output
20052025
most citedDelay-aware and Energy-Efficient Computation Offloading in Mobile Edge Computing Using Deep Reinforcement Learning

239 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing cs.NIShow all

4 papers · 1 filter

cs.NI2021★ 78 cited

D3PG: Dirichlet DDPG for Task Partitioning and Offloading with Constrained Hybrid Action Space in Mobile Edge Computing

Laha Ale, Scott A. King, Ning Zhang +2

Mobile Edge Computing (MEC) has been regarded as a promising paradigm to reduce service latency for data processing in the Internet of Things, by provisioning computing resources a…

cs.NI2021★ 21 cited

Spatio-Temporal Bayesian Learning for Mobile Edge Computing Resource Planning in Smart Cities

Laha Ale, Ning Zhang, Scott A. King +1

A smart city improves operational efficiency and comfort of living by harnessing techniques such as the Internet of Things (IoT) to collect and process data for decision making. To…

cs.NI2021★ 239 cited

Delay-aware and Energy-Efficient Computation Offloading in Mobile Edge Computing Using Deep Reinforcement Learning

Laha Ale, Ning Zhang, Xiaojie Fang +3

Internet of Things (IoT) is considered as the enabling platform for a variety of promising applications, such as smart transportation and smart city, where massive devices are inte…

cs.NI2017★ 71 cited

Self-Sustaining Caching Stations: Towards Cost-Effective 5G-Enabled Vehicular Networks

Shan Zhang, Ning Zhang, Xiaojie Fang +3

In this article, we investigate the cost-effective 5G-enabled vehicular networks to support emerging vehicular applications, such as autonomous driving, in-car infotainment and loc…