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

Digital cancellation of multi-band passive inter-modulation based on Wiener-Hammerstein model

Utilizing multi-band and multi-carrier techniques enhances throughput and capacity in Long-Term Evolution (LTE)-Advanced and 5G New Radio (NR) mobile networks. However, these techniques introduce Passive...

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A reconstruction and recovery network-based channel estimation in high-speed railway wireless communications

The integration of high-speed railway communication systems with 5G technology is widely recognized as a significant development. Due to the considerable mobility of trains and the complex nature of...

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Demand side management with wireless channel impact in IoT-enabled smart grid system

Demand Side Management (DSM) is a vital issue in smart grids, given the time-varying user demand for electricity and power generation cost over a day. On the other hand, wireless communications with...

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Adaptor signature based on randomized EdDSA in blockchain

Adaptor signature, a new primitive that alleviates the scalability issue of blockchain to some extent, has been widely adopted in the off-chain payment channel and atomic swap. As an extension of standard...

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A Deployment Optimization for Wireless Sensor Networks Based on Stacked Auto Encoder and Probabilistic Neural Network

In the field of consumer electronics, Wireless Sensor Networks (WSNs) can be used to build large-scale IoT systems and achieve intelligent data collection and processing. This paper proposes a deep...

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Learned distributed image compression with decoder side information

With the rapid development of digital communication and the widespread use of the Internet of Things, multi-view image compression has attracted increasing attention as a fundamental technology for...

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Nondestructive detection and classification of impurities-containing seed cotton based on hyperspectral imaging and one-dimensional convolutional neural network

The cleanliness of seed cotton plays a critical role in the pre-treatment of cotton textiles, and the removal of impurity during the harvesting process directly determines the quality and market value...

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Handover management in beyond 5g hetnet topologies with unbalanced user distribution

The increase in user mobility and density in modern cellular networks increases the risk of overloading certain base stations in popular locations such as shopping malls or stadiums, which can result...

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Intelligent sitting postural anomaly detection system for wheelchair users with unsupervised techniques

Detecting sitting posture abnormalities in wheelchair users enables early identification of changes in their functional status. To date, this detection has relied on in-person observation by medical...

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K-B2S+: A one-dimensional CNN model for AF detection with short single-lead ECG waves from wearable devices

Wearable signal analysis is an important technology for monitoring physiological signals without interfering with an individual's daily behavior. As detecting cardiovascular diseases can dramatically...

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Efficient and fine-grained access control with fully-hidden policies for cloud-enabled IoT

Ciphertext-Policy Attribute-Based Encryption (CP-ABE) enables fine-grained access control on ciphertexts, making it a promising approach for managing data stored in the cloud-enabled Internet of Things....

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Device-edge collaborative occluded face recognition method based on cross-domain feature fusion

The lack of facial features caused by wearing masks degrades the performance of facial recognition systems. Traditional occluded face recognition methods cannot integrate the computational resources...

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Wideband communications through drone-assisted cognitive radio VANETs using SURF channel selection

In the past decade, Vehicular Ad-hoc Network (VANET) research has flourished, particularly in the context of smart cities, where it plays a pivotal role in supporting intelligent transportation systems...

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Chinese satellite frequency and orbit entity relation extraction method based on dynamic integrated learning

Given the scarcity of Satellite Frequency and Orbit (SFO) resources, it holds paramount importance to establish a comprehensive knowledge graph of SFO field (SFO-KG) and employ knowledge reasoning technology...

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Adjustable random linear network coding (ARLNC): a solution for data transmission in dynamic IoT computational environments

In mobile computing environments, most IoT devices connected to networks experience variable error rates and possess limited bandwidth. The conventional method of retransmitting lost information during...

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SEAttention-residual based channel estimation for mmWave massive MIMO systems in IoV scenarios

To improve the accuracy and efficiency of time-varying channels estimation algorithms for millimeter Wave (mmWave) massive Multiple-Input Multiple-Output (MIMO) systems in Internet of Vehicles (IoV)...

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A relationship-aware mutual learning method for lightweight skin lesion classification

In recent years, deep learning has made significant advancements in skin cancer diagnosis. However, most methods prioritize high prediction accuracy without considering the limitations of computational...

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A CSMA/CA based MAC protocol for hybrid Power-line/Visible-light communication networks: Design and analysis

Hybrid Power-line/Visible-light Communication (HPVC) network has been one of the most promising Cooperative Communication (CC) technologies for constructing Smart Home due to its superior communication...

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Data complexity-based batch sanitization method against poison in distributed learning

The security of Federated Learning (FL)/Distributed Machine Learning (DML) is gravely threatened by data poisoning attacks, which destroy the usability of the model by contaminating training samples,...

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PEPFL: A framework for a practical and efficient privacy-preserving federated learning

As an emerging joint learning model, federated learning is a promising way to combine model parameters of different users for training and inference without collecting users’ original data. However,...

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Refinement modeling and verification of secure operating systems for communication in digital twins

In traditional digital twin communication system testing, we can apply test cases as completely as possible in order to ensure the correctness of the system implementation, and even then, there is no...

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Digital twin- and extended reality-based telepresence for collaborative robot programming in the 6G perspective

In the context of Industry 4.0, a paradigm shift from traditional industrial manipulators to Collaborative Robots (CRs) is ongoing, with the latter serving ever more closely humans as auxiliary tools...

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Digital twin driven and intelligence enabled content delivery in end-edge-cloud collaborative 5G networks

The rapid development of 5G/6G and AI enables an environment of Internet of Everything (IoE) which can support millions of connected mobile devices and applications to operate smoothly at high speed...

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Deployment optimization for target perpetual coverage in energy harvesting wireless sensor network

Energy limitation of traditional Wireless Sensor Networks (WSNs) greatly confines the network lifetime due to generating and processing massive sensing data with a limited battery. The energy harvesting...

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Achieving dynamic privacy measurement and protection based on reinforcement learning for mobile edge crowdsensing of IoT

With the maturity and development of 5G field, Mobile Edge CrowdSensing (MECS), as an intelligent data collection paradigm, provides a broad prospect for various applications in IoT. However, sensing...

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