communications, flying base stations (drones, UAVs), IoT, vehicular communications, and intelligent transportation systems.