A deep learning approach for mobility-aware and energy-efficient resource allocation in MEC

Z Ali, S Khaf, ZH Abbas, G Abbas, F Muhammad… - IEEE …, 2020 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) has emerged as an alternative to cloud computing to meet
the latency and Quality-of-Service (QoS) requirements of mobile devices. In this paper, we …
被引用次数：29 相关文章

[引用][C] A Deep Learning Approach for Mobility-Aware and Energy-Efficient Resource Allocation in MEC

Z Ali, S Khaf, ZH Abbas, G Abbas… - IEEE …, 2020 - ui.adsabs.harvard.edu
A Deep Learning Approach for Mobility-Aware and Energy-Efficient Resource Allocation in
MEC - NASA/ADS Now on home page ads icon ads Enable full ADS view NASA/ADS A …
[PDF] academia.edu

[PDF][PDF] A Deep Learning Approach for Mobility-Aware and Energy-Efficient Resource Allocation in MEC

Z ALI, S KHAF, ZHAQ ABBAS - academia.edu
ABSTRACT Mobile Edge Computing (MEC) has emerged as an alternative to cloud
computing to meet the latency and Quality-of-Service (QoS) requirements of mobile devices …
[PDF] academia.edu

[PDF][PDF] A Deep Learning Approach for Mobility-Aware and Energy-Efficient Resource Allocation in MEC

Z ALI, S KHAF, ZHAQ ABBAS - academia.edu
ABSTRACT Mobile Edge Computing (MEC) has emerged as an alternative to cloud
computing to meet the latency and Quality-of-Service (QoS) requirements of mobile devices …