A blockchain-based user-centric identity management toward 6G networks
January 2026
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
January 2026
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
January 2026
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
January 2026
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
January 2026
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
January 2026
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...
Single-channel blind source separation empowered joint transceiver optimization for wireless communications using deep learning
January 2026
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
January 2026
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...
V-track: Blockchain-enabled IoT system for reliable vehicle location verification
January 2026
Location-Based Services (LBS) have greatly improved efficiency and functionality in various domains, but privacy and security concerns remain due to the centralized nature of many existing systems....
Secformer: Privacy-preserving atomic-level componentized transformer-like model with MPC
January 2026
The global surge in Artificial Intelligence (AI) has been triggered by the impressive performance of deep-learning models based on the Transformer architecture. However, the efficacy of such models...
A novel deviation measurement for scheduled intelligent transportation system via comparative spatial-temporal path networks
January 2026
Transit managers can use Intelligent Transportation System technologies to access large amounts of data to monitor network status. However, the presentation of the data lacks structural information....
Intelligent Transportation Systems: A Critical Review of Integration of Cyber-Physical Systems (CPS) and Industry 4.0
January 2026
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....
Personalized and Sustainable Federated Learning in Integrated Internet of Things
Available online 27 January 2026
Integrated Internet of Things (IoTs) bring novel opportunities for pervasive smart services, as such systems allow for seamless information and resource sharing among IoT devices. Meanwhile, federated...
A survey of AI-driven QoT analysis in lightpath management
Available online 17 January 2026
Quality of Transmission (QoT) analysis is a foundational component in planning and operational management of modern optical networks. Traditional analytical models have limitations in accurately modeling...
Large language model empowered next-generation MIMO networks: fundamentals, challenges, and visions
Available online 3 January 2026
Next-generation Multiple-Input Multiple-Output (MIMO) is expected to be intelligent and scalable. In this paper, we study Large Language Model (LLM)-enabled next-generation MIMO networks. Firstly, we...
Characterization and optimization of satellite complex networks based on hyperbolic space
December 2025
In recent years, the rapid advancement of mega-constellations in Low Earth Orbit (LEO) has led to the emergence of satellite communication networks characterized by a complex interplay between high-...
Cross-domain resources optimization for hybrid edge computing networks: Federated DRL approach
December 2025
Due to the dynamic nature of service requests and the uneven distribution of services in the Internet of Vehicles (IoV), Multi-access Edge Computing (MEC) networks with pre-installed servers are often...
Radio map estimation using a CycleGAN-based learning framework for 6G wireless communication
December 2025
As the 6G era approaches, wireless communication faces challenges such as massive user numbers, high mobility, and spectrum resource sharing. Radio maps are crucial for network design, optimization,...
Shard-DAG: A scalable and secure block-DAG sharding scheme for AI-driven 6G networks
December 2025
The ultra-high speed, ultra-low latency, and massive connectivity of the 6th Generation Mobile Network (6G) present unprecedented challenges to network security. In addition, the deep integration of...
DP-Fed6G: An adaptive differential privacy-empowered federated learning framework for 6G networks
December 2025
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...
Secure monitoring of Internet of vehicles in 6G networks through intelligent reflecting surfaces leveraging AI
December 2025
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...
Enabling intent-driven CoX mechanism in space-terrestrial network for multiple mission impossible
December 2025
The Space-Terrestrial Network (STN) aims to deliver comprehensive on-demand network services, addressing the broad and varied needs of Internet of Things (IoT) applications. However, the STN faces new...
Pre-filters design for weighted sum rate maximization in multiuser time reversal downlink systems
December 2025
In high-speed multiuser Time Reversal (TR) downlink systems, the transmission rate is degraded due to the presence of severe inter-user and inter-symbol interference. Moreover, maximizing the weighted...
Swarm learning anomaly detection framework for cloud data center using multi-channel BiWGAN-GTN and CEEMDAN
December 2025
Anomaly detection is an important task for maintaining the performance of cloud data center. Traditional anomaly detection primarily examines individual Virtual Machine (VM) behavior, neglecting the...
F-norm based low-power motion recognition on wearable devices in the presence of outlier motions
December 2025
Motion recognition refers to the intelligent recognition of human motion using data collected from wearable sensors, which exceedingly has gained significant interest from both academic and industrial...