10 citations · 25 across the 23 of their papers we have counts for
8 papers · 1 filter
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…
Phase Optimization and Relay Selection for Joint Relay and IRS-Assisted Communication
Uyoata E. Uyoata, Mobayode O. Akinsolu, Enoruwa Obayiuwana +2
The use of Intelligent Reflecting Surfaces (IRSs) is considered a potential enabling technology for enhancing the spectral and energy efficiency of beyond 5G communication systems.…
Federated Multi-Agent DRL for Radio Resource Management in Industrial 6G in-X subnetworks
Bjarke Madsen, Ramoni Adeogun
Recently, 6G in-X subnetworks have been proposed as low-power short-range radio cells to support localized extreme wireless connectivity inside entities such as industrial robots,…
Control-Aware Transmit Power Allocation for 6G In-Factory Subnetwork Control Systems
Daniel Abode, Pedro Maia de Sant Ana, Alexander Artemenko +2
In this paper, we develop a novel power control solution for subnetworks-enabled distributed control systems in factory settings. We propose a channel-independent control-aware (CI…
Energy-Efficient Federated Learning in Cooperative Communication within Factory Subnetworks
Hamid Reza Hashempour, Gilberto Berardinelli, Shashi Raj Pandey +1
This paper investigates energy-efficient transmission protocols in relay-assisted federated learning (FL) setup within industrial subnetworks, considering latency and power constra…
Comparative Analysis of Sub-band Allocation Algorithms in In-body Sub-networks Supporting XR Applications
Saeed Bagherinejad, Thomas Jacobsen, Nuno K. Pratas +1
In-body subnetworks (IBS) are envisioned to support reliable wireless connectivity for emerging applications including extended reality (XR) in the human body. As the deployment of…
Unsupervised Graph-based Learning Method for Sub-band Allocation in 6G Subnetworks
Daniel Abode, Ramoni Adeogun, Lou Salaün +3
In this paper, we present an unsupervised approach for frequency sub-band allocation in wireless networks using graph-based learning. We consider a dense deployment of subnetworks…