Recent Articles

Open access

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

Dynamic modeling and analysis of terahertz multiple-input multiple-output channels considering human presence in indoor environments

Terahertz (THz) technology is considered a critical enabler of ultra-high-speed wireless communication in future wireless networks. Achieving reliable THz communication performance in indoor environments...

Mosaic-AM: multimodal sensors anomaly detection with inherent compensation for absent modalities

Large scale deployment of the Internet of Things (IoT) has produced a disruptive effect in many fields in the recent past. Continuous connectivity combined with relatively low physical implementation...

Decentralized snapshot selection via trust game for robust DOA estimation with FMCW radar in static scenarios

Direction Of Arrival (DOA) estimation in Frequency Modulated Continuous Wave (FMCW) radar systems is critical for structural health monitoring, but is often compromised by phase-corrupted snapshots...

Security and privacy in edge computing: a survey of electric vehicles

Electric Vehicles (EVs) have developed into a complex ecosystem that includes many technical components such as task offloading on mobile devices, the Internet of Vehicles (IoV), and smart grids. Moreover,...

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...

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 blockchain-based user-centric identity management toward 6G networks

The developing Sixth-Generation (6G) network aims to establish seamless global connectivity for billions of humans, machines, and devices. However, the rich digital service and the explosive heterogeneous...

Double-side delay alignment modulation for multi-user millimeter wave and terahertz communications

Delay Alignment Modulation (DAM) is an innovative broadband modulation technique well-suited for millimeter Wave (mmWave) and Terahertz (THz) massive Multiple-Input Multiple-Output (MIMO) communication...

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...

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...

Enhanced multi-agent deep reinforcement learning for efficient task offloading and resource allocation in vehicular networks

In response to the rising demand for low-latency, computation-intensive applications in vehicular networks, this paper proposes an adaptive task offloading approach for Vehicle-to-Everything (V2X) environments....

Heterogeneous resource allocation with latency guarantee for computing power network

Computing Power Network (CPN) is a new paradigm that integrates communication, computing, and storage resources to provide services for tasks. However, tasks composed of non-independent subtasks have...

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