Ramoni Adeogun
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View article: Attention-Aided Channel Prediction for Efficient Resource Management in Industrial IoT Subnetworks
Attention-Aided Channel Prediction for Efficient Resource Management in Industrial IoT Subnetworks Open
channel state information (CSI) is critical for optimizing wireless communication systems, particularly in Industrial Internet of Things (IIoT) networks where real-time performance and reliability are paramount. In high-density 6G-enabled …
View article: Resilient DNN for joint sub-band allocation and power control in mobile factory subnetworks
Resilient DNN for joint sub-band allocation and power control in mobile factory subnetworks Open
In industrial wireless communication environments, the complexity and rapid dynamics of mobile factory subnetworks pose substantial challenges for radio resource management. This paper presents a resilient multi-task deep neural network so…
View article: Robust Resource Management for Mission-Critical in-Factory Subnetworks Under External Interference
Robust Resource Management for Mission-Critical in-Factory Subnetworks Under External Interference Open
The concept of subnetworks has been recently identified as a key component of 6G, enabling mission-critical services with hyper-reliability. In this paper, we address the challenges posed by both inter-subnetwork interference and external …
View article: Delta MCS-based Enriched Hybrid ARQ Feedback Design for 6G Networks
Delta MCS-based Enriched Hybrid ARQ Feedback Design for 6G Networks Open
Conventional hybrid automatic repeat request (HARQ) uses single-bit feedback to boost retransmission reliability; however, its limited granularity restricts advanced link adaptation (LA) for optimizing performance beyond reliability. This …
View article: Goal-Oriented Interference Coordination in 6G In-Factory Subnetworks
Goal-Oriented Interference Coordination in 6G In-Factory Subnetworks Open
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 density. This paper proposes a goal-oriented joint power a…
View article: Multi-User Beamforming with Deep Reinforcement Learning in Sensing-Aided Communication
Multi-User Beamforming with Deep Reinforcement Learning in Sensing-Aided Communication Open
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 and low overhead since it does not need user feedback. Thi…
View article: Learning Power Control Protocol for In-Factory 6G Subnetworks
Learning Power Control Protocol for In-Factory 6G Subnetworks Open
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 is critical to mitigating the impact of interference result…
View article: DRL-Based Distributed Joint Sub-Band Allocation and Power Control for eXtended Reality Over In-Body Subnetworks
DRL-Based Distributed Joint Sub-Band Allocation and Power Control for eXtended Reality Over In-Body Subnetworks Open
In-body Subnetworks (IBS) are set to become key enablers for standalone eXtended Reality (XR) applications, allowing users to leverage smartphones and XR display devices (XRDD) to create immersive virtual and augmented environments. Howeve…
View article: Goal-Oriented Interference Coordination in 6G In-Factory Subnetworks
Goal-Oriented Interference Coordination in 6G In-Factory Subnetworks Open
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 density. This paper proposes a goal-oriented joint power a…
View article: Toward Intelligent Fading Channel Prediction: A Comprehensive Survey
Toward Intelligent Fading Channel Prediction: A Comprehensive Survey Open
Accurate knowledge of future time-varying channel state is a key enabler for adaptive transmission in current and future generation wireless networks. In this paper, we present a structured and comprehensive survey of advances in fading pr…
View article: Auxiliary Particle Filtering With Multitudinous Lookahead Sampling for Accurate Target Tracking
Auxiliary Particle Filtering With Multitudinous Lookahead Sampling for Accurate Target Tracking Open
The auxiliary particle filter, which is the popular extension of the standard bootstrap particle filter, is known to assist in drawing particles from regions of high probability mass of the posterior density by leveraging the incoming meas…
View article: Enhancing Multi-Connected XR Device Performance With Soft Combining and Joint HARQ Processing in Cooperative Multicast
Enhancing Multi-Connected XR Device Performance With Soft Combining and Joint HARQ Processing in Cooperative Multicast Open
In this work, we investigate multi-connectivity for Extended Reality (XR) devices, which have stringent requirements in terms of delay, data rate and reliability. This approach employs one direct connection and one indirect connection via …
View article: Enriched HARQ Feedback for Link Adaptation in 6G: Optimizing Uplink Overhead for Enhanced Downlink Spectral Efficiency
Enriched HARQ Feedback for Link Adaptation in 6G: Optimizing Uplink Overhead for Enhanced Downlink Spectral Efficiency Open
Conventional hybrid automatic repeat request (HARQ) feedback uses a single-bit acknowledgment, ensuring reliability but lacking the detail required for effective link adaptation (LA) during retransmissions. To address this, we introduce an…
View article: Power-Efficient Cooperative Communication Within IIoT Subnetworks: Relay or RIS?
Power-Efficient Cooperative Communication Within IIoT Subnetworks: Relay or RIS? Open
The forthcoming sixth-generation (6G) Industrial Internet of Things (IIoT) subnetworks are expected to support ultrafast control communication cycles for numerous IoT devices. However, meeting the stringent requirements for low latency and…
View article: Communication-Aware Dynamic Speed Control for Interference Mitigation in 6G Mobile Subnetworks
Communication-Aware Dynamic Speed Control for Interference Mitigation in 6G Mobile Subnetworks Open
6G subnetworks may be installed in mobile entities such as robots navigating the factory floor in proximity. The potential high density of the subnetworks may result in interference limitation. Conventional interference mitigation approach…
View article: Power Efficient Cooperative Communication within IIoT Subnetworks: Relay or RIS?
