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

Low-complexity multi-target localization via multi-BS sensing

Integrated Sensing and Communication (ISAC) is envisioned as a promising technology for Sixth-Generation (6G) wireless communications, which enables simultaneous high-rate communication and high-precision...

Lightweight consensus mechanisms in the Internet of Blockchained Things: Thorough analysis and research directions

The Internet of Things (IoT) has gained substantial attention in both academic research and real-world applications. The proliferation of interconnected devices across various domains promises to deliver...

Enhancing generalized receive spatial modulation by symbol-level precoding: Design guidelines with or without intelligent reflecting surfaces

Existing Generalized Receive Spatial Modulation (GRSM) with Symbol-Level Precoding (SLP) forces the received signals (excluding noise) at unintended antennas to be zero, which restricts the generation...

Heterogeneous radio frequency/underwater optical wireless communication relaying systems with MIMO scheme

This paper studies a cooperative relay transmission system within the framework of Multiple-Input Multiple-Output Radio Frequency/Underwater Optical Wireless Communication (MIMO-RF/UOWC), aiming to...

From sensing to energy savings: A comprehensive survey on integrating emerging technologies for energy efficiency in WBANs

Energy is essential for human existence, and its high consumption is a growing concern in today's technology-driven society. Global initiatives aim to reduce energy consumption and pollution by developing...

Generalized spatial modulation detector assisted by reconfigurable intelligent surface based on deep learning

Reconfigurable Intelligent Surface (RIS) is regarded as a cutting-edge technology for the development of future wireless communication networks with improved frequency efficiency and reduced energy...

A lightweight dual authentication scheme for V2V communication in 6G-based vanets

The advancement of 6G wireless communication technology has facilitated the integration of Vehicular Ad-hoc Networks (VANETs). However, the messages transmitted over the public channel in the open and...

Radio map estimation using a CycleGAN-based learning framework for 6G wireless communication

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,...

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...

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...

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....

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...

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...

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...

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...

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...

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...

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...

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...

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...

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....

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...

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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