Alternatives and similar repositories for veins_app

Users that are interested in veins_app are comparing it to the libraries listed below

• CarolinGao12 / Vehicular_Edge_Computing_Network
  ☆15Updated 6 years ago
• lovely-necromancer / Edge_Cache_Sim
  NDN caching simulator for edge computing using python
  ☆21Updated 3 years ago
• AnimalOfCoder / DQN
  DQN for 5G RAN Slicing
  ☆15Updated 4 years ago
• sinaebrahimi / energy-efficient-slicing
  Matlab code for the simulation of my paper entitled "Joint Resource and Admission Management for Slice-enabled Networks"
  ☆35Updated 3 years ago
• Mauriyin / V2V-Groupcast
  ☆23Updated 3 years ago
• cojimawong1029 / VeinsBaseSimulationforEC
  My Simulation platform for edge computing based on Veins which includes SUMO and OMNet++
  ☆14Updated 5 years ago
• revenol / WPMEC
  Deep Neural Network for Computation Rate Maximization in Wireless Powered Mobile-Edge Computing System
  ☆55Updated 6 years ago
• liuqiangus / DeepSlicing
  Source Codes for: DeepSlicing: Deep Reinforcement Learning Assisted Resource Allocation for Network Slicing
  ☆58Updated 4 years ago
• lkatsikas / NS3-v2v
  Vehicle to vehicle communication implementation based on NS3-Simulator open source project. Clustering algorithm implementation for VANET…
  ☆25Updated 3 years ago
• qqins / GPSR
  Greedy Perimeter Stateless Routing (GPSR) implement on NS3 platform
  ☆20Updated 7 years ago
• jjalcaraz-upct / network-slicing
  Network slicing gym environment and a model-based RL agent with kernels
  ☆52Updated 6 months ago
• jungyeonkoh / IoV-Computation-Offloading
  ☆23Updated 3 years ago
• Gan-x-j / MEC-offloading-by-RL
  ☆15Updated 5 years ago
• BobLee666 / ECTS
  edge computing task schedule
  ☆15Updated 6 years ago
• yuliu3 / DRL-TOBS
  Codes for the paper titled Online Joint Task Offloading and Resource Management in Heterogeneous Mobile Edge Environments.
  ☆8Updated last year
• UdayDesh / RL-NS3Gym
  Reinforced Learning for NS3 in Cognitive Radio spectrum selection
  ☆11Updated 3 years ago
• avranasa / DRL_Scheduling_Communications
  Contains the code related to our paper on scheduling and resource allocation in wireless communications.
  ☆41Updated 7 months ago
• CooperLWang / Learn-CompressCSI-RA-V2X-Code
  Code for Learn to Compress CSI and Allocate Resources in Vehicular Networks
  ☆41Updated 4 years ago
• qlt315 / JO-CDSD
  Evaluation code of our paper in IEEE Transactions on Mobile Computing: ''Joint Optimization of Base Station Clustering and Service Cachin…
  ☆48Updated 2 months ago
• jinhk7 / moblie-edge-computing
  ☆18Updated 2 years ago
• apressas / omnet_qmac_vanet
  Simulation files for Q-Learning MAC +CCE implementation for Veins VANET framework.
  ☆12Updated 4 years ago
• HL1122 / Resource-Allocation-D2D
  Resource allocation for Device-to-Device (D2D) communications using deep reinforcement learning.
  ☆35Updated 5 years ago
• qiongwu86 / URLLC-Awared-Resource-Allocation-for-Heterogeneous-Vehicular-Edge-Computing
  ☆35Updated 2 years ago
• VasilikiZarkadoula / Diploma_Thesis-Network_Slicing_in_MEC_systems
  This is a repository for my Diploma Thesis on Wireless Communications at Aristotle University of Thessaloniki
  ☆28Updated 2 years ago
• Wuhaocheng123 / Computation-Offloading-Scheme-for-Modular-Exponentiation-in-Internet-of-Vehicles
  车联网环境下的计算卸载方案，共包含4方实体：RSU、Smart Car、Service Organization、MEC Server
  ☆10Updated last year
• yeonduing / DRL-based-MEC
  Mobile Edge Computing Server based on Deep Reinforcement Learning (One-on-one)
  ☆14Updated 5 years ago
• sheydashz / resource-allocation-in-sliced-virtual-networks
  ☆11Updated 4 years ago
• charyco / A-Social-Relationship-Awareness-Based-Dependent-Task-Offloading-Algorithm-for-Mobile-Edge-Computing
  This study presents a task offloading algorithm that considers social relationships, task dependencies, energy consumption, and latency. …
  ☆19Updated 10 months ago
• HuangChen24 / HuangChen24.edge
  Edge computing
  ☆30Updated 6 years ago
• Zakir1971 / Deep-Reinforcement-Learning-Python
  Deep Reinforcement Learning Based Dynamic Resource Allocation in 5G Ultra-Dense Networks
  ☆31Updated 3 years ago