Power Efficient Cooperative Communication within IIoT Subnetworks: Relay or RIS? Open
The forthcoming sixth-generation (6G) industrial Internet-of-Things (IIoT) subnetworks are expected to support ultra-fast control communication cycles for numerous IoT devices. However, meeting the stringent requirements for low latency an…
View article: Comparative Evaluation of Model Based Deep Learning Receivers in Coded MIMO Systems
Comparative Evaluation of Model Based Deep Learning Receivers in Coded MIMO Systems Open
Deep learning (DL) methods have shown potential in tackling the performance-complexity trade-off in multiple-input multiple-output (MIMO) detection. Unlike most studies that evaluate state-of-the-art (SoA) DL receivers in uncoded scenarios…
View article: Phase Optimization and Relay Selection for Joint Relay and IRS-Assisted Communication
Phase Optimization and Relay Selection for Joint Relay and IRS-Assisted Communication Open
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. In this paper, a joint relay and intelligent reflecting su…
View article: Deep-Unfolded Iterative Soft-Input Soft-Output SIC Receiver for Coded MIMO Systems
Deep-Unfolded Iterative Soft-Input Soft-Output SIC Receiver for Coded MIMO Systems Open
This article proposes a novel deep learning (DL)-based enhancement of iterative detection and decoding technique in multiple-input multiple-output (MIMO) wireless systems. The receiver integrates a classical soft-input soft-output (SISO) m…
View article: Cooperative Multicast for Multi-Connected XR Devices with Joint HARQ Processing
Cooperative Multicast for Multi-Connected XR Devices with Joint HARQ Processing Open
In this paper, we investigate the multi-connectivityfor Extended Reality (XR) devices, having both a direct linkand an indirect link to the same Next-Generation Node B(gNodeB). The indirect link is established through a cooperating5th gene…
View article: Federated Multi-Agent DRL for Radio Resource Management in Industrial 6G in-X subnetworks
Federated Multi-Agent DRL for Radio Resource Management in Industrial 6G in-X subnetworks Open
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, vehicles, and the human body. Deployment of in-X subnetwork…
View article: On Transfer Learning for a Fully Convolutional Deep Neural SIMO Receiver
On Transfer Learning for a Fully Convolutional Deep Neural SIMO Receiver Open
Deep learning has been used to tackle problems in wireless communication including signal detection, channel estimation, traffic prediction, and demapping. Achieving reasonable results with deep learning typically requires large datasets w…
View article: Phase Optimization and Relay Selection for Joint Relay and IRS-Assisted Communication
Phase Optimization and Relay Selection for Joint Relay and IRS-Assisted Communication Open
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. In this paper, a joint relay and intelligent reflecting su…
View article: Federated Multi-Agent DRL for Radio Resource Management in Industrial 6G in-X subnetworks
Federated Multi-Agent DRL for Radio Resource Management in Industrial 6G in-X subnetworks Open
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, vehicles, and the human body. Deployment of in-X subnetwork…
View article: Rate-conforming Sub-band Allocation for In-factory Subnetworks: A Deep Neural Network Approach
Rate-conforming Sub-band Allocation for In-factory Subnetworks: A Deep Neural Network Approach Open
Author Accepted Manuscript of the paper published in the proceedings of the 2024 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit). The final published version is available at https://doi.org/10.1109/Eu…
View article: A Power Efficient Cooperative Communication Protocol for 6G in-Factory Subnetworks
A Power Efficient Cooperative Communication Protocol for 6G in-Factory Subnetworks Open
Industrial sixth generation (6G) wireless subnetworks are expected to support very short control communication cycles for multiple sensors. The achievement of demanding communication requirements in terms of latency and reliability might b…
View article: Control-Aware Transmit Power Allocation for 6G In-Factory Subnetwork Control Systems
Control-Aware Transmit Power Allocation for 6G In-Factory Subnetwork Control Systems Open
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 (CICA) policy based on the logistic model and learn the parame…
View article: Energy-Efficient Federated Learning in Cooperative Communication within Factory Subnetworks
Energy-Efficient Federated Learning in Cooperative Communication within Factory Subnetworks Open
This paper investigates energy-efficient transmission protocols in relay-assisted federated learning (FL) setup within industrial subnetworks, considering latency and power constraints. In the subnetworks, devices collaborate to train a gl…
View article: Comparative Analysis of Sub-Band Allocation Algorithms in In-Body Sub-Networks Supporting XR Applications
Comparative Analysis of Sub-Band Allocation Algorithms in In-Body Sub-Networks Supporting XR Applications Open
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 in-body sub-networks is uncontrollable by nature, the dyna…
View article: Comparative Analysis of Sub-band Allocation Algorithms in In-body Sub-networks Supporting XR Applications
Comparative Analysis of Sub-band Allocation Algorithms in In-body Sub-networks Supporting XR Applications Open
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 in-body sub-networks is uncontrollable by nature, the dyna…