Alternatives and similar repositories for Anti-jamming-Channel-Allocation-in-UAV-enabled-Edge-Computing-A-Stackelberg-Game-Approach:

Users that are interested in Anti-jamming-Channel-Allocation-in-UAV-enabled-Edge-Computing-A-Stackelberg-Game-Approach are comparing it to the libraries listed below

• zhuzhongzhi-50 / MEC_RL_UAV
  ☆24Updated last year
• narendra-1905 / Major_project
  JOINT RESOURCE ALLOCATION AND TRAJECTORY OPTIMIZATION FOR MULTI-UAV-ASSISTED MULTI-ACCESS MOBILE EDGE COMPUTING
  ☆26Updated last year
• sameena3 / UAV_Trajectory_main
  Welcome to our open-source project focused on revolutionizing Mobile Edge Computing (MEC) with the power of multiple Unmanned Aerial Vehi…
  ☆33Updated last year
• saugat76 / uav_nw_maql_connectivity
  Use of reinforcement learning and deep reinforcement learning algorithms to optimize the UAV based cellular network for higher throughput…
  ☆20Updated last month
• liuchunhui2134 / Resource-allocation-and-route-plannig-for-UAVs
  ☆24Updated 2 years ago
• Phuong86 / uav-deep-q
  This is the source code using deep Q learning for calculate UAV resource allocation
  ☆33Updated 3 years ago
• TD3-ALGORITHM / TD3-APPROACH
  A TD3 APPROACH IN OFFLOADING TRAFFIC FOR UAV-ASSISTED MOBILE EDGE COMPUTING
  ☆34Updated last year
• Shalini-lodhi / Multi_UAV_Mobile_Edge_Computing
  Mobile edge computing networks based on Unmanned Aerial Vehicles
  ☆40Updated 3 years ago
• ABDOwzz / multi-uav-mec
  Code implementation of our paper "Energy-Efficient Multi-UAV-Enabled Multiaccess Edge Computing Incorporating NOMA"
  ☆30Updated 2 years ago
• ZelinJi / Resource_allocation_D3QN_framework
  D3QN framework for distributed resource allocation
  ☆16Updated 9 months ago
• Jiangzero / Mobile-Edge-Computing-UAV-trajectory
  ☆24Updated 2 years ago
• signetlabdei / aoi_edge_computing
  Code for the paper "Age of Information Analysis in Edge Computing Servers"
  ☆19Updated last year
• HaiboMei / UAV-MEC-DRL
  ☆48Updated 4 years ago
• qlt315 / NOMA-MEC-IoVT
  Evaluation code of our paper in IEEE Transactions on Vehicular Technology: ''Joint Transmission and Resource Optimization in NOMA-assiste…
  ☆71Updated last month
• xflorescStaff / MAB-based-UAV-positioning
  Repository of code for journal paper "Positioning and power optimization for UAV-assisted networks in the presence of eavesdroppers: A mu…
  ☆19Updated 2 years ago
• chenbq / ICC_2022_CBQ
  ICC 2022 submit paper code
  ☆26Updated last year
• Xy0922X / UAV-RIS-MEC
  uav-mec
  ☆14Updated last year
• clear430 / UAV-MEC-Re
  对一篇论文的复现尝试
  ☆21Updated 4 years ago
• sumit521 / Profit_Optimization_MEC
  ☆21Updated last year
• saugat76 / uav_nw_madql_connectivity_tensorflow
  Allocation of the resource blocks to the ground user for distributed UAV based cellular system with only the transfer of reward values. A…
  ☆15Updated 2 years ago
• jds311 / Deep-Reinforcement-Learning-for-Resource-Allocation-in-V2V-Communication
  ☆18Updated 3 years ago
• xiaogaogaoxiao / UAV_relay_DQN
  论文UAV relay in VANETs against smart jamming with reinforcement learning DQN版本
  ☆25Updated 3 years ago
• qlt315 / UCMEC_env
  Deep Reinforcement Learning Environments for User-Centric Mobile Edge Computing
  ☆26Updated last year
• chenbq / CAVDN
  ☆32Updated last year
• GZHU-DVL / tau-epsilon-greedy-RL
  The code for the article "(\tau,\epsilon)-GREEDY REINFORCEMENT LEARNING FOR ANTI-JAMMING WIRELESS COMMUNICATIONS"
  ☆27Updated 4 years ago
• qiongwu86 / DDPG-RIS-MADDPG-POWER
  ☆28Updated 9 months ago
• HL1122 / Resource-Allocation-D2D
  Resource allocation for Device-to-Device (D2D) communications using deep reinforcement learning.
  ☆34Updated 4 years ago
• qlt315 / UCMEC_COMMAG
  Evaluation code and mathematic details of our paper in IEEE Communications Magazine: ''When the User-Centric Network Meets Mobile Edge Co…
  ☆51Updated last month
• tranlenam / Task-Offloading-MEC-NOMA
  Simulation code for"A Max-Min Task Offloading Algorithm for Mobile Edge Computing Using Non-Orthogonal Multiple Access," IEEE Trans. Veh.…
  ☆31Updated last year
• DreamweaverU / DRL-HAPS-UAV-Enabled-HeNets
  HAPS-UAV-Enabled Heterogeneous Networks: A Deep Reinforcement Learning Approach
  ☆11Updated last year