Geoffrey Eappen
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View article: Neuromorphic Models for Energy-Efficient Onboard Interference Detection in Satellite Systems
Neuromorphic Models for Energy-Efficient Onboard Interference Detection in Satellite Systems Open
peer reviewed
View article: GLUSE: Enhanced Channel-Wise Adaptive Gated Linear Units SE for Onboard Satellite Earth Observation Image Classification
GLUSE: Enhanced Channel-Wise Adaptive Gated Linear Units SE for Onboard Satellite Earth Observation Image Classification Open
This study introduces ResNet-GLUSE, a lightweight ResNet variant enhanced with Gated Linear Unit-enhanced Squeeze-and-Excitation (GLUSE), an adaptive channel-wise attention mechanism. By integrating dynamic gating into the traditional SE f…
View article: A Semantic-Loss Function Modeling Framework With Task-Oriented Machine Learning Perspectives
A Semantic-Loss Function Modeling Framework With Task-Oriented Machine Learning Perspectives Open
The integration of machine learning (ML) has significantly enhanced the capabilities of Earth Observation (EO) systems by enabling the extraction of actionable insights from complex datasets. However, the performance of data-driven EO appl…
View article: Migration and mutation (MeTa) hybrid trained ANN for dynamic spectrum access in wireless body area network
Migration and mutation (MeTa) hybrid trained ANN for dynamic spectrum access in wireless body area network Open
Conventional radio transmission for wireless patient monitoring systems (WPMS) experiences spectrum overcrowding and congestion. To address this issue, dynamic spectrum access systems are needed. Cognitive radio (CR) networks have emerged …
View article: Artificial Intelligence for Satellite Communication: A Survey
Artificial Intelligence for Satellite Communication: A Survey Open
peer reviewed
View article: Swarm Intelligence aided PTS-Based Framework for PAPR Reduction in Satellite Communication System
Swarm Intelligence aided PTS-Based Framework for PAPR Reduction in Satellite Communication System Open
peer reviewed
View article: Optimal Linear Precoding Under Realistic Satellite Communications Scenarios
Optimal Linear Precoding Under Realistic Satellite Communications Scenarios Open
peer reviewed
View article: Semantic Knowledge Distillation for Onboard Satellite Earth Observation Image Classification
Semantic Knowledge Distillation for Onboard Satellite Earth Observation Image Classification Open
This study presents an innovative dynamic weighting knowledge distillation (KD) framework tailored for efficient Earth observation (EO) image classification (IC) in resource-constrained settings. Utilizing EfficientViT and MobileViT as tea…
View article: Cognitive Semantic Augmentation LEO Satellite Networks for Earth Observation
Cognitive Semantic Augmentation LEO Satellite Networks for Earth Observation Open
Earth observation (EO) systems are essential for mapping, catastrophe monitoring, and resource management, but they have trouble processing and sending large amounts of EO data efficiently, especially for specialized applications like agri…
View article: On-Air Deep Learning Integrated Semantic Inference Models for Enhanced Earth Observation Satellite Networks
On-Air Deep Learning Integrated Semantic Inference Models for Enhanced Earth Observation Satellite Networks Open
Earth Observation (EO) systems are crucial for cartography, disaster surveillance, and resource administration. Nonetheless, they encounter considerable obstacles in the processing and transmission of extensive data, especially in speciali…
View article: Onboard Satellite Image Classification for Earth Observation: A Comparative Study of ViT Models
Onboard Satellite Image Classification for Earth Observation: A Comparative Study of ViT Models Open
This study focuses on identifying the most effective pre-trained model for land use classification in onboard satellite processing, emphasizing achieving high accuracy, computational efficiency, and robustness against noisy data conditions…
View article: Optimal Linear Precoding Under Realistic Satellite Communications Scenarios
Optimal Linear Precoding Under Realistic Satellite Communications Scenarios Open
In this paper, optimal linear precoding for the multibeam geostationary earth orbit (GEO) satellite with the multi-user (MU) multiple-input-multiple-output (MIMO) downlink scenario is addressed. Multiple-user interference is one of the maj…
View article: User-Centric Beam Selection and Precoding Design for Coordinated Multiple-Satellite Systems
User-Centric Beam Selection and Precoding Design for Coordinated Multiple-Satellite Systems Open
This paper introduces a joint optimization framework for user-centric beam selection and linear precoding (LP) design in a coordinated multiple-satellite (CoMSat) system, employing a Digital-Fourier-Transform-based (DFT) beamforming (BF) t…
View article: Diversity Combining Scheme for Time-Varying STBC NGSO Multi-Satellite Systems
Diversity Combining Scheme for Time-Varying STBC NGSO Multi-Satellite Systems Open
peer reviewed
View article: Performance Evaluation of Neuromorphic Hardware for Onboard Satellite Communication Applications
Performance Evaluation of Neuromorphic Hardware for Onboard Satellite Communication Applications Open
