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

Low-complexity APSK demodulation algorithm based on K-means clustering in LEO satellite communication systems

Amplitude Phase Shift Keying (APSK) is more suitable for the nonlinear channels of Low Earth Orbit (LEO) satellite communication systems compared to Quadrature Amplitude Modulation (QAM). To tackle...

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RIS-assisted cellular networks with multiple D2D pairs: Outage and ergodic achievable rate

Reconfigurable Intelligent Surface (RIS) is envisioned as a promising technology to improve the system capacity of 6G network, by controlling the electromagnetic wave propagation. Most existing works...

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Artificial intelligence enhanced edge server placement for workload balancing and energy efficiency in B5G networks

The Internet of Things (IoT) and allied applications have made real-time responsiveness for massive devices over the Internet essential. Cloud-edge/fog ensembles handle such applications' computations....

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SecureBadger: a Homomorphic Encryption-based framework for secure medical inference

With the rapid development of Artificial Intelligence of Things (AIoT) technology, its adoption in the field of smart healthcare is becoming increasingly pervasive. Leading cloud service providers like...

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Personalized federated learning for semantic communication with collaborative fine-tuning

Semantic Communication (SemCom) is a promising paradigm for future 6G networks, where communication performance hinges on the effectiveness of SemCom models, particularly the source-channel encoder...

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A Security Authentication Scheme for Mobile Industrial IoT Supply Chains Based on Blockchain and Group Key Management

Driven by globalization and digitization, the Mobile Industrial Supply Chain Internet of Things (IoT) has gradually developed, utilizing mobile devices and IoT technologies to enable real-time monitoring...

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Secure transmission for uplink MIMO-OFDM IoT systems: time-domain artificial noise and deep reinforcement learning against intelligent eavesdroppers

Physical layer security has emerged as a promising approach to counter eavesdropping threats in the Internet of Things (IoT). With the advancement of technology, eavesdroppers (Eves) are increasingly...

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GCRA-FWVAE: Anomaly detection for IIoT univariate time series using time-frequency domain analysis

With the rapid development of Artificial Intelligence of Things (AIoT) technologies, the security of Industrial Internet of Things (IIoT) data faces increasing challenges, particularly in time series...

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Large models based high-fidelity voice services over 6G narrowband non-terrestrial networks

Non-Terrestrial Networks (NTN) can be used to provide emergency voice services in Sixth-Generation (6G) communication systems. However, Internet of Things (IoT) terminals, which comprise restricted...

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Secure monitoring of internet of vehicles in 6G networks through intelligent reflecting surfaces leveraging AI

The ensemble of Information and Communication Technology (ICT) and Artificial Intelligence (AI) has catalysed many developments and innovations in the automotive industry. 6G networks emerge as a promising...

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Semantic similarity with cross modal medical image online hashing for internet of medical things

Online hashing methods are receiving increasing attention in cross modal medical image retrieval research. However, existing online methods often lack the learning ability to maintain semantic correlation...

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A cognitive agriculture framework for crop temperature prediction with semantic communication

Accurate prediction of environmental temperature is pivotal for promoting sustainable crop growth. At present, the most effective temperature sensing and prediction system is the Agricultural Internet...

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Adaptive optimal consensus over networked multi-agent systems: A digital signal-driven hybrid iteration approach

The integration of Digital Signal Processing (DSP) and Reinforcement Learning (RL) for optimal consensus control in Networked Multi-Agent Systems (NMASs) has garnered significant research attention....

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A novel formulas for micro-UAV swarm systems: Architecture, algorithms, and verification

During indoor operations, Unmanned Aerial Vehicles (UAVs) are required to embody attributes such as heightened sensitivity, compact design, and robust maneuverability. A high operational advantage is...

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DP-Fed6G: An adaptive differential privacy-empowered federated learning framework for 6G networks

The advent of 6G networks is poised to drive a new era of intelligent, privacy-preserving distributed learning by leveraging advanced communication and AI-driven edge intelligence. Federated Learning...

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ExplainableDetector: exploring transformer-based language modeling approach for SMS spam detection with explainability analysis

Short Message Service (SMS) is a widely used and cost-effective communication medium that has unfortunately become a frequent target for unsolicited messages - commonly known as SMS spam. With the rapid...

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EPVCNet: Enhancing privacy and security for image authentication in computing-sensitive 6G environment

As the 5G architecture gains momentum, interest in 6G is growing. The proliferation of Internet of Things (IoT) devices, capable of capturing sensitive images, has increased the need for secure transmission...

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Resilient task offloading in integrated satellite-terrestrial networks with mobility-induced variability

Low Earth Orbit (LEO) satellites have gained significant attention for their low-latency communication and computing capabilities but face challenges due to high mobility and limited resources. Existing...

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Autonomous network management for 6G communication: a comprehensive survey

The rapid advancement of 6G communication networks presents both considerable problems and opportunities in network management, necessitating sophisticated solutions that extend beyond conventional...

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Statistical energy consumption analysis and optimization for relaying transmission with wireless power transfer

Improving the energy efficiency of information transmission is very critical to future Internet of Things' development. Considering the sporadic characteristics for IoT transmissions, energy consumption...

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Energy minimized joint resource allocation and task offloading with user association for URLLC and eMBB 5G multi-RAT systems

In this paper, a multi-agent deep reinforcement learning-based joint resource allocation and task offloading control technique is proposed to minimize the energy consumption of user equipment (UE) supporting...

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EdgeAIGC: Model caching and resource allocation for Edge Artificial Intelligence Generated Content

With the rapid development of Generative Artificial Intelligence technology, the traditional cloud-based centralized model training and inference face significant limitations due to high transmission...

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Maximizing energy efficiency in 6G cognitive radio network

The increasing demand for infotainment applications necessitates efficient bandwidth and energy resource allocation. Sixth-Generation (6G) networks, utilizing Cognitive Radio (CR) technology within...

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Reconfigurable intelligent surface-aided dual-function radar and communication systems with MU-MIMO communication

In this paper, we investigate an reconfigurable intelligent surface-aided Integrated Sensing And Communication (ISAC) system. Our objective is to maximize the achievable sum rate of the multi-antenna...

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Intelligent Transportation Systems: A Critical Review of Integration of Cyber-physical Systems (CPS) and Industry 4.0

The concept of Cyber-Physical Systems (CPS) enables the creation of a complex network that includes sensors integrated into vehicles and infrastructure, facilitating seamless data acquisition and transfer....

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