Name
Abstract | ||
|---|---|---|
This letter presents deep learning (DL) based non-orthogonal random access (NORA) where multiple nodes utilizing the identical preamble simultaneously transmit data over the same time-frequency resources. Effective power control algorithms are essential for the NORA, however, only partial information of channels such as the timing advance (TA) is available. This poses challenges for existing algor... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/LCOMM.2019.2936473 | IEEE Communications Letters |
Keywords | Field | DocType |
Power control,Training,Uplink,Deep learning,Timing,Indexes,Cellular networks | Preamble,Computer science,Power control,Communication channel,Computer network,Timing advance,Cellular network,Artificial intelligence,Deep learning,Telecommunications link,Random access | Journal |
Volume | Issue | ISSN |
23 | 11 | 1089-7798 |
Citations | PageRank | References |
3 | 0.40 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| h s jang | 1 | 48 | 7.68 |
| Hoon Lee | 2 | 209 | 18.12 |
| Tony Q. S. Quek | 3 | 3621 | 276.75 |