Recent Articles

Open access

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

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...

TopoLLM: LLM-driven adaptive tool learning for real-time emergency network topology planning

Communication infrastructure is often among the first casualties in natural or human-induced disasters, severely impairing the coordination and efficiency of rescue operations. Rapid deployment of Unmanned...

Risk-aware user satisfaction maximization in vehicle-assisted multi-access edge computing offloading: a game-theoretic approach

Multi-access Edge Computing (MEC) enhances computational efficiency by enabling resource-constrained User Devices (UD) to offload tasks to edge servers. Compared to traditional edge servers fixed on...

Green scheduling for LLM workloads with model and data reuse across geo-distributed data centers

The explosive proliferation of Large Language Models (LLMs) imposes significant energy and operational burdens on Geographically Distributed Data Centers (GDDCs), thereby demanding an efficient mechanism...

Joint user association and cooperative beamforming for multi-IRSs aided mmWave communication systems

This paper investigates a downlink millimeter-Wave (mmWave) communication system equipped with multiple cooperative Intelligent Reflecting Surfaces (IRSs), aiming to extend mmWave signal coverage and...

A digital twin-based quadruped robot system with scene perception, fast communication, and holographic interaction

This paper develops a quadruped robot virtual-real interactive control system based on digital twin technology. The system is designed to address key challenges in robotics technology, including real-time...

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...

Efficient user scheduling in mmWave networks: leveraging knowledge transfer with channel knowledge map

This paper proposes a Deep Reinforcement Learning (DRL) algorithm for user scheduling in Millimeter Wave (mmWave) networks, which utilizes Channel Knowledge Map (CKM) for knowledge transfer to enhance...

Deep learning aided CSI feedback optimization with robust error recovery

Driven by the increasing demand for efficient data transmission, massive Multiple-Input Multiple-Output (MIMO) systems have emerged as a key technology for future communication systems. However, effective...

Generalized Kennedy receivers enhanced CV-QKD in turbulent channels for endogenous security of space-air-ground integrated network

Endogenous security in next-generation wireless communication systems attracts increasing attentions in recent years. A typical solution to endogenous security problems is the Quantum Key Distribution...

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...

Robust connectivity in time-frequency dual fading channels for the 6G satellite IoT: chirp and FRFT

With the development of Sixth-Generation (6G) mobile communication technologies, Low Earth Orbit (LEO) satellite communication systems have become extremely important in mobile communications owing...

Spatio-temporal feature extraction with a global-local Transformer model for video scene graph generation

In the field of video scene graph generation, spatio-temporal feature extraction and the long-tail effect in relationship classification are core research issues. This paper proposes extracting spatio-temporal...

Performance analysis of RIS-aided incremental-relaying wireless communication systems

The emerging sixth-generation networks demand ultra-high-speed wideband transmissions. In this context, this study proposes a novel Reconfigurable Intelligent Surface (RIS)-aided Incremental Relaying...

Data grading for intelligent connected vehicles: an inference strength-driven framework

Intelligent Connected Vehicles (ICVs) generate massive heterogeneous multi-modal data during operation, and due to the limited computing resources on board, graded data encryption protection is of great...

FELoc: a feature equalization method based on channel state information for Wi-Fi indoor localization

With the rapid development of 5G-A technology, Wi-Fi-based indoor fingerprint localization has gained prominence for its high-precision indoor localization. However, conventional methods often suffer...

Communication receiver design with pre-trained models based natural redundancy decoding

The current wireless communication system has higher demands for receivers’ performance. In this paper, Natural Redundancy (NR) which widely existed in the transmission sources is exploited to enhance...

Federated anomaly detection in smart grid systems

Smart Grid infrastructures have enhanced energy distribution efficiency, reliability, and sustainability, but their proper operation requires robust anomaly detection to mitigate risks from equipment...

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...

Single-channel blind source separation empowered joint transceiver optimization for wireless communications using deep learning

To tackle the physical layer security challenges in wireless communication, this paper introduces a multi-user architecture that leverages single-channel blind source separation, centered around a Multi-source...

Distributed unsupervised meta-learning algorithm over multi-agent systems

Multi-Agent Systems (MAS), which consist of multiple interacting agents, are crucial in Cyber-Physical Systems (CPS), because they improve system adaptability, efficiency, and robustness through parallel...

A secure mist-fog-assisted cooperative offloading framework for sustainable smart city development

Practical applications of smart cities and the Internet of Things (IoT) have multiplied, posing many difficulties in network performance, dependability, and security. Concerns of accessibility, reliability,...

Optimizing the cyber-physical intelligent transportation system network using enhanced models for data routing and task scheduling

Advanced technologies like Cyber-Physical Systems (CPS) and the Internet of Things (IoT) have supported modernizing and automating the transportation region through the introduction of Intelligent Transportation...

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