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ISSN: 2352-8648
CN: 50-1212/TN
p-ISSN: 2468-5925

Analysis on unit maximum capacity of orthogonal multiple watermarking for multimedia signals in B5G wireless communications

Beyond-5G (B5G) aims to meet the growing demands of mobile traffic and expand the communication space. Considering that intelligent applications to B5G wireless communications will involve security...

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UAV-assisted cooperative offloading energy efficiency system for mobile edge computing

Reliable communication and intensive computing power cannot be provided effectively by temporary hot spots in disaster areas and complex terrain ground infrastructure. Mitigating this has greatly developed...

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Resource allocation for D2D-assisted haptic communications

Haptic communications is recognized as a promising enabler of extensive services by enabling real-time haptic control and feedback in remote environments, e.g., teleoperation and autonomous driving....

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Hadoop-based secure storage solution for big data in cloud computing environment

In order to address the problems of the single encryption algorithm, such as low encryption efficiency and unreliable metadata for static data storage of big data platforms in the cloud computing environment,...

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Reinforcement learning based edge computing in B5G

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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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