Interference-aware resource scheduling in LTE HetNets with carrier aggregation support. - Zana Limani; Carla-Fabiana Chiasserini; Gian Michele Dell'Aera (ICC, 2015)

Downlink transmit power setting in LTE HetNets with carrier aggregation. - Zana Limani Fazliu; Carla-Fabiana Chiasserini; Gian Michele Dell'Aera (WoWMoM, 2016)

Flexible dynamic coordinated scheduling in virtual-RAN deployments. - Niccolo Iardella; Giovanni Nardini; Giovanni Stea; Antonio Virdis; Antonio Frangioni; Laura Galli; Dario Sabella; Francesco Mauro; Gian Michele Dell'Aera; Marco Caretti (ICC Workshops, 2017)

Distributed Downlink Power Control for Dense Networks With Carrier Aggregation. - Zana Limani Fazliu; Carla-Fabiana Chiasserini; Gian Michele Dell'Aera; Enver Hamiti (IEEE Trans. Wirel. Commun., 2017)

Practical feasibility, scalability and effectiveness of coordinated scheduling algorithms in cellular networks towards 5G. - Giovanni Nardini; Giovanni Stea; Antonio Virdis; Antonio Frangioni; Laura Galli; Dario Sabella; Gian Michele Dell'Aera (J. Netw. Comput. Appl., 2018)

A Flexible 4G/5G Control Platform for Fingerprint-based Indoor Localization. - Michele Gucciardo; Ilenia Tinnirello; Gian Michele Dell'Aera; Marco Caretti (INFOCOM Workshops, 2019)

An Edge-powered Approach to Assisted Driving. - Francesco Malandrino; Carla-Fabiana Chiasserini; Gian Michele Dell'Aera (GLOBECOM, 2020)

xApp for Traffic Steering and Load Balancing in the O-RAN Architecture. - Rawlings Ntassah; Gian Michele Dell'Aera; Fabrizio Granelli (ICC, 2023)

Edge-Powered Assisted Driving For Connected Cars. - Francesco Malandrino; Carla-Fabiana Chiasserini; Gian Michele Dell'Aera (IEEE Trans. Mob. Comput., 2023)

User Classification and Traffic Steering in O-RAN. - Rawlings Ntassah; Gian Michele Dell'Aera; Fabrizio Granelli (IEEE Open J. Commun. Soc., 2024)

Interference-Aware PMI Selection for MIMO Systems in an O-RAN Scenario. - Rawlings Ntassah; Gian Michele Dell'Aera; Fabrizio Granelli (NetSoft, 2025)

PPO-EPO: Energy and Performance Optimization for O-RAN Using Reinforcement Learning. - Rawlings Ntassah; Gian Michele Dell'Aera; Fabrizio Granelli (CoRR, 2025)