Minglei Tong

ORCID: 0000-0003-0915-5992
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About
Contact & Profiles
Research Areas
  • Satellite Communication Systems
  • IoT and Edge/Fog Computing
  • Image and Signal Denoising Methods
  • Advanced Adaptive Filtering Techniques
  • Wireless Body Area Networks
  • Advanced MIMO Systems Optimization
  • UAV Applications and Optimization
  • Sparse and Compressive Sensing Techniques
  • Age of Information Optimization
  • IoT Networks and Protocols

Beijing University of Posts and Telecommunications
2020-2023

Hainan University
2017

With the development of satellite-terrestrial network (STN), mobile edge computing (MEC) servers are deployed at low orbit earth (LEO) satellites to provide services for user devices (UEs) in areas without terrestrial coverage. There is symmetry between satellite networks and networks, but there asymmetry their resources. Computing resources satellites’ MEC may not be enough. The cooperation promising, where a migrates tasks base station (BS) an adjacent area, thus utilizing BS’s server....

10.3390/sym14030564 article EN Symmetry 2022-03-12

Mobile edge computing (MEC)-enabled satellite-terrestrial networks (STNs) can provide task services for Internet of Things (IoT) devices. However, since some applications' tasks require huge amounts resources, sometimes the resources a local satellite's MEC server are insufficient, but neighboring satellites' servers redundant. Therefore, we investigated inter-satellite cooperation in MEC-enabled STNs. First, designed system model STN architecture, where satellite and satellites assist IoT...

10.3390/s23020668 article EN cc-by Sensors 2023-01-06

With the emergence of computation-intensive mobile applications in wireless networks, limited computation capacities some devices (MDs) are not able to satisfy service requirements and backhaul cellular base station (BS) is overloaded. To solve these problems, combination edge (MEC) technology device-to-device (D2D) great concern, which makes MDs have more chances offload tasks network edge, instead sending them remote Clouds, as well load reduced effectively. There several recent studies on...

10.1109/icccworkshops49972.2020.9209940 article EN 2020-08-09
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