Mauriyin / Joint-eMBB-URLLC
☆19Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for Joint-eMBB-URLLC
- GitHub for the article Deep Reinforcement Learning for URLLC data management on top of scheduled eMBB traffic (Fabio Saggese, Luca Pasqua…☆14Updated 3 years ago
- Simulation code for "Non-Orthogonal Multiple Access and Network Slicing: Scalable Coexistence of eMBB and URLLC". Paper presented in the …☆11Updated 2 years ago
- Code containing RRM simulation using RL in a scenario with RAN slicing.☆15Updated last year
- According to considering the delay or not for two scenarios, eMBB and URLLC service, observe the wireless resource allocation distributio…☆22Updated 2 years ago
- 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.…☆20Updated 5 years ago
- Master Thesis☆10Updated last year
- Contains the code related to our paper on scheduling and resource allocation in wireless communications.☆30Updated 3 weeks ago
- Matlab code for the simulation of my paper entitled "Joint Resource and Admission Management for Slice-enabled Networks"☆31Updated 3 years ago
- Deep Reinforcement Learning Based Dynamic Resource Allocation in 5G Ultra-Dense Networks☆28Updated 3 years ago
- Codes for paper "Knowledge-Assisted Deep Reinforcement Learning in 5G Scheduler Design: From Theoretical Framework to Implementation"☆29Updated last year
- ☆18Updated last year
- Distributed Two-tier DRL Framework for Cell-Free Network: Association, Beamforming and Power Allocation☆36Updated 10 months ago
- This is code of paper entitled "AI-based Radio Resource and Transmission Opportunity Allocation for 5G-V2X HetNets: NR and NR-U networks…☆12Updated last year
- Code for Learn to Compress CSI and Allocate Resources in Vehicular Networks☆39Updated 4 years ago
- Source Codes for: DeepSlicing: Deep Reinforcement Learning Assisted Resource Allocation for Network Slicing☆49Updated 3 years ago
- Optimised the number of handovers using the Q-Learning algorithm of Reinforcement Learning☆14Updated 2 years ago
- Deep Reinforcement Learning (DRL) based Dynamic Spectrum Access (DSA) using Reservoir Computing (RC) (In IoT-J-2019)☆38Updated 4 years ago
- The folder contains NS-3 simulations for Mobility Robustness Optimization in Small Cell Networks☆9Updated 3 years ago
- Code implementing the algorithm and the benchmark of the paper "Power Minimization of Downlink Spectrum Slicing for eMBB and URLLC Users"☆12Updated last year
- Project regarding Resource allocation using RL☆21Updated 4 years ago
- WCSP：（1）Joint Uplink and Downlink Resource Allocation for D2D Communications Underlying Cellular Networks☆48Updated 5 years ago
- Implementation of deep reinforcement learning for optimizing the beams and predicting the blockage events☆12Updated 4 years ago
- A Machine Learning Approach for Power Allocation in HetNets Considering QoS☆28Updated 5 years ago
- D2D communication as a multi-agents system, and power control is achieved by maximizing system capacity while maintaining the requirement…☆34Updated 5 years ago
- TVT：（1）Joint Subcarrier Assignment with Power Allocation for Sum Rate Maximization of D2D Communications in Wireless Cellular Networks☆24Updated 5 years ago
- This is a repository for my Diploma Thesis on Wireless Communications at Aristotle University of Thessaloniki☆23Updated 2 years ago
- Latency Equalization Policy of End-to-End Network Slicing Based on Reinforcement Learning☆13Updated last year
- DQN for 5G RAN Slicing☆13Updated 3 years ago
- Optimizing resource allocation with deep reinforcement learning☆33Updated 4 years ago
- Joint spectrum and power allocation for cognitive capacity harvested network with using DQN learning method☆22Updated 5 years ago