Online Mobile User Speed Estimation: Performance and Tradeoff Considerations

Majed Haddad 1 Dalia-Georgiana Herculea 2, 3, 4, 5 Chung Shue Chen 2, 3 Eitan Altman 6 Veronique Capdevielle 7
1 LIA - Laboratoire Informatique d'Avignon
2 LINCS - Laboratory of Information, Network and Communication Sciences
3 Alcatel-Lucent Bell Labs France [Nozay]
4 DYOGENE - Dynamics of Geometric Networks
DI-ENS - Département d'informatique de l'École normale supérieure, CNRS - Centre National de la Recherche Scientifique : UMR 8548, Inria de Paris
5 DI-ENS - Département d'informatique de l'École normale supérieure
6 NEO - Network Engineering and Operations
CRISAM - Inria Sophia Antipolis - Méditerranée
7 Nokia Bell Labs [Paris-Saclay]
Abstract : This paper presents an online algorithm for mobile user speed estimation in 3GPP Long Term Evolution (LTE)/LTE-Advanced (LTE-A) networks. The proposed method leverages on uplink (UL) sounding reference signal (SRS) power measurements performed at the base station, also known as eNodeB (eNB), and remains effective even under large sampling period. Extensive performance evaluation of the proposed algorithm is carried out using field traces from realistic environment. The on-line solution is proven highly efficient in terms of computational requirement, estimation delay, and accuracy. In particular, we show that the proposed algorithm can allow for the first speed estimation to be obtained after 10 seconds and with an average speed underestimation error of 14 kmph. After the first speed acquisition, subsequent speed estimations can be obtained much faster (e.g., each second) with limited implementation cost and still provide high accuracy.
Keywords : estimation delay complexity mobility state estimation LTE Cellular networks shadowing memory consumption
Document type :
Conference papers
Complete list of metadatas

Cited literature [17 references]  Display  Hide  Download
https://hal.inria.fr/hal-01380734
Contributor : Chung Shue Chen <>
Submitted on : Thursday, October 13, 2016 - 2:00:37 PM
Last modification on : Tuesday, May 14, 2019 - 10:11:50 AM
Long-term archiving on : Saturday, February 4, 2017 - 9:11:37 PM

File

t13_CR_M.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01380734, version 1

Collections

INSTITUT-TELECOM | UPMC | INRIA | INRIA2017 | ENS-PARIS | PSL | UNIV-COTEDAZUR | INRIA-ROCQ | SORBONNE-UNIVERSITE | UNIV-AVIGNON | SU-SCIENCES

Citation

Majed Haddad, Dalia-Georgiana Herculea, Chung Shue Chen, Eitan Altman, Veronique Capdevielle. Online Mobile User Speed Estimation: Performance and Tradeoff Considerations. IEEE Consumer Communications and Networking Conference (CCNC), Jan 2017, Las Vegas, United States. ⟨hal-01380734⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

546

Files downloads

382

Contact


archive-ouverte@inria.fr