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

AoI-aware transmission control in real-time mmwave energy harvesting systems: a risk-sensitive reinforcement learning approach

The evolution of enabling technologies in wireless communications has paved the way for supporting novel applications with more demanding QoS requirements, but at the cost of increasing the complexity...

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Explainable AI for epileptic seizure detection in Internet of Medical Things

In the field of precision healthcare, where accurate decision-making is paramount, this study underscores the indispensability of eXplainable Artificial Intelligence (XAI) in the context of epilepsy...

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Secure cognitive health monitoring using a directed acyclic graph-based and AI-enhanced IoMT framework

Millions of people throughout the world struggle with mental health disorders, but the widespread stigma associated with these issues often prevents them from seeking treatment. We propose a novel strategy...

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Deep reinforcement learning-based spectrum resource allocation for the web of healthcare things with massive integrating wearable gadgets

With the development of the future Web of Healthcare Things (WoHT), there will be a trend of densely deploying medical sensors with massive simultaneous online communication requirements. The dense...

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6G smart fog radio access network: Architecture, key technologies, and research challenges

The 6G smart Fog Radio Access Network (F-RAN) is an integration of 6G network intelligence technologies and the F-RAN architecture. Its aim is to provide low-latency and high-performance services for...

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Enabling intent-driven CoX mechanism in space-terrestrial network for multiple mission impossible

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...

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DWT-3DRec: DeepJSCC-based wireless transmission for efficient 3D scene reconstruction using CityNeRF

The Unmanned Aerial Vehicle (UAV)-assisted sensing–transmission–computing integrated system plays a vital role in emergency rescue scenarios involving damaged infrastructure. To tackle the challenges...

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Resource allocation for AI-native healthcare systems in 6G dense networks using deep reinforcement learning

Although 6G networks combined with artificial intelligence present revolutionary prospects for healthcare delivery, resource management in dense medical device networks stays a basic issue. Reliable...

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Wireless-optical switching and communication based on metasurfaces: From multi-parameter regulation to potential applications

This review provides a comprehensive survey of the most recent developments in metasurfaces for applications in domains including wireless-optical switching and communications. In particular, we focus...

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Building robust traffic classifier under low quality data: a federated contrastive learning approach

In the big data era, the surge in network traffic volume poses challenges for network management and cybersecurity. Network Traffic Classification (NTC) employs deep learning to categorize traffic data,...

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Design and performance analysis of reconfigurable intelligent surface and half-duplex amplify-and-forward relay hybrid network system

A Reconfigurable Intelligent Surface (RIS) can relay signals from the transmitter to the receiver. In this regard, RISs operate similarly to traditional relays. We design a Multiple-Input-Multiple-Output...

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Research and experimental validation for 3GPP ISAC channel modeling standardization

Integrated Sensing and Communication (ISAC) is considered a key technology in 6G networks. An accurate sensing channel model is crucial for the design and sensing performance evaluation of ISAC systems....

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Lightweight deep reinforcement learning for dynamic resource allocation in vehicular edge computing

Vehicular Edge Computing (VEC) enhances the quality of user services by deploying wealth of resources near vehicles. However, due to highly dynamic and complex nature of vehicular networks, centralized...

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Video distribution strategy based on software defined network at the wireless edge

Video distribution strategies in wireless edge networks can significantly reduce video transmission latency and system energy consumption, meeting emerging video services' high-rate, low-latency requirements....

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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...

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Cybertwin driven resource allocation using optimized proximal policy based federated learning in 6G enabled edge environment

Sixth-generation (6G) communication system promises unprecedented data density and transformative applications over different industries. However, managing heterogeneous data with different distributions...

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Rate-splitting multiple access-assisted ISAC design in NAFD cell-free mMIMO systems

Integrated Sensing And Communication (ISAC) is regarded as a promising technology for facilitating the rapid advancement of Sixth-Generation (6G) due to its concurrent transmission of information and...

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Integrated sensing and communication empowered by resilient massive access in SAGIN: an energy efficient perspective

As key technologies in 6G, Space-Air-Ground Integrated Networks (SAGIN) promises to provide seamless global coverage through a comprehensive, ubiquitous communication system, while Integrated Sensing...

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CGGM: A conditional graph generation model with adaptive sparsity for node anomaly detection in IoT networks

Dynamic graphs are increasingly utilized for detecting anomalous behaviors in nodes within the Internet of Things (IoT). Graph generative models are pivotal in addressing the challenge of imbalanced...

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Towards parallel Metaverse: symbiosis of physical and virtual worlds based on Cybertwin-enabled 6G

Metaverse, envisioned as the next evolution of the Internet, is expected to evolve into an innovative medium advancing information civilization. Its core characteristics, including ubiquity, seamlessness,...

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Privacy-preserving computation meets quantum computing: a scoping review

Privacy-Preserving Computation (PPC) comprises the techniques, schemes and protocols which ensure privacy and confidentiality in the context of secure computation and data analysis. Most of the current...

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Sum-rate optimization methods and analysis for reconfigurable intelligent surface aided communication system

When deploying Reconfigurable Intelligent Surface (RIS) to improve System Sum-Rate (SSR), the timeliness and accuracy of SSR optimization methods are difficult to achieve simultaneously through a single...

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Interblock-interference-free precoding using square-root decomposition for faster-than-Nyquist signaling

Precodings using square-root decomposition, including Cholesky and G-To-Minus-Half (GTMH) precodings, are promising for eliminating the Faster-Than-Nyquist (FTN)-induced Intersymbol-Interference (ISI)....

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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 explosive heterogeneous...

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