Articles in press have been peer-reviewed and accepted, which are not yet assigned to volumes /issues, but are citable by Digital Object Identifier (DOI).
Abstract: Objective With the advancement of information technology, information security concerns have become increasingly significant, making covert communication technology a critical area of focus. Existing schemes face limitations regarding embedding rate,...
Abstract: Objective Breathing rate is a vital physiological indicator of human health. Abnormal changes in this rate can signify diseases like chronic obstructive pulmonary disease, sleep apnea syndrome, and nocturnal hypoventilation syndrome. Timely and accur...
Abstract: Objective: Next-generation communication networks will enhance converged “endogenous sensing” and communication service capabilities by improving information transmission. Integrated Sensing and Communication (ISAC) is a key technology for achieving ...
Abstract: Significance The Internet of Things (IoT) has become a transformative technology in intelligent systems across diverse domains, including smart cities, industrial automation, and healthcare. However, traditional IoT systems, which isolate sensing, co...
Abstract: Objective Traditional approaches typically adopt a disjoint design that improves specific performance aspects under particular scenarios but often proves inadequate for addressing complex tasks in dynamic environments. Challenges such as real-time ta...
Abstract: Objective The widespread adoption of Unmanned Aerial Vehicles (UAVs) across civilian and military domains has introduced significant privacy and security challenges. Robust UAV identification and localization technologies are essential to address the...
Abstract: Objective Low Probability of Intercept (LPI) radar enhances stealth, survivability, and operational efficiency by reducing the likelihood of detection, making it widely used in military applications. However, accurately analyzing the intra-pulse modu...
Abstract: Objective This study addresses target localization in multistatic passive radar systems under conditions where the transmitter’s position and velocity are unknown. Multistatic passive radar systems utilize covert deployment, exhibit resilience to jam...
Abstract: Objective Global Navigation Satellite Systems (GNSS) provide location, velocity, and timing services globally and are widely used. However, their signals are highly susceptible to interference from natural environments or human factors, and existing ...
Abstract: Significance The Low Altitude Intelligent Network (LAIN) has emerged as a critical productive force in recent years, particularly with the growing strategic role of the low-altitude economy in national development plans. As an integral part of smart ...
Abstract: Objective Small target recognition on the sea surface is a critical and challenging task in maritime radar surveillance. The variety of small targets and the complexity of the sea surface environment make their classification difficult. Due to the sm...
Abstract: RF-based drone detection is an essential method for managing non-cooperative drones, with Drone Individual Recognition (DIR) via RF signals being a key component in the detection process. Given the current scarcity of DIR datasets, this paper propose...
Abstract: Objective The growing reliance on data in today’s digital age highlights the importance of effective data management across industries. Federated Learning (FL), an innovative approach, facilitates data collaboration and joint model development while ...
Abstract: Objective As wireless communication technology advances, sensing and communication systems are shifting toward higher frequency bands, larger antenna arrays, and miniaturization. This integration of hardware architecture, channel characteristics, and...
Abstract: Objective With the exponential growth of vehicle terminals and the widespread adoption of cognitive vehicular network applications, the existing licensed spectrum resources are inadequate to meet the communication demands of Cognitive Vehicular Netwo...
Abstract: Objective The proliferation of sixth-Generation (6G) wireless network technologies has led to an exponential demand for intelligent devices, such as autonomous transportation, environmental monitoring, and consumer robotics. These applications will g...
Abstract: Objective The proliferation of technologies such as the Internet of Things, smart cities, and next-generation mobile communications has made Non-Terrestrial Networks (NTNs) increasingly important for global communication. Future communication systems...
Abstract: Objective The Reconfigurable Intelligent Surface (RIS) is emerging as a promising technology due to its ability to provide passive beamforming gains, which can be seamlessly integrated into existing wireless networks without altering physical layer s...
Abstract: Objective: In monitoring Internet of Things (IoT) systems, it is essential for sensor devices to transmit collected data to the Access Point (AP) promptly. The timely transmission of information can be enhanced by increasing transmission power, as hi...
Abstract: Objective: Previous studies have extensively examined the performance of Intelligent Reflecting Surface (IRS)-assisted wireless communications by varying the location of the IRS. However, relocating the IRS alters the sum of the distances between the...
Abstract: Objective: High-quality wireless communication enabled by Unmanned Aerial Vehicles (UAVs) is set to play a crucial role in the future. In light of the limitations posed by traditional terrestrial communication networks, the deployment of UAVs as node...
