Reinforcement learning based edge computing in B5G
February 2024
The development of communication technology will promote the application of Internet of Things, and Beyond 5G will become a new technology promoter. At the same time, Beyond 5G will become one of the...
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Channel assignment and power allocation for throughput improvement with PPO in B5G heterogeneous edge networks
February 2024
In Beyond the Fifth Generation (B5G) heterogeneous edge networks, numerous users are multiplexed on a channel or served on the same frequency resource block, in which case the transmitter applies coding...
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An artificial intelligence diabetes management architecture based on 5G
February 2024
Along with the development of 5G network and Internet of Things technologies, there has been an explosion in personalized healthcare systems. When the 5G and Artificial Intelligence (AI) is introduced...
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Intelligent reflecting surface for sum rate enhancement in MIMO systems
February 2024
The research for the Intelligent Reflecting Surface (IRS) which has the advantages of cost and energy efficiency has been studied. Channel capacity can be effectively increased by appropriately setting...
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EDSUCh: A robust ensemble data summarization method for effective medical diagnosis
February 2024
Identifying rare patterns for medical diagnosis is a challenging task due to heterogeneity and the volume of data. Data summarization can create a concise version of the original data that can be used...
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SHT-based public auditing protocol with error tolerance in FDL-empowered IoVs
February 2024
With the intelligentization of the Internet of Vehicles (IoVs), Artificial Intelligence (AI) technology is becoming more and more essential, especially deep learning. Federated Deep Learning (FDL) is...
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A credibility-aware swarm-federated deep learning framework in internet of vehicles
February 2024
Although Federated Deep Learning (FDL) enables distributed machine learning in the Internet of Vehicles (IoV), it requires multiple clients to upload model parameters, thus still existing unavoidable...
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Feature extraction for machine learning-based intrusion detection in IoT networks
February 2024
A large number of network security breaches in IoT networks have demonstrated the unreliability of current Network Intrusion Detection Systems (NIDSs). Consequently, network interruptions and loss of...
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QoE oriented intelligent online learning evaluation technology in B5G scenario
February 2024
Students' demand for online learning has exploded during the post-COVID-19 pandemic era. However, due to their poor learning experience, students' dropout rate and learning performance of online learning...
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Optimization-based mode selection scheme for OAM millimeter wave system in the off-axis misalignment case
February 2024
Millimeter-wave transmission combined with Orbital Angular Momentum (OAM) has the advantage of reducing the loss of beam power and increasing the system capacity. However, to fulfill this advantage,...
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A blockchain based privacy-preserving federated learning scheme for Internet of Vehicles
February 2024
The application of artificial intelligence technology in Internet of Vehicles (IoV) has attracted great research interests with the goal of enabling smart transportation and traffic management. Meanwhile,...
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NFA: A neural factorization autoencoder based online telephony fraud detection
February 2024
The proliferation of internet communication channels has increased telecom fraud, causing billions of euros in losses for customers and the industry each year. Fraudsters constantly find new ways to...
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Physical-layer security in MU-MISO downlink networks against potential eavesdroppers
Available online 29 February 2024
Recently, wireless security has been highlighted as one of the most important techniques for 6G mobile communication systems. Many researchers have tried to improve the Physical-Layer Security (PLS)...
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High-speed encrypted traffic classification by using payload features
Available online 28 February 2024
Traffic encryption techniques facilitate cyberattackers to hide their presence and activities. Traffic classification is an important method to prevent network threats. However, due to the tremendous...
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An analytical framework for the incorporation of non-orthogonal pilots in massive MIMO systems
Available online 28 February 2024
Training-based cellular communication systems use orthogonal pilot sequences to limit pilot contamination. However, the orthogonality constraint imposes a certain pilot length, and therefore, in communication...
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APFed: Adaptive personalized federated learning for intrusion detection in maritime meteorological sensor networks
Available online 9 February 2024
With the rapid development of advanced networking and computing technologies such as the Internet of Things, network function virtualization, and 5G infrastructure, new development opportunities are...
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UAV-assisted MEC offloading strategy with peak AOI boundary optimization: A method based on DDQN
Available online 8 February 2024
In response to the requirements for large-scale device access and ultra-reliable and low-latency communication in the power internet of things, unmanned aerial vehicle-assisted multi-access edge computing...
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Robust beamforming design for energy harvesting efficiency maximization in RIS-aided SWIPT system
Available online 2 February 2024
This paper investigates Energy Harvesting Efficiency (EHE) maximization problems for Reconfigurable intelligent surface (RIS) aided Simultaneous Wireless Information and Power Transfer (SWIPT). This...
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Game-theoretic private blockchain design in edge computing networks
Available online 2 February 2024
Considering the privacy challenges of secure storage and controlled flow, there is an urgent need to realize a decentralized ecosystem of private blockchain for cyberspace. A collaboration dilemma arises...
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Rate distortion optimization for adaptive gradient quantization in federated learning
Available online 1 February 2024
Federated Learning (FL) is an emerging machine learning framework designed to preserve privacy. However, the continuous updating of model parameters over uplink channels with limited throughput leads...
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Multi-layer network embedding on scc-based network with motif
Available online 26 January 2024
Interconnection of all things challenges the traditional communication methods, and Semantic Communication and Computing (SCC) will become new solutions. It is a challenging task to accurately detect,...
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Short video preloading via domain knowledge assisted deep reinforcement learning
Available online 26 January 2024
Short video applications like TikTok have seen significant growth in recent years. One common behavior of users on these platforms is watching and swiping through videos, which can lead to a significant...
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RS-DRL-based offloading policy and UAV trajectory design in F-MEC systems
Available online 10 January 2024
For better flexibility and greater coverage areas, Unmanned Aerial Vehicles (UAVs) have been applied in Flying Mobile Edge Computing (F-MEC) systems to offer offloading services for the User Equipment...
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Partial observation learning-based task offloading and spectrum allocation in UAV collaborative edge computing
Available online 5 January 2024
Capable of flexibly supporting diverse applications and providing computation services, the Mobile Edge Computing (MEC)-assisted Unmanned Aerial Vehicle (UAV) network is emerging as an innovational...
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