10 citations · 25 across the 23 of their papers we have counts for
16 papers · 1 filter
Learning to Maximize Energy Efficiency in 6G in-X Subnetworks
Ramoni Adeogun
This paper investigates energy-efficient power control in 6G in-X subnetworks. We consider a graph neural network (GNN) framework that captures inter-subnetwork interference and th…
Explanation-Guided Federated Deep Reinforcement Learning for Joint Resource Allocation and Scheduling in 6G in-X Subnetworks
Ramoni Adeogun
Sixth-generation (6G) wireless systems are envisioned as networks of networks, integrating diverse in-X subnetworks that provide localized, high-performance connectivity. Ensuring…
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…
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,…
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…
Proximal Policy Optimization for Integrated Sensing and Communication in mmWave Systems
Cristian J. Vaca-Rubio, Carles Navarro Manchón, Ramoni Adeogun +1
In wireless communication systems, mmWave beam tracking is a critical task that affects both sensing and communications, as it is related to the knowledge of the wireless channel.…
On the required radio resources for ultra-reliable communication in highly interfered scenarios
Gilberto Berardinelli, Ramoni Adeogun
Future wireless systems are expected to support mission-critical services demanding higher and higher reliability. In this letter, we dimension the radio resources needed to achiev…
Power Control for 6G Industrial Wireless Subnetworks: A Graph Neural Network Approach
Daniel Abode, Ramoni Adeogun, Gilberto Berardinelli
6th Generation (6G) industrial wireless subnetworks are expected to replace wired connectivity for control operation in robots and production modules. Interference management techn…
Polarimetric Room Electromagnetics
Troels Pedersen, Ramoni Adeogun
A polarimetric model for the power delay spectrum for inroom communication is proposed. The proposed model describes the gradual depolarization of the signal with delay. The model…
Joint Modeling of Received Power, Mean Delay, and Delay Spread for Wideband Radio Channels
Ayush Bharti, Ramoni Adeogun, Xuesong Cai +4
We propose a multivariate log-normal distribution to jointly model received power, mean delay, and root mean square (rms) delay spread of wideband radio channels, referred to as th…