nikhil-feb / Q-Learning-Based-Power-Control-Algorithm-for-D2D-CommunicationLinks
D2D communication as a multi-agents system, and power control is achieved by maximizing system capacity while maintaining the requirement of quality of service(QoS) from cellular users.
☆35Updated 5 years ago
Alternatives and similar repositories for Q-Learning-Based-Power-Control-Algorithm-for-D2D-Communication
Users that are interested in Q-Learning-Based-Power-Control-Algorithm-for-D2D-Communication are comparing it to the libraries listed below
Sorting:
- Energy-Spectral Efficiency Optimization in Vehicular Communications: Joint Clustering and Pricing-based Robust Power Control Approach☆14Updated 4 years ago
- Resource allocation for underlay DSA Cognitive Radio networks using reinforcement learning (Q-Learning))☆82Updated 6 years ago
- Graph-based resource sharing in vehicular communication, IEEE Transactions on Wireless Communications☆64Updated last year
- A Dynamic Graph-Based Scheduling and Interference Coordination Approach in Heterogeneous Cellular Networks中的对偶方法,在与作者(周力,zhouli2035@nudt.…☆21Updated 6 years ago
- Spectrum and power allocation for vehicular communications with delayed CSI feedback, IEEE Wireless Communications Letters☆74Updated last year
- Optimizing resource allocation with deep reinforcement learning☆38Updated 5 years ago
- TVT:(1)Joint Subcarrier Assignment with Power Allocation for Sum Rate Maximization of D2D Communications in Wireless Cellular Networks☆25Updated 6 years ago
- This contains joint channel and power allocation scheme for a full duplex cognitive radio network underlying a cellular network☆21Updated 7 years ago
- Codes for "Deep Deterministic Policy Gradient (DDPG) based Energy Harvesting Wireless Communications"☆23Updated 6 years ago
- D2D communications system simulator on MATLAB.☆31Updated 8 years ago
- Code for Learn to Compress CSI and Allocate Resources in Vehicular Networks☆42Updated 4 years ago
- A deep reinforcement learning based approach is used to allocate downlink power for multi-cell wireless system.☆25Updated 5 years ago
- Code for the paper "Age-of-Information-based Scheduling in Multiuser Uplinks with Stochastic Arrivals: A POMDP Approach"☆11Updated last year
- Transmit Power Control Using Deep Neural Network for Underlay Device-to-Device Communication☆19Updated 6 years ago
- Resource allocation for D2D-enabled vehicular communications, IEEE Transactions on Communications☆139Updated last year
- Project regarding Resource allocation using RL☆20Updated 4 years ago
- Game Theory based Radio Resource Allocation for full-duplex systems☆21Updated 8 years ago
- A Machine Learning Approach for Power Allocation in HetNets Considering QoS☆31Updated 5 years ago
- ☆22Updated 2 years ago
- Source code for "A Globally Optimal Energy-Efficient Power Control Framework and its Efficient Implementation in Wireless Interference Ne…☆47Updated last year
- WCSP:(1)Joint Uplink and Downlink Resource Allocation for D2D Communications Underlying Cellular Networks☆50Updated 6 years ago
- 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
- A simulator for User Equipment association in UAV-empowered Emergency Networks based on Game Theory and developed in the context of Compu…☆17Updated 4 years ago
- ☆34Updated 7 years ago
- Game Theory Based Distributed Resource Allocation in Communication Networks☆27Updated 4 years ago
- CNN-Based Resource Allocation for Energy-Efficient D2D Communications☆37Updated 4 years ago
- Contains the code related to our paper on scheduling and resource allocation in wireless communications.☆42Updated 8 months ago
- Spring 2017 Deep Reinforcement Learning Final Project☆30Updated 8 years ago
- 《Power Allocation in Multi-cell Networks Using Deep Reinforcement Learning》论文复现☆70Updated 6 years ago
- Optimization of SE and EE based on DRL☆20Updated 5 years ago