4 papers
Multi-Agent Reinforcement Learning Counteracts Delayed CSI in Multi-Satellite Systems
Marios Aristodemou, Yasaman Omid, Sangarapillai Lambotharan +2
The integration of satellite communication networks with next-generation (NG) technologies is a promising approach towards global connectivity. However, the quality of services is…
Semantic Communications for Vehicle-Based Mission-Critical Services: Challenges and Solutions
Hui Zhou, Jiaying Guo, Marios Aristodemou +5
As mission-critical (MC) services such as Unmanned Aerial Vehicles (UAVs) based emergency communication and Internet of Vehicles (IoVs) enabled autonomous driving emerge, the tradi…
Reinforcement Learning-Based Downlink Transmit Precoding for Mitigating the Impact of Delayed CSI in Satellite Systems
Yasaman Omid, Marios Aristodemou, Sangarapillai Lambotharan +2
The integration of low earth orbit (LEO) satellites with terrestrial communication networks holds the promise of seamless global connectivity. The efficiency of this connection, ho…
Maximizing Uncertainty for Federated learning via Bayesian Optimisation-based Model Poisoning
Marios Aristodemou, Xiaolan Liu, Yuan Wang +3
As we transition from Narrow Artificial Intelligence towards Artificial Super Intelligence, users are increasingly concerned about their privacy and the trustworthiness of machine…