21 Papers
44 Citations
Mingkai Chen is an academic researcher from Nanjing University of Posts and Telecommunications. The author has contributed to research in topics: Computer science & Cloud computing. The author has an hindex of 5, co-authored 6 publications.
Chat about Author
Papers
A Computing and Content Delivery Network in the Smart City: Scenario, Framework, and Analysis
TL;DR: This article proposes a novel network framework based on content delivery and computing deployment in order to make the network smart and clever and introduces an optimal resource allocation strategy including multiple cache and computational capability for user devices, MEC cloud, and macrocell cloud.
36
In-network Caching for ICN-based IoT (ICN-IoT): A Comprehensive Survey
TL;DR: In this article , the authors present the conventional caching decision policies and replacement policies which could be adopted to mitigate the aforementioned challenges, e.g., reducing IoT traffic, saving energy, reducing data retrieval latency.
36
Interference Mitigation Based on Optimal Modes Selection Strategy and CMA-MIMO Equalization for OAM-MIMO Communications
TL;DR: This paper proposes an OAM-MIMO communication scheme to employ the potential of both multiplexing methods and indicates that the combination of these two interference mitigation methods can guarantee the communication quality when pursuing high-speed communications.
17
Multimodal fusion recognition for digital twin
TL;DR: Wang et al. as mentioned in this paper proposed a multimodal fusion network that combines two modalities, visual and haptic, for surface material recognition and achieved 99.42% classification accuracy while reducing complexity.
10
Analysis and Scheduling in a 5G Heterogeneous Content Delivery Network
TL;DR: A novel resource selection and scheduling algorithm satisfying the signal-to-interference-plus-noise ratio and signal- ToI ratio criteria and the optimal transmission link selections and scheduling strategy for the three-tier heterogeneous network in order to reasonably allocate restricted resources is proposed.
9