Name
Title | ||
|---|---|---|
Intelligent Resource Slicing for eMBB and URLLC Coexistence in 5G and Beyond: A Deep Reinforcement Learning Based Approach |
Abstract | ||
|---|---|---|
In this paper, we study the resource slicing problem in a dynamic multiplexing scenario of two distinct 5G services, namely Ultra-Reliable Low Latency Communications (URLLC) and enhanced Mobile BroadBand (eMBB). While eMBB services focus on high data rates, URLLC is very strict in terms of latency and reliability. In view of this, the resource slicing problem is formulated as an optimization probl... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TWC.2021.3060514 | IEEE Transactions on Wireless Communications |
Keywords | DocType | Volume |
Ultra reliable low latency communication,Reliability,5G mobile communication,Resource management,Optimization,Dynamic scheduling,Convergence | Journal | 20 |
Issue | ISSN | Citations |
7 | 1536-1276 | 8 |
PageRank | References | Authors |
0.53 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Madyan Alsenwi | 1 | 28 | 2.12 |
| Nguyen H. Tran | 2 | 267 | 21.39 |
| Mehdi Bennis | 3 | 3652 | 217.26 |
| Shashi Raj Pandey | 4 | 85 | 8.95 |
| Anupam Kumar Bairagi | 5 | 43 | 6.16 |
| Choong Seon Hong | 6 | 2044 | 277.88 |