Spiking neural networks (SNNs) implemented on neuromorphic processors (NPs) can enhance the energy efficiency of deployments of artificial intelligence (AI) for specific workloads. As such, NP represents an interesting opportunity for impl…
View article: Energy-Efficient on-Board Radio Resource Management for Satellite Communications via Neuromorphic Computing
Energy-Efficient on-Board Radio Resource Management for Satellite Communications via Neuromorphic Computing Open
The latest Satellite Communication (SatCom) missions are characterized by a fully reconfigurable on-board software-defined payload, capable of adapting radio resources to the temporal and spatial variations of the system traffic. As pure o…
View article: Satellite Swarms for Narrow Beamwidth Applications
Satellite Swarms for Narrow Beamwidth Applications Open
Satellite swarms have recently gained attention in the space industry due to their ability to provide extremely narrow beamwidths at a lower cost than single satellite systems. This paper proposes a concept for a satellite swarm using a di…
View article: Edge AI Empowered Physical Layer Security for 6G NTN: Potential Threats and Future Opportunities
Edge AI Empowered Physical Layer Security for 6G NTN: Potential Threats and Future Opportunities Open
Due to the enormous potential for economic profit offered by artificial intelligence (AI) servers, the field of cybersecurity has the potential to emerge as a prominent arena for competition among corporations and governments on a global s…
View article: Satellite Swarms for Narrow Beamwidth Applications
Satellite Swarms for Narrow Beamwidth Applications Open
peer reviewed
View article: Energy-Efficient On-Board Radio Resource Management for Satellite Communications via Neuromorphic Computing
Energy-Efficient On-Board Radio Resource Management for Satellite Communications via Neuromorphic Computing Open
The latest satellite communication (SatCom) missions are characterized by a fully reconfigurable on-board software-defined payload, capable of adapting radio resources to the temporal and spatial variations of the system traffic. As pure o…
View article: Harnessing the Power of Swarm Satellite Networks with Wideband Distributed Beamforming
Harnessing the Power of Swarm Satellite Networks with Wideband Distributed Beamforming Open
The space communications industry is challenged to develop a technology that can deliver broadband services to user terminals equipped with miniature antennas, such as handheld devices. One potential solution to establish links with ground…
View article: D6.3 3D Measurement results and evaluation of Location Functions
D6.3 3D Measurement results and evaluation of Location Functions Open
This deliverable presents the results of three localisation experiments performed in the 6G BRAINS project. The first hardware realisation experiment aimed to demonstrate RunEL’s capability functionally measuring the location of 5G/6G Mobi…
View article: D6.2 3D Location Simulation Models and Lab Prototypes
D6.2 3D Location Simulation Models and Lab Prototypes Open
In this deliverable, we first present RF-light localization simulation model and OWC localization simulation model with different measurement technologies mentioned in deliverable 6.1. This document describes also the two laboratory testbe…
View article: D4.2 Modelling of Intelligent IAB and Hybrid User Terminal Optimized by the Multi-agent Deep Reinforcement Learning
D4.2 Modelling of Intelligent IAB and Hybrid User Terminal Optimized by the Multi-agent Deep Reinforcement Learning Open
This document updates the progress made in the different research areas related to 6G Access Architecture performed in the 6G BRAINS project. The updated research areas in this document include: Artificial Intelligence (AI) based scheduler…
View article: Joint Linear Precoding and DFT Beamforming Design for Massive MIMO Satellite Communication
Joint Linear Precoding and DFT Beamforming Design for Massive MIMO Satellite Communication Open
This paper jointly designs linear precoding (LP) and codebook-based beamforming implemented in a satellite with massive multiple-input multiple-output (mMIMO) antenna technology. The codebook of beamforming weights is built using the colum…
View article: On the Performance of Cache-Free/Cache-Aided STBC-NOMA in Cognitive Hybrid Satellite-Terrestrial Networks
On the Performance of Cache-Free/Cache-Aided STBC-NOMA in Cognitive Hybrid Satellite-Terrestrial Networks Open
ARMMONY: Ground-based distributed beamforming harmonization for the integration of satellite and terrestrial networks
View article: Deep learning integrated reinforcement learning for adaptive beamforming in B5G networks
Deep learning integrated reinforcement learning for adaptive beamforming in B5G networks Open
In this paper, a deep learning integrated reinforcement learning (DLIRL) algorithm is proposed for comprehending intelligent beamsteering in Beyond Fifth Generation (B5G) networks. The smart base station in B5G networks aims to steer the b…
View article: D6.1 Technical Specification of the 3D Location Architecture
D6.1 Technical Specification of the 3D Location Architecture Open
This document first describes the overall design of localization system architecture. It then describes the mmWave Time of Arrival, Optical Wireless Communications Receive Signal Strength and mmWave Angle of Arrival distance measurement an…