qiongwu86 / DDPG-RIS-MADDPG-POWER
☆13Updated 4 months ago
Related projects ⓘ
Alternatives and complementary repositories for DDPG-RIS-MADDPG-POWER
- ☆14Updated 5 months ago
- yanzhenliu97 / Latency-Minimization-in-Intelligent-Reflecting-Surface-Assisted-D2D-Offloading-Systems☆14Updated 2 years ago
- Deep Reinforcement Learning and BCD to solve phase shift and resource allocation of RIS and RSU☆22Updated 3 years ago
- codes for "Cooperative Caching, Rendering and Beamforming for RIS-assisted Wireless Virtual Reality Networks"☆15Updated 10 months ago
- ICC 2022 submit paper code☆25Updated 11 months ago
- Code for the paper "Age of Information Analysis in Edge Computing Servers"☆16Updated 9 months ago
- Mobility-aware Dynamic Joint Power Control and Resource Allocation for D2D underlaying cellular networks☆12Updated 4 years ago
- part code of paper entitled "battery-constrained federated edge learning in uav-enabled iot for b5g/6g networks"☆20Updated 3 years ago
- ☆15Updated 2 years ago
- Repository of code for journal paper "Positioning and power optimization for UAV-assisted networks in the presence of eavesdroppers: A mu…☆18Updated 2 years ago
- ☆25Updated last year
- ☆17Updated 11 months ago
- ☆28Updated 2 years ago
- UAV-IRS☆17Updated last year
- Simulator developed for the mobility management of UAV base stations project featuring A3C☆13Updated 4 years ago
- Distributed Two-tier DRL Framework for Cell-Free Network: Association, Beamforming and Power Allocation☆36Updated 9 months ago
- IntelligentNetworkingLAB / Optimize-Deployment-and-Minimize-Data-Processing-Time-based-on-Reinforcement-learning-in-UAV-MEC-env☆15Updated last year
- ☆31Updated last year
- code☆11Updated last year
- This is a reproduction of the paper:TCDA: Truthful Combinatorial Double Auctions for Mobile Edge Computing in Industrial Internet of Thin…☆9Updated last year
- nucleusbiao / Adaptive-Energy-Minimized-Scheduling-of-Real-Time-Applications-in-Vehicular-Edge-Computing☆16Updated 2 years ago
- ☆13Updated last year
- ☆20Updated last year
- A deep reinforcement learning based approach is used to allocate downlink power for multi-cell wireless system.☆21Updated 4 years ago
- simulation for https://ieeexplore.ieee.org/document/9434412☆22Updated 2 years ago
- Use of reinforcement learning and deep reinforcement learning algorithms to optimize the UAV based cellular network for higher throughput…☆12Updated 7 months ago
- D3QN framework for distributed resource allocation☆14Updated 4 months ago