Code of Paper "Joint Task Offloading and Resource Optimization in NOMA-based Vehicular Edge Computing: A Game-Theoretic DRL Approach", JSA 2022.
A Realistic Mobile Edge Computing environment; with conditions for deadline and energy Energy-Constrained
A lightweight framework that enables serverless users to reduce their bills by harvesting non-serverless compute resources such as their VMs, on-premise servers, or personal computers.
Simulation code for "A max-min task offloading algorithm for mobile edge computing using non-orthogonal multiple access," by V. Kumar, M. F. Hanif, M. Juntti and L. -N. Tran, published in IEEE Transactions on Vehicular Technology, vol. 72, no. 9, pp. 12332-12337, Sept. 2023, doi: 10.1109/TVT.2023.3263791.
本项目是我发表于期刊 Expert Systems with Applications 的论文《Energy-efficient mechanism of task offloading and resource allocation for hierarchical MEC in UAV-assisted mmWave IABN》的官方代码实现。我们提出了一种基于深度学习的方法，旨在最小化复杂的无人机辅助边缘计算网络中的系统能耗，同时保证服务质量。
Mission Assignment and Task Offloading in Open RAN-based ITS This project provides the implementation of metaheuristic and deep reinforcement learning (DRL) algorithms for optimizing mission assignment and task offloading in Open RAN-enabled Intelligent Transportation Systems (ITS).
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