Paper "Blockchain-based Route Selection with Allocation of Radio and Computing Resources for Connected Autonomous V… https://t.co/opNGmhVAn3
Paper "Blockchain-based Route Selection with Allocation of Radio and Computing Resources for Connected Autonomous V… https://t.co/opNGmhVAn3
Paper "Energy Consumption Optimization for UAV Base Stations with Wind Compensation" introducing energy consumption… https://t.co/IXniusfBQS
Two open positions for #PhD students in Intelligent Mobility Management for #6G. #6G #mobility #MachineLearning… https://t.co/qLmpHTGNvi
Paper "Channel Reuse for Backhaul in UAV Mobile Networks with User QoS Guarantee" accepted for publication at… https://t.co/hLojj2RZrJ
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.