IntelligentNetworkingLAB / LEO-Satellite-Coverage-Maximization-in-6G-Sub-THz-Networks-by-MAPPO-DRLLinks
☆32Updated 2 years ago
Alternatives and similar repositories for LEO-Satellite-Coverage-Maximization-in-6G-Sub-THz-Networks-by-MAPPO-DRL
Users that are interested in LEO-Satellite-Coverage-Maximization-in-6G-Sub-THz-Networks-by-MAPPO-DRL are comparing it to the libraries listed below
Sorting:
- ☆34Updated 3 years ago
- ☆32Updated last year
- codes for "Cooperative Caching, Rendering and Beamforming for RIS-assisted Wireless Virtual Reality Networks"☆20Updated 2 years ago
- Deep Reinforcement Learning and BCD to solve phase shift and resource allocation of RIS and RSU☆31Updated 5 years ago
- Mobility-aware Dynamic Joint Power Control and Resource Allocation for D2D underlaying cellular networks☆15Updated 5 years ago
- simulation for https://ieeexplore.ieee.org/document/9434412☆28Updated 3 years ago
- ☆27Updated 2 years ago
- Optimizing resource allocation with deep reinforcement learning☆42Updated 5 years ago
- A general framework for NOMA-MEC offloading☆57Updated 4 years ago
- Simulation code for "A max-min task offloading algorithm for mobile edge computing using non-orthogonal multiple access," by V. Kumar, M.…☆31Updated last year
- ☆31Updated last year
- ☆34Updated last year
- ICC 2022 submit paper code☆27Updated 2 years ago
- Distributed Two-tier DRL Framework for Cell-Free Network: Association, Beamforming and Power Allocation☆55Updated 6 months ago
- Evaluation code of our paper in IEEE Transactions on Vehicular Technology: ''Joint Transmission and Resource Optimization in NOMA-assiste…☆80Updated 10 months ago
- D3QN framework for distributed resource allocation☆18Updated last year
- ☆19Updated 4 years ago
- UAV-based Cellular-Communication: Multi-Agent Deep Reinforcement Learning for Interference Management☆43Updated 2 years ago
- UAV－IRS☆19Updated 2 years ago
- IntelligentNetworkingLAB / Optimize-Deployment-and-Minimize-Data-Processing-Time-based-on-Reinforcement-learning-in-UAV-MEC-env☆16Updated 3 years ago
- starrysealuck / Power-Allocation-of-Energy-Harvesting-Cognitive-Radio-Based-on-Deep-Reinforcement-Learningpaper code☆11Updated 3 years ago
- ☆31Updated 3 years ago
- Code implementation of our paper "Energy-Efficient Multi-UAV-Enabled Multiaccess Edge Computing Incorporating NOMA"☆39Updated 3 years ago
- JOINT RESOURCE ALLOCATION AND TRAJECTORY OPTIMIZATION FOR MULTI-UAV-ASSISTED MULTI-ACCESS MOBILE EDGE COMPUTING☆34Updated 2 years ago
- Resource allocation for Device-to-Device (D2D) communications using deep reinforcement learning.☆38Updated 5 years ago
- Joint Task Offloading and Radio Resource Management in Stochastic MEC Systems, IEEE Transactions on Communications, 2024☆31Updated 2 years ago
- A deep reinforcement learning based approach is used to allocate downlink power for multi-cell wireless system.☆25Updated 5 years ago
- ☆39Updated 4 years ago
- A TensorFlow implementation for a downlink NOMA resource-allocation problem: optimizing transmit power to maximize sum rate using DQN (Ca…☆34Updated 3 years ago
- Joint spectrum and power allocation for cognitive capacity harvested network with using DQN learning method☆24Updated 6 years ago