Name
Title | ||
|---|---|---|
Long Short-Term Memory for Indoor Localization Using WI-FI Received Signal Strength and Channel State Information |
Abstract | ||
|---|---|---|
Indoor location information is increasing in importance in contemporary communication services and applications. In this paper, we discuss the long short-term memory (LSTM) performance for indoor localization in non-line-of-sight (NLoS) conditions using the received signal strength (RSS) and channel state information (CSI) obtained from Wi-Fi signals. As such, we describe the CSI and RSS acquisiti... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/5GWF52925.2021.00047 | 2021 IEEE 4th 5G World Forum (5GWF) |
Keywords | DocType | ISBN |
Indoor localization,Deep learning (DL),Wi-Fi,Receiver signal strength (RSS),Channel state information (CSI),Long short-term memory (LSTM),Error probability | Conference | 978-1-6654-4308-1 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lotfi Bencharif | 1 | 0 | 0.34 |
| Messaoud Ahmed Ouameur | 2 | 4 | 2.12 |
| Daniel Massicotte | 3 | 52 | 17.67 |