- -

Efficient Random Access Channel Evaluation and Load Estimation in LTE-A with Massive MTC

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

Efficient Random Access Channel Evaluation and Load Estimation in LTE-A with Massive MTC

Show full item record

Tello-Oquendo, L.; Pla, V.; Leyva-Mayorga, I.; Martínez Bauset, J.; Casares-Giner, V.; Guijarro, L. (2019). Efficient Random Access Channel Evaluation and Load Estimation in LTE-A with Massive MTC. IEEE Transactions on Vehicular Technology. 68(2):1998-2002. https://doi.org/10.1109/TVT.2018.2885333

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/155059

Files in this item

Item Metadata

Title: Efficient Random Access Channel Evaluation and Load Estimation in LTE-A with Massive MTC
Author: Tello-Oquendo, Luis Pla, Vicent Leyva-Mayorga, Israel Martínez Bauset, Jorge Casares-Giner, Vicente Guijarro, Luis
UPV Unit: Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
Issued date:
Abstract:
[EN] The deployment of machine-type communications (MTC) together with cellular networks has a great potential to create the ubiquitous Internet-of-Things environment. Nevertheless, the simultaneous activation of a large ...[+]
Subjects: Cellular systems , Machine-type communications (MTC) , Random access channel (RACH)
Copyrigths: Reserva de todos los derechos
Source:
IEEE Transactions on Vehicular Technology. (issn: 0018-9545 )
DOI: 10.1109/TVT.2018.2885333
Publisher:
Institute of Electrical and Electronics Engineers
Publisher version: https://doi.org/10.1109/TVT.2018.2885333
Project ID:
info:eu-repo/grantAgreement/MINECO//TEC2015-71932-REDT/ES/ELASTIC NETWORKS: NUEVOS PARADIGMAS DE REDES ELASTICAS PARA UN MUNDO RADICALMENTE BASADO EN CLOUD Y FOG COMPUTING/
info:eu-repo/grantAgreement/CONACyT//383936/
info:eu-repo/grantAgreement/MINECO//TIN2013-47272-C2-1-R/ES/PLATAFORMA DE SERVICIOS PARA CIUDADES INTELIGENTES CON REDES M2M DENSAS/
Description: © 2019 IEEE. Personal use of this material is permitted. Permissíon from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertisíng or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works."
Thanks:
This work was supported in part by the Ministry of Economy and Competitiveness of Spain under Grants TIN2013-47272-C2-1-R and TEC2015-71932-REDT. The work of L. Tello-Oquendo was supported in part by the Universitat ...[+]
Type: Artículo

recommendations

 

This item appears in the following Collection(s)

Show full item record