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Found 27 papers, 0 papers with code
Use of Parallel Explanatory Models to Enhance Transparency of Neural Network Configurations for Cell Degradation Detection
In a previous paper, we have shown that a recurrent neural network (RNN) can be used to detect cellular network radio signal degradations accurately.
Intelligent Mode-switching Framework for Teleoperation
User intention recognition is done at the operator side.
Blockchain-enabled Clustered and Scalable Federated Learning (BCS-FL) Framework in UAV Networks
This improves the decentralization, coordination, scalability, and efficiency of FL in large-scale UAV networks.
Proactive Blockage Prediction for UAV assisted Handover in Future Wireless Network
Nevertheless, line-of-sight (LoS) is often mandatory for mmWave band communication, and it renders these waves sensitive to sudden changes in the environment.
Generative AI-driven Semantic Communication Networks: Architecture, Technologies and Applications
Furthermore, GAI algorithms also play an important role in the management of SemCom networks.
A Wireless AI-Generated Content (AIGC) Provisioning Framework Empowered by Semantic Communication
Generative AI applications are recently catering to a vast user base by creating diverse and high-quality AI-generated content (AIGC).
Knowledge Base Aware Semantic Communication in Vehicular Networks
Semantic communication (SemCom) has recently been considered a promising solution for the inevitable crisis of scarce communication resources.
Enhancing Reliability in Federated mmWave Networks: A Practical and Scalable Solution using Radar-Aided Dynamic Blockage Recognition
This article introduces a new method to improve the dependability of millimeter-wave (mmWave) and terahertz (THz) network services in dynamic outdoor environments.
Reconfigurable Intelligent Surface-Assisted Cross-Layer Authentication for Secure and Efficient Vehicular Communications
Intelligent transportation systems increasingly depend on wireless communication, facilitating real-time vehicular communication.
xURLLC-Aware Service Provisioning in Vehicular Networks: A Semantic Communication Perspective
Semantic communication (SemCom), as an emerging paradigm focusing on meaning delivery, has recently been considered a promising solution for the inevitable crisis of scarce communication resources.
Task-Oriented Prediction and Communication Co-Design for Haptic Communications
In this paper, we propose a task-oriented prediction and communication co-design framework, where the reliability of the system depends on prediction errors and packet losses in communications.
Towards a Sustainable Internet-of-Underwater-Things based on AUVs, SWIPT, and Reinforcement Learning
In this paper, we propose a sustainable scheme to improve the throughput and lifetime of underwater networks, enabling them to potentially operate indefinitely.
Joint User Association and Bandwidth Allocation in Semantic Communication Networks
Nevertheless, the unique demand for background knowledge matching makes it challenging to achieve efficient wireless resource management for multiple users in SemCom-enabled networks (SC-Nets).
WiserVR: Semantic Communication Enabled Wireless Virtual Reality Delivery
Virtual reality (VR) over wireless is expected to be one of the killer applications in next-generation communication networks.
Secure and Trustworthy Artificial Intelligence-Extended Reality (AI-XR) for Metaverses
Metaverse is expected to emerge as a new paradigm for the next-generation Internet, providing fully immersive and personalised experiences to socialize, work, and play in self-sustaining and hyper-spatio-temporal virtual world(s).
FedTrees: A Novel Computation-Communication Efficient Federated Learning Framework Investigated in Smart Grids
Smart energy performance monitoring and optimisation at the supplier and consumer levels is essential to realising smart cities.
A Survey on Energy Optimization Techniques in UAV-Based Cellular Networks: From Conventional to Machine Learning Approaches
In this survey, we investigate different energy optimization techniques with a top-level classification in terms of the optimization algorithm employed; conventional and machine learning (ML).
Intelligent Blockage Prediction and Proactive Handover for Seamless Connectivity in Vision-Aided 5G/6G UDNs
The upsurge in wireless devices and real-time service demands force the move to a higher frequency spectrum.
Wireless Resource Management in Intelligent Semantic Communication Networks
The prosperity of artificial intelligence (AI) has laid a promising paradigm of communication system, i. e., intelligent semantic communication (ISC), where semantic contents, instead of traditional bit sequences, are coded by AI models for efficient communication.
A Nano-Architecture for Fertility Monitoring via Intra-body Communication
The architecture combines intra-body nano-sensor network for detecting Fallopian tube activity, with body-area network for receiving information from the intra-body network and communicating the same over-the-air to the involved personnel (physician/nurse/patient).
High-Resolution Programmable Scattering for Wireless Coverage Enhancement: An Indoor Field Trial Campaign
This paper presents a multi-bit reconfigurable intelligent surface (RIS) with a high phase resolution, capable of beam-steering in the azimuthal plane at sub-6 Gigahertz (GHz).
Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges
New technological advancements in wireless networks have enlarged the number of connected devices.
Smart and Secure CAV Networks Empowered by AI-Enabled Blockchain: The Next Frontier for Intelligent Safe Driving Assessment
Securing safe driving for connected and autonomous vehicles (CAVs) continues to be a widespread concern, despite various sophisticated functions delivered by artificial intelligence for in-vehicle devices.
An Intelligent Non-Invasive Real Time Human Activity Recognition System for Next-Generation Healthcare
The dataset was used to create a machine learning model, which was used in a developed application to provide a quasi-real-time classification of standing or sitting state.
Revolutionizing Future Healthcare using Wireless on the Walls (WoW)
These intelligent surfaces mounted and/or coated on walls aka - Intelligent Walls are planar and active surfaces, which will be a key element in beyond 5G and 6G communication.
Context-Aware Wireless Connectivity and Processing Unit Optimization for IoT Networks
A novel approach is presented in this work for context-aware connectivity and processing optimization of Internet of things (IoT) networks.
Q-learning Assisted Energy-Aware Traffic Offloading and Cell Switching in Heterogeneous Networks
In this work, we first considered a Control/Data Separated Architecture (CDSA) with a macro cell serving as the Control Base Station (CBS) and multiple small cells as Data Base Stations (DBS).
