Name
Abstract | ||
|---|---|---|
In this work, we propose a dynamic decision maker algorithm to improve the proactive HARQ protocol for beyond 5G networks. Based on Lyapunov stochastic optimization, our adaptation control framework dynamically selects the number of proactive retransmissions for intermittent URLLC traffic scenarios under time-varying channel conditions without requiring any prior knowledge associated with this stochastic process. It then better exploits the trade-off between Radio Access Network (RAN) latency, reliability and resource efficiency, which is still limited in its realization on current HARQ designs. We then evaluate the performance of several HARQ strategies and show that our proposal further improves latency over the reactive regime without affecting the resource efficiency such as fixed proactive retransmission while maintaining target reliability. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/EuCNC/6GSummit54941.2022.9815615 | 2022 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit) |
Keywords | DocType | ISSN |
toward URLLC,proactive HARQ adaptation,dynamic decision maker algorithm,proactive HARQ protocol,Lyapunov stochastic optimization,adaptation control framework,proactive retransmissions,intermittent URLLC traffic scenarios,time-varying channel conditions,stochastic process,Radio Access Network,resource efficiency,current HARQ designs,HARQ strategies,fixed proactive retransmission | Conference | 2475-6490 |
ISBN | Citations | PageRank |
978-1-6654-9872-2 | 0 | 0.34 |
References | Authors | |
8 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lam Ngoc Dinh | 1 | 0 | 0.34 |
| Ibtissam Labriji | 2 | 6 | 0.78 |
| Mickael Maman | 3 | 0 | 0.34 |
| Emilio Calvanese Strinati | 4 | 1 | 2.07 |