A5014928826- Interconnection Networks and Systems
- Software-Defined Networks and 5G
- Caching and Content Delivery
- Graph Theory and Algorithms
- Cloud Computing and Resource Management
- Telecommunications and Broadcasting Technologies
- Millimeter-Wave Propagation and Modeling
- Advanced Wireless Communication Techniques
- Network Traffic and Congestion Control
- Image and Video Quality Assessment
- Educational Technology and Assessment
- Advanced MIMO Systems Optimization
- Integrated Energy Systems Optimization
- Advanced Wireless Network Optimization
- AI and Big Data Applications
- Online Learning and Analytics
- Power System Reliability and Maintenance
- Wireless Communication Networks Research
- Network Security and Intrusion Detection
- Educational Technology and Pedagogy
- Multimedia Communication and Technology
Tencent (China)
2023-2024
Taiyuan University of Technology
2023
China West Normal University
2020-2022
Beijing University of Posts and Telecommunications
2007-2021
In today's virtualized cloud, containers and virtual machines (VMs) are prevailing methods to deploy applications with different tenant requirements.However, these requirements at odds the resource allocation capabilities of conventional networking stacks in wide-area networks (WANs).In particular, existing WAN traffic engineering (TE) systems granularity aggregated flows not designed cater each individual flow.In this paper, we advocate for a radical new approach extend TE involve millions...
This paper puts forward two novel user-grouping algorithms for grouped MC-CDMA systems. The adaptive assignment plays an important role link quality. We formulate the capacity-maximizing problem of and analysis optimal criterion it. derived has a similar form with signal to noise plus interference (SINR), unassigned power included. Thus leads unpractical usage. then investigate user's equivalent SINR minimum mean square error (MMSE) detection serving as criterion, propose kinds algorithms....
Ultra-dense network (UDN) is considered to be the key technology for fifth generation (5G) networks provide high capacity. However, intensive deployment of femtocells bring severe inter-cells interference (ICI), which greatly limits performance and capacity gain system can obtain. Therefore, solve this problem obtain accurate information through modeling. In fact, wireless big data generated during operation contains rich information. Based on this, paper proposes an uplink identification...
Therefore, in the teaching process of developing PHP business website development courses, students are gradually guided to use language complete an online examination system with relatively functions. By analyzing current situation and existing problems teachers' quality higher normal schools, it is necessary further recognize cultivate innovative talents 21st century. The requirements for teachers very urgent practical problem improving their own combine traditional evaluation methods...
As the solitary inter-domain protocol, BGP plays an important role in today's Internet. Its failures threaten network stability and will usually result large-scale packet losses. Thus, non-stop routing (NSR) capability that protects connectivity from being disrupted by various failures, is critical to any Autonomous System (AS) operator. Replicating underlying TCP connection status key realizing NSR. But existing NSR solutions, which heavily rely on OS kernel modifications, have become...
A new approach is suggested to assess the reliability of an electricity-gas coupling system (EGCS) that considers failure correlation, in order make evaluation results more practical. To deal with nonlinear problem transient equations natural gas system, method characteristics (MOC) employed linearize it and participate evaluation. Comparing content proposed this article traditional assessment process, indicate considering correlation has a significant influence on results.
To solve the problems existing in process of teaching quality evaluation and to improve accuracy undergraduate evaluation, a model based on data mining algorithm is designed. Aiming at factors such as large amount be mined which easily affected, improved Apriori partition applied model. Through collection preprocessing, database suitable for association rule established. Then we can find out key affect according analysis rules, so provide strong basis decision-making management. The results...