7 citations · 7 across the 3 of their papers we have counts for
6 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…
Rank-Aware Link Adaptation for XR Tethering Groups with Realistic Tethering Link: A Multi-Offset OLLA Framework
Muhammad Ahsen, Boyan Yanakiev, Claudio Rosa +1
We investigate higher-rank transmissions for multi-connected Extended Reality (XR) devices enabled through tethering group (TGr), in which a nearby tethering User Equipment (UE) co…
XR Capacity Enhancement through Multi-Connected XR Tethering Groups
Muhammad Ahsen, Boyan Yanakiev, Claudio Rosa +1
Extended Reality (XR) applications have limited capacity in 5th generation-advanced (5G-A) cellular networks due to high throughput requirements coupled with strict latency and hig…
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…
On Transfer Learning for a Fully Convolutional Deep Neural SIMO Receiver
Uyoata E. Uyoata, Ramoni O. Adeogun
Deep learning has been used to tackle problems in wireless communication including signal detection, channel estimation, traffic prediction, and demapping. Achieving reasonable res…