activity
20142026
most citedJoint Modeling of Received Power, Mean Delay, and Delay Spread for Wideband Radio Channels

10 citations · 25 across the 23 of their papers we have counts for

collaborators

26 papers

eess.SP2026

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…

eess.SP2026

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…

eess.SP2026

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…

eess.SP2026

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…

eess.SP2025

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…

cs.LG2025

Learning Power Control Protocol for In-Factory 6G Subnetworks

Uyoata E. Uyoata, Gilberto Berardinelli, Ramoni Adeogun

In-X Subnetworks are envisioned to meet the stringent demands of short-range communication in diverse 6G use cases. In the context of In-Factory scenarios, effective power control…

eess.SP2025

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…

eess.SY2025

Goal-Oriented Interference Coordination in 6G In-Factory Subnetworks

Daniel Abode, Pedro Maia de Sant Ana, Ramoni Adeogun +2

Subnetworks are expected to enhance wireless pervasiveness for critical applications such as wireless control of plants, however, they are interference-limited due to their extreme…

eess.SP2024★ 7 cited

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…

eess.SP2024

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…

eess.SP2024

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.…

eess.SP2024

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,…

eess.SY2024

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…

eess.SP2024

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…

cs.IT2024

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…

cs.NI2024

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…

eess.SP2023

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.…

cs.LG2023

Unsupervised Deep Unfolded PGD for Transmit Power Allocation in Wireless Systems

Ramoni Adeogun

Transmit power control (TPC) is a key mechanism for managing interference, energy utilization, and connectivity in wireless systems. In this paper, we propose a simple low-complexi…

eess.SP2023★ 1 cited

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…

eess.SP2022

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…

eess.SP2021

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…

eess.SP2020★ 10 cited

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…

cs.IT2014★ 2 cited

A Robust MUSIC Based Scheme for Interference Location in Satellite Systems with Multibeam Antennas

Ramoni Adeogun

In this paper, we investigate methods for interference location in satellite communication system using satellite multi-beam antenna with subspace based schemes. A novel MUSIC base…

cs.IT2014

Capacity and Error Rate Analysis of MIMO Satellite Communication Systems in Fading Scenarios

Ramoni Adeogun

In this paper, we investigated the capacity and bit error rate (BER) performance of Multiple Input Multiple Output (MIMO) satellite systems with single and multiple dual polarized…