Name
Title | ||
|---|---|---|
Learning to Schedule Network Resources Throughput and Delay Optimally Using Q + -Learning |
Abstract | ||
|---|---|---|
As network architecture becomes complex and the user requirement gets diverse, the role of efficient network resource management becomes more important. However, existing throughput-optimal scheduling algorithms such as the max-weight algorithm suffer from poor delay performance. In this paper, we present reinforcement learning-based network scheduling algorithms for a single-hop downlink scenario... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TNET.2021.3051663 | IEEE/ACM Transactions on Networking |
Keywords | DocType | Volume |
Throughput,Delays,Optimization,Reinforcement learning,Wireless networks,Heuristic algorithms,Complexity theory | Journal | 29 |
Issue | ISSN | Citations |
2 | 1063-6692 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jeongmin Bae | 1 | 0 | 0.34 |
| Joohyun Lee | 2 | 4 | 2.79 |
| Song Chong | 3 | 2113 | 143.72 |