- Indoor and Outdoor Localization Technologies
- Energy Efficient Wireless Sensor Networks
- Underwater Vehicles and Communication Systems
- Distributed Sensor Networks and Detection Algorithms
- Target Tracking and Data Fusion in Sensor Networks
- Context-Aware Activity Recognition Systems
- China's Ethnic Minorities and Relations
- Advanced Wireless Communication Technologies
- Advanced Computational Techniques and Applications
- Security in Wireless Sensor Networks
- Hand Gesture Recognition Systems
- Industrial Technology and Control Systems
- Advanced Decision-Making Techniques
- Distributed Control Multi-Agent Systems
- Comparative and International Law Studies
- Wireless Networks and Protocols
- Millimeter-Wave Propagation and Modeling
- Metaheuristic Optimization Algorithms Research
- Business Strategy and Innovation
- Data Stream Mining Techniques
- Protein Hydrolysis and Bioactive Peptides
- Phytoestrogen effects and research
- Privacy-Preserving Technologies in Data
- Mobile Agent-Based Network Management
- Advanced Clustering Algorithms Research
Network Technologies (United States)
2024
University of South China
2007-2024
Massachusetts Institute of Technology
2017-2024
Tsinghua–Berkeley Shenzhen Institute
2024
Tsinghua University
2018-2024
Shenyang University of Technology
2023-2024
Xiamen University
2007-2023
Sichuan University
2023
China Agricultural University
2021
Nanjing University of Aeronautics and Astronautics
2021
Achieving accurate location-awareness in wireless networks requires integrated sensing and communication (ISAC), where optimization, signal processing, data fusion are performed under a common framework. The efficiency of ISAC complex environments can be improved via the use reconfigurable intelligent surfaces (RISs). This paper introduces concept continuous surface (CIS) establishes fundamental limits RIS-aided systems, specifically, an localization system. In particular, this considers two...
In the era of Internet Things (IoT), efficient localization is essential for emerging mass-market services and applications. IoT devices are heterogeneous in signaling, sensing, mobility, their resources computation communication typically limited. Therefore, to enable location awareness large-scale networks, there a need efficient, scalable, distributed multisensor fusion algorithms. This article presents framework designing network navigation (NLN) IoT. Multisensor operation algorithms...
Location awareness is essential for enabling contextual services and improving network management in 5th generation (5G) beyond 5G (B5G) networks. This article provides an overview of the expanding opportunities offered by location wireless networks, discusses soft information (Sll-based approaches improved awareness, presents case studies conformance with 3rd Generation Partnership Project (3GPP) standardization European Telecommunications Standards Institute (ETSI). Results show that...
Location-awareness enables a variety of emerging applications on mobile devices. For indoor applications, desirable way obtaining real-time locations is by combining different sources positional information, such as the inertial measurements, ranging and map information with an infrastructure-free system that does not rely any customized hardware. These can be incorporated into paradigm network localization navigation (NLN). However, there still lacks applies insights NLN to effectively fuse...
Trust evaluation is an effective method to detect malicious nodes and ensure security in wireless sensor networks (WSNs). In this paper, efficient dynamic trust model (DTEM) for WSNs proposed, which implements accurate, efficient, by dynamically adjusting the weights of direct indirect parameters update mechanism. To achieve accurate evaluation, calculated considering multitrust including communication trust, data energy with punishment factor regulating function. The evaluated conditionally...
The Internet of Things (IoT) will seamlessly integrate a large number densely deployed heterogeneous devices and enable new location-aware services. However, fine-grained localization IoT is challenging as their computation communication resources are typically limited different may have qualities internal clocks mobility patterns. To address these challenges, we propose cooperative, scalable, time-recursive algorithm for network synchronization (NLS). Our based on time measurements supports...
Location information is critical for numerous applications, such as smart cities, autonomous vehicles, and Industry 4.0. In this article, we present the paradigm of holographic network localization navigation (NLN), namely NLN with radios. We describe enabled by reconfigurable intelligent surfaces (RISs), where phase responses RISs are controlled to create desirable electromagnetic (EM) environments wireless communications. Specifically, a mathematical model signal transmission reception in...
