| Autor: |
Junxiao Zhou, Guangquan Cheng |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
IEEE Access, Vol 8, Pp 175589-175595 (2020) |
| Druh dokumentu: |
article |
| ISSN: |
2169-3536 |
| DOI: |
10.1109/ACCESS.2020.3026107 |
| Popis: |
The Internet of Things (IoT) is the network of numerous physical users that are able to gather and share electronic information with each other. One of the main challenges of IoT is to detect the active users. We first employ the orthogonal least squares (OLS) algorithm to detect the active users. We then prove that under some conditions on the noise vector v, OLS can successfully detect all the K active users from the linear model y = Hx + v in at most K iterations provided that H satisfies the restricted isometry property with δK+1 |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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