alexis-anzaldo / Deep-Reinforcement-Learning-for-resource-allocation-in-wireless-networks
☆33Updated last year
Alternatives and similar repositories for Deep-Reinforcement-Learning-for-resource-allocation-in-wireless-networks:
Users that are interested in Deep-Reinforcement-Learning-for-resource-allocation-in-wireless-networks are comparing it to the libraries listed below
- Code for the paper On-Policy vs. Off-Policy Deep Reinforcement Learning for Resource Allocation in Open Radio Access Network☆33Updated 3 years ago
- Contains the code related to our paper on scheduling and resource allocation in wireless communications.☆40Updated 5 months ago
- Code for Globecom2020 paper: Resource Allocation based on Graph Neural Networks in Vehicular Communications☆56Updated last year
- Deep Reinforcement Learning Based Dynamic Resource Allocation in 5G Ultra-Dense Networks☆31Updated 3 years ago
- Mobility-aware Dynamic Joint Power Control and Resource Allocation for D2D underlaying cellular networks☆15Updated 4 years ago
- Resource allocation for Device-to-Device (D2D) communications using deep reinforcement learning.☆34Updated 4 years ago
- 20220427-use DQN and DDPG to allocation the NOMA resource☆57Updated 2 years ago
- ☆19Updated 2 years ago
- part code of paper entitled "battery-constrained federated edge learning in uav-enabled iot for b5g/6g networks"☆21Updated 3 years ago
- ☆28Updated 9 months ago
- Deep Reinforcement Learning and BCD to solve phase shift and resource allocation of RIS and RSU☆26Updated 4 years ago
- ☆25Updated 10 months ago
- ☆11Updated 4 years ago
- ☆35Updated 2 years ago
- Towards Heterogeneous Environment: Lyapunov-orientated ImpHetero Reinforcement Learning for Task Offloading☆24Updated 2 years ago
- ☆18Updated 3 years ago
- ☆26Updated 3 years ago
- Hybrid network simulation with base station and satellite. It enables comparing D2D caching algorithms.☆20Updated 5 years ago
- code☆13Updated 2 years ago
- Evaluation code and mathematic details of our paper in IEEE Communications Magazine: ''When the User-Centric Network Meets Mobile Edge Co…☆51Updated last month
- D3QN framework for distributed resource allocation☆16Updated 9 months ago
- Evaluation code of our paper in IEEE Transactions on Mobile Computing: ''Joint Optimization of Base Station Clustering and Service Cachin…☆49Updated last month
- Deep Reinforcement Learning (DRL) based Dynamic Spectrum Access (DSA) using Reservoir Computing (RC) (In IoT-J-2019)☆43Updated 4 years ago
- Evaluation code of our paper in IEEE Transactions on Vehicular Technology: ''Joint Transmission and Resource Optimization in NOMA-assiste…☆71Updated last month
- Codes for the paper titled Online Joint Task Offloading and Resource Management in Heterogeneous Mobile Edge Environments.☆8Updated last year
- ☆19Updated 2 years ago
- Deep Reinforcement Learning Environments for User-Centric Mobile Edge Computing☆26Updated last year
- RL-Wireless: Reinforcement learning-based resource allocation in wireless networks☆31Updated 5 months ago
- ICC 2022 submit paper code☆26Updated last year
- ☆11Updated last year