Environmental protection tax is an important tool for directing environmentally friendly growth in heavily polluting enterprises, but existing research has yet to provide consistent conclusions on whether and how environmental can promote green innovation industries. The paper uses a double difference model based data from Chinese listed companies industries 2012 2021 empirically investigate drives behavior of enterprises. findings show that the increases degree primarily through...
Integrated localization and communication (ILC) at millimeter wave (mmWave MMWAVEinit) frequencies will be a key enabler for providing accurate location information high data rate in beyond fifth generation (B5G) networks. This paper proposes transmission frame structure soft (SI)-based algorithm position-assisted communications. In accordance with B5G specifications, we consider multiple-input multiple-output (MIMO)-orthogonal frequency division multiplexing (OFDM) Theoretical limits are...
Wireless network localization (WNL) is a paradigm proposed recently for providing reliable location services. The performance highly dependent on the placement of nodes in network. In this paper, we study node problem networks. We first propose mathematical formulation problem. Such takes into account uncertainty position placed as well constraints region where can be deployed. Based formulation, near-optimal algorithm, and present an upper bound gap between its with that optimal strategy....
Location-aware networks enable new services and applications in fields such as autonomous driving, smart cities, the Internet-of-Things. Network localization navigation (NLN) is a recently proposed paradigm for accurate ubiquitous without need extensive infrastructure. In NLN, devices form an interconnected network purpose of cooperatively localizing one another. This paper introduces Peregrine, system that combines real-time distributed NLN algorithms with ultra-wideband (UWB) sensing...
Distributed learning is an important task in emerging applications such as localization and navigation, Internet-of-Things, autonomous vehicles. This paper establishes a theoretical framework for states that evolve real time over networks. Specifically, each agent node the network aims to infer time-varying state decentralized manner by using node's local observations messages received from other nodes within its communication range. As result, inference accuracy of significantly affected...
Entangled quantum states serve as important resources in communication, computing, and sensing. Creating entangled between remote nodes is referred to entanglement establishment (REE). REE typically consists of three types operations: generation, distillation, swapping. By carefully designing the sequence describing order these operations, this paper investigates a repeater chain under requirement that fidelity established entanglements be above desired threshold. Specifically, derives an...
Entanglement is crucial for many applications such as quantum computing, sensing, and communication. Establishment of entanglement between remote nodes, referred to establishment (REE), a key element the internet. This paper develops theoretical framework establishing high-fidelity two nodes repeater chain via generation, distillation, swapping operations. In particular, an upper bound on optimal REE rate under minimum fidelity requirements established, policy that achieves asymptotically...
Location-awareness using wireless signals is a key enabler for numerous emerging applications. Inspired by the recently proposed soft information (SI)-based localization, this paper develops localization algorithm based on estimates of channel impulse response (CIR), which inherently contains position information. We propose delay-origin uncertainty model describing conditional distribution delays in CIR given node positions. A scalable designed belief propagation (BP) factor graph that...
Abstract Due to the large number of students in a typical classroom and crowded seating, most features student posture are often obscured, making it difficult balance accuracy identifying postures with computational efficiency. To solve this issue, novel recognition method is proposed. First, recognize poses multiple classroom, we use you-only-look-once (YOLOv3) algorithm for object detection retrain detect human objects that hunching on table, creating pose estimation network. Next, improve...
Distributed learning is crucial for many applications such as localization and tracking, autonomy, crowd sensing. This paper investigates communication-efficient distributed of time-varying states over networks. Specifically, the considers a network nodes that infer their current in decentralized manner using observations obtained via local sensing messages noisy inter-node communications. The derives necessary condition terms communication capabilities boundedness error time. compared with...
This paper studies the performance test in big data application. The existing testing technology is not suitable for proposed testing. provided goal analysis, design, load design character different application could be supported to consider specific multiple method under this framework. used some applications and proved effective.