Abstract: Objective The W-band spectrum, spanning from 75 to 110 GHz, offers valuable spectrum resources, making it well-suited for high-speed wireless communication, radar detection, and biomedical imaging. Its lower atmospheric attenuation, compared to the c...
Abstract: Objective With the continuous advancement of research on Reconfigurable Intelligent Surfaces (RIS), various application scenarios have emerged. Among these, Active Reconfigurable Intelligent Surfaces (ARIS) attracts significant attention from the aca...
Abstract: Objective The rapid development of digital and intelligent technologies has driven the increasing demand for cross-modal communication systems to support a wide range of applications, such as high-bandwidth video streaming, ultra-reliable low-latency...
Abstract: Objective Integrated Sensing and Communication (ISAC) systems are considered key technologies for the upcoming 6G networks, offering a unified platform for wireless communication and environmental sensing. To enhance the security of ISAC systems, an ...
Abstract: Objective: Covert communication is a crucial area within network security, facilitating secure data transmission in monitored environments. Nevertheless, practical communication systems face challenges such as complex communication environments and e...
Abstract: Objective Visible Light Communication (VLC) is emerging as a key technology for future communication systems, offering advantages such as abundant and license-free spectrum, immunity to electromagnetic interference, and low-cost front-end devices. Li...
Abstract: Objective This paper addresses the energy efficiency challenge in Ultra-Reliable Low-Latency Communication (URLLC) systems, crucial for mission-critical applications such as industrial automation and remote surgery. The integration of Simultaneously ...
Abstract: Objective Mobile Edge Computing (MEC) is a distributed computing paradigm that brings computational resources closer to users, alleviating issues such as high latency and interference found in cloud computing. To enhance the offloading performance of...
Abstract: Objective This study aims to develop and implement an optimization framework that addresses the critical balance between energy consumption and information freshness in Unmanned Aerial Vehicle (UAV)-assisted Internet of Things (IoT) data collection s...
Abstract: Objective The rapid growth of wireless communication traffic is pushing existing networks toward greener, more energy-efficient solutions. Therefore, research into wireless communication systems that balance low complexity with high energy efficiency...
Abstract: Objective Physical Layer Key Generation (PLKG) is an emerging technique that leverages the reciprocity, time variability, and spatial decorrelation properties of wireless channels to enable real-time key generation. This method offers potential for o...
Abstract: Objective With the rapid pace of digital transformation and the smart upgrading of the economy and society, the Internet of Things (IoT) has become a critical element of new infrastructure. Current wide-area IoT networks primarily rely on 5G terrestr...
Abstract: Objective Mobile Edge Computing (MEC) is a key technology for addressing the limited computing capabilities and energy constraints of wireless devices. MEC improves local computing performance and extends battery life by offloading computationally in...
Abstract: Objective: As a vital component of the global communication network, satellite communication attracts significant attention for its capacity to provide seamless global coverage and establish an integrated space-ground information network. Time-Hoppin...
Abstract: Objective Orthogonal Time Frequency Space (OTFS) have attracted significant attention in recent years due to excellent performance in high-speed mobile communication scenarios characterized by time-frequency double-selective channels. Accurate and ef...
Abstract: Objective In the Internet of Vehicles (IoV), where differentiated services coexist, the system is progressively evolving towards safety and collaborative control applications, such as autonomous driving. Current research primarily focuses on optimizi...
Abstract: Objective Most traditional beamforming techniques and adaptive beamforming methods rely on reference signals. These methods require prior knowledge of the signal frequency and Direction of Arrival (DOA) at the array for beamforming. However, in low S...
Abstract: Objective Differential privacy, based on strict statistical models, is widely applied in federated learning. The common approach integrates privacy protection by perturbing parameters during local model training and global model aggregation to safegu...
Abstract: Objective By placing a micro-lens array between the main lens and imaging sensor, a light field camera captures both intensity and directional information of light in a scene. However, due to sensor size, dense spatial sampling results in sparse angu...
Abstract: Age of Information (AoI) quantifies information freshness, which is critical for time-sensitive Internet of Things (IoT) applications. This paper investigates AoI optimization in an LoRa network under the Slot-Aloha protocol in an intelligent transpo...
Abstract: Objective Neural networks that demonstrate superior performance often necessitate complex architectures and substantial computational resources, thereby limiting their practical applications. Enhancing model performance without increasing network par...
Abstract: Objective Image denoising aims to reduce unwanted noise in images, which has been a long-standing issue in imaging science. Noise significantly degrades image quality, affecting their use in applications such as medical imaging, remote sensing, and i...