jds311 / Deep-Reinforcement-Learning-for-Resource-Allocation-in-V2V-CommunicationLinks
☆18Updated 3 years ago
Alternatives and similar repositories for Deep-Reinforcement-Learning-for-Resource-Allocation-in-V2V-Communication
Users that are interested in Deep-Reinforcement-Learning-for-Resource-Allocation-in-V2V-Communication are comparing it to the libraries listed below
Sorting:
- ICC 2022 submit paper code☆27Updated last year
- ☆26Updated 3 years ago
- Mobility-aware Dynamic Joint Power Control and Resource Allocation for D2D underlaying cellular networks☆15Updated 4 years ago
- ☆26Updated 2 years ago
- ☆31Updated last year
- Evaluation code of our paper in IEEE Transactions on Vehicular Technology: ''Joint Transmission and Resource Optimization in NOMA-assiste…☆73Updated 4 months ago
- D3QN framework for distributed resource allocation☆18Updated last year
- code☆14Updated 2 years ago
- ☆36Updated 2 years ago
- Evaluation code of our paper in IEEE Transactions on Mobile Computing: ''Joint Optimization of Base Station Clustering and Service Cachin…☆49Updated 4 months ago
- ☆29Updated last year
- Resource allocation for Device-to-Device (D2D) communications using deep reinforcement learning.☆36Updated 5 years ago
- Deep Reinforcement Learning and BCD to solve phase shift and resource allocation of RIS and RSU☆27Updated 4 years ago
- Code for Globecom2020 paper: Resource Allocation based on Graph Neural Networks in Vehicular Communications☆58Updated last year
- Deep Reinforcement Learning Environments for User-Centric Mobile Edge Computing☆27Updated last year
- Simulation code for the paper "Resource Allocation in V2X Networks: From Classical Optimization to Machine Learning-based Solutions"☆18Updated last year
- A general framework for NOMA-MEC offloading☆54Updated 3 years ago
- 车联网环境☆17Updated last year
- Towards Heterogeneous Environment: Lyapunov-orientated ImpHetero Reinforcement Learning for Task Offloading☆26Updated 2 years ago
- 20220427-use DQN and DDPG to allocation the NOMA resource☆59Updated 2 years ago
- Simulation code for"A Max-Min Task Offloading Algorithm for Mobile Edge Computing Using Non-Orthogonal Multiple Access," IEEE Trans. Veh.…☆33Updated last year
- Evaluation code and mathematic details of our paper in IEEE Communications Magazine: ''When the User-Centric Network Meets Mobile Edge Co…☆51Updated 4 months ago
- ☆36Updated last year
- This repository contains the implementation codes of deep reinforcement learning (DRL) in user association and resource allocation in het…☆72Updated 5 years ago
- JOINT RESOURCE ALLOCATION AND TRAJECTORY OPTIMIZATION FOR MULTI-UAV-ASSISTED MULTI-ACCESS MOBILE EDGE COMPUTING☆29Updated last year
- J. Liu, X. Tao and J. Lu, "Mobility-Aware Centralized Reinforcement Learning for Dynamic Resource Allocation in HetNets," accepted by IEE…☆60Updated 5 years ago
- ☆27Updated 2 years ago
- This is an instant noodle implementation of "Adaptive Task Offloading in Coded Edge Computing: A Deep Reinforcement Learning Approach"☆26Updated 3 years ago
- Simulation code for "A max-min task offloading algorithm for mobile edge computing using non-orthogonal multiple access," by V. Kumar, M.…☆25Updated 9 months ago
- ☆33Updated 2 years ago