7 citations · 7 across the 7 of their papers we have counts for
4 papers · 1 filter
Beam Scheduling for Cross-Layer ISAC: A Deep Reinforcement Learning Approach
Xiyu Wang, Gilberto Berardinelli, Hei Victor Cheng +2
Resource allocation in integrated sensing and communication (ISAC) systems needs to be optimized to balance the requirements of the communication and sensing modules considering co…
AI-Assisted NLOS Sensing for RIS-Based Indoor Localization in Smart Factories
Taofeek A. O. Yusuf, Sigurd S. Petersen, Puchu Li +6
In the era of Industry 4.0, precise indoor localization is vital for automation and efficiency in smart factories. Reconfigurable Intelligent Surfaces (RIS) are emerging as key ena…
Multi-User Beamforming with Deep Reinforcement Learning in Sensing-Aided Communication
Xiyu Wang, Gilberto Berardinelli, Hei Victor Cheng +2
Mobile users are prone to experience beam failure due to beam drifting in millimeter wave (mmWave) communications. Sensing can help alleviate beam drifting with timely beam changes…
Power Efficient Cooperative Communication within IIoT Subnetworks: Relay or RIS?
Hamid Reza Hashempour, Gilberto Berardinelli, Ramoni Adeogun +1
The forthcoming sixth-generation (6G) industrial Internet-of-Things (IIoT) subnetworks are expected to support ultra-fast control communication cycles for numerous IoT devices. How…