A5023504868- Vehicular Ad Hoc Networks (VANETs)
- Advanced MIMO Systems Optimization
- IoT and Edge/Fog Computing
- Privacy-Preserving Technologies in Data
- Power Line Communications and Noise
- Mobile Ad Hoc Networks
- Energy Efficient Wireless Sensor Networks
- Age of Information Optimization
- Millimeter-Wave Propagation and Modeling
- Complex Systems and Time Series Analysis
- Soil Moisture and Remote Sensing
- Wireless Networks and Protocols
- Opportunistic and Delay-Tolerant Networks
- IoT Networks and Protocols
- Cooperative Communication and Network Coding
- Mobile Agent-Based Network Management
- Precipitation Measurement and Analysis
- Chaos control and synchronization
- Advanced Photonic Communication Systems
- Advanced Sensor and Control Systems
- Software-Defined Networks and 5G
- Brain Tumor Detection and Classification
- Full-Duplex Wireless Communications
- Advanced Algorithms and Applications
- Advanced Wireless Communication Techniques
Jiangnan University
2018-2025
Shanghai Sixth People's Hospital
2024
Shanghai Jiao Tong University
2024
Xidian University
2022-2024
Zhejiang Ocean University
2024
China Meteorological Administration
2011-2024
Institute of Engineering Thermophysics
2024
Chinese Academy of Sciences
2012-2024
University of Chinese Academy of Sciences
2020-2024
Zhuhai Fudan Innovation Research Institute
2024
The vehicular edge computing (VEC) can cache contents in different RSUs at the network to support real-time applications. In VEC, owing high-mobility characteristics of vehicles, it is necessary user data advance and learn most popular interesting for users. Since usually contains privacy information, users are reluctant share their with others. To solve this problem, traditional federated learning (FL) needs update global model synchronously through aggregating all users' local models...
Vehicles on the road exchange data with base station frequently through vehicle to infrastructure (V2I) communications ensure normal use of vehicular applications, where IEEE 802.11 distributed coordination function is employed allocate a minimum contention window (MCW) for channel access. Each may change its MCW achieve more access opportunities at expense others, which results in unfair communication performance. Moreover, key parameter privacy information and each not willing share it...
Vehicular edge computing (VEC) is a promising technology to support real-time vehicular applications, where vehicles offload intensive computation tasks the nearby VEC server for processing. However, traditional that relies on single communication cannot well meet requirement task offloading, thus heterogeneous integrating advantages of dedicated short-range communications (DSRC), millimeter-wave (mmWave) and cellular-based vehicle infrastructure (C-V2I) introduced enhance capacity. The...
Edge caching is a promising solution for next-generation networks by empowering units in small-cell base stations (SBSs), which allows user equipments (UEs) to fetch users' requested contents that have been pre-cached SBSs. It crucial SBSs predict accurate popular through learning while protecting personal information. Traditional federated (FL) can protect privacy but the data discrepancies among UEs lead degradation model quality. Therefore, it necessary train personalized local models...
Cluster-based hierarchical routing protocols play an essential role in decreasing the energy consumption of wireless sensor networks (WSNs). A low-energy adaptive clustering hierarchy (LEACH) has been proposed as application-specific protocol architecture for WSNs. However, without considering distribution cluster heads (CHs) rotation basis, LEACH will increase network. To improve efficiency WSN, we propose a novel modified this paper. The newly improved energy-efficient (IEE-LEACH)...
This paper studies performance modeling of the IEEE 802.11p enhanced distributed channel access (EDCA) mechanism and develops models to analyze EDCA mechanism. A 2-D Markov chain is first constructed model backoff procedure an category (AC) queue establish a relationship between transmission probability collision AC queue. Then, 1-D discrete-time contention period another Unlike most existing work, extended be infinite in under both saturated nonsaturated conditions. The two take into...
Vehicular edge computing (VEC) is envisioned as a promising approach to process the explosive computation tasks of vehicular user (VU). In VEC system, each VU allocates power partial through offloading and remaining local execution. During offloading, adopts multi-input multi-output non-orthogonal multiple access (MIMO-NOMA) channel improve spectrum efficiency capacity. However, condition uncertain due interference among VUs caused by MIMO-NOMA time-varying path loss mobility VU. addition,...
Vehicles in platoons need to process many tasks support various real-time vehicular applications. When a task arrives at vehicle, the vehicle may not due its limited computation resource. In this case, it usually requests offload other vehicles platoon for processing. However, when resources of all are insufficient, cannot be processed time through offloading platoon. Vehicular fog computing (VFC)-assisted can solve problem VFC which is formed by driving near Offloading delay an important...
In vehicular edge computing (VEC), some tasks can be processed either locally or on the mobile (MEC) server at a base station (BS) nearby vehicle. fact, are offloaded not, based status of vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) communication. this paper, device-to-device (D2D)-based V2V communication multiple-input multiple-output nonorthogonal multiple access (MIMO-NOMA)-based V2I considered. actual scenarios, channel conditions for MIMO-NOMA-based uncertain, task...
From the viewpoint of earth system science, this paper discusses observation capability second-generation Chinese polar-orbiting, sun-synchronous operational meteorological satellite systems, Fengyun-3 (FY-3), based on function and performance test results from FY-3D in orbit. The FY-3 series satellites have numerous remote sensing instruments a wide range imaging sounding electromagnetic spectrometers onboard. These can obtain reflectivity data for land surface, soil, vegetation, water...
With the development of Internet Vehicles, platooning strategy has been widely studied as potential approach to ensure safety autonomous driving. Vehicles in form platoon adopt 802.11p exchange messages through vehicle-to-vehicle (V2V) communications. When multiple platoons arrive at an intersection, leader vehicle each adjusts its movement characteristics that it can cross and thus following vehicles have adjust their accordingly. In this case, time-varying connectivity among leads...
In Sen and Matolak's earlier paper, 5-GHz-band vehicle-to-vehicle (V2V) channel models were presented for bandwidths of 5 10 MHz. this we provide additional tapped delay line 1, 20, 33.33, 50 MHz based upon the data used in paper. We tables parameters five types V2V classes also include example tap correlation coefficients. Root-mean-square spread values are summarized, as bandwidth which frequency takes 0.7 0.5. As with results from these should be useful designers future communication systems.
In this paper, a metasurface-based coupling reduction method is presented with the advantage of low profile for MIMO antenna array. Unlike other decoupling technologies, proposed metasurface loaded in same layer as coupled two-element patch antennas. Hence, decoupled array greatly reduced compared to that published arrays. design, two antennas short edge-to-edge distance approximately 0.06 λ are surrounded by period split ring resonator (SRR) elements. Next, prototypes fabricated; test...
Platooning strategy is an important part of autonomous driving technology. Due to the limited resource vehicles in platoons, mobile-edge computing (MEC) usually used assist platoons obtain useful information, increasing its safety. Specifically, adopt IEEE 802.11 distributed coordination function (DCF) mechanism transmit large amount data base station (BS) through vehicle-to-infrastructure (V2I) communications, where information can be extracted by edge server connected BS and then sent back...
On-ramp merging presents a critical challenge in autonomous driving, as vehicles from lanes need to dynamically adjust their positions and speeds while monitoring traffic on the main road prevent collisions. To address this challenge, we propose novel control scheme based reinforcement learning, which integrates lateral mechanisms. This approach ensures smooth integration of lane onto road, optimizing both fuel efficiency passenger comfort. Furthermore, recognize impact vehicle-to-vehicle...