Energy Efficient Computation Offloading in Aerial Edge Networks With Multi-Agent Cooperation

no code implementations • 14 Feb 2023 • Wenshuai Liu, Bin Li, Wancheng Xie, Yueyue Dai, Zesong Fei

With the high flexibility of supporting resource-intensive and time-sensitive applications, unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) is proposed as an innovational paradigm to support the mobile users (MUs).

Edge-computing Scheduling

Deep Reinforcement Learning and Permissioned Blockchain for Content Caching in Vehicular Edge Computing and Networks

no code implementations • 17 Nov 2020 • Yueyue Dai, Du Xu, Ke Zhang, Sabita Maharjan, Yan Zhang

In this paper, we integrate DRL and permissioned blockchain into vehicular networks for intelligent and secure content caching.

Edge-computing Reinforcement Learning (RL)

Edge Intelligence for Energy-efficient Computation Offloading and Resource Allocation in 5G Beyond

no code implementations • 17 Nov 2020 • Yueyue Dai, Ke Zhang, Sabita Maharjan, Yan Zhang

In this paper, we utilize DRL to design an optimal computation offloading and resource allocation strategy for minimizing system energy consumption.

Deep Reinforcement Learning for Stochastic Computation Offloading in Digital Twin Networks

no code implementations • 17 Nov 2020 • Yueyue Dai, Ke Zhang, Sabita Maharjan, Yan Zhang

Then, we formulate the stochastic computation offloading and resource allocation problem to minimize the long-term energy efficiency.

reinforcement-learning Reinforcement Learning (RL)