- IoT and Edge/Fog Computing
- Vehicular Ad Hoc Networks (VANETs)
- Blockchain Technology Applications and Security
- Cooperative Communication and Network Coding
- Caching and Content Delivery
- Interconnection Networks and Systems
- Age of Information Optimization
- Parallel Computing and Optimization Techniques
- Digital Transformation in Industry
- Embedded Systems Design Techniques
- Cloud Computing and Resource Management
- Software-Defined Networks and 5G
- Traffic Prediction and Management Techniques
- Context-Aware Activity Recognition Systems
Beijing City University
2024-2025
Beijing University of Technology
2023
FZI Research Center for Information Technology
2002
In the current mobile edge computing (MEC) system, user dynamics, diversity of applications, and heterogeneity services have made cooperative service caching task offloading decision increasingly important. Service a naturally hierarchical structure, thus, reinforcement learning (HRL) can be used to effectively alleviate dimensionality curse in it. However, traditional HRL algorithms are designed for short-term missions with sparse rewards, while existing proposed MEC lack delicate coupling...
PARAGON provides a platform for hardware-software partitioning systems specified in the C++ language. In this paper, we are going to introduce emphasizing how synchronization and communication among used processors built during after partitioning. The partitioned specification consists of multiprocessors communicating with abstract methods. It is encapsulated processor classes. Built-in modelled by predefined class objects. can be compiled directly thus makes it easy execute simulation....
Concurrent multipath transmission combining FEC is an effective approach to achieve ultra-reliable low latency communication in modern network. Rate allocation algorithm which distributing packets over multiple parallel paths plays a critical role this architecture. However, traditional heuristic becomes less applicable due great computational burdens and increasing demands for real-time. In paper, we propose deep reinforcement learning based NeuroCMT solve problem. Moreover, order deal with...
As an essential concept and technology, the Industrial Internet of Things (IIoT) is a feasible way for advancement industrial digitization, networking intelligence. However, it brings serious security privacy risks to data. Blockchain technology can address into IIoT effectively, but there are few nonnegligible questions in current researches: 1) The scalability conventional blockchain system extremely limited, making unable handle rapid uploading massive data IIoT. 2) large-scale nature...