Title
Incorporating Wireless Communication Parameters into the E-Model Algorithm
Date Issued
2021
Access level
open access
Resource Type
journal article
Author(s)
Carrillo D.
Ramirez M.A.
Nardelli P.H.J.
Moller S.
Universidade Federal de Lavras
Publisher(s)
Institute of Electrical and Electronics Engineers Inc.
Abstract
Telecommunication service providers have to guarantee acceptable speech quality during a phone call to avoid a negative impact on the users' quality of experience. Currently, there are different speech quality assessment methods. ITU-T Recommendation G.107 describes the E-model algorithm, which is a computational model developed for network planning purposes focused on narrowband (NB) networks. Later, ITU-T Recommendations G.107.1 and G.107.2 were developed for wideband (WB) and fullband (FB) networks. These algorithms use different impairment factors, each one related to different speech communication steps. However, the NB, WB, and FB E-model algorithms do not consider wireless techniques used in these networks, such as Multiple-Input-Multiple-Output (MIMO) systems, which are used to improve the communication system robustness in the presence of different types of wireless channel degradation. In this context, the main objective of this study is to propose a general methodology to incorporate wireless network parameters into the NB and WB E-model algorithms. To accomplish this goal, MIMO and wireless channel parameters are incorporated into the E-model algorithms, specifically into the Ie,eff and Ie,eff,WB impairment factors. For performance validation, subjective tests were carried out, and the proposed methodology reached a Pearson correlation coefficient (PCC) and a root mean square error (RMSE) of 0.9732 and 0.2351, respectively. It is noteworthy that our proposed methodology does not affect the rest of the E-model input parameters, and it intends to be useful for wireless network planning in speech communication services.
Start page
956
End page
968
Volume
29
Language
English
OCDE Knowledge area
Telecomunicaciones
Scopus EID
2-s2.0-85101489306
Source
IEEE/ACM Transactions on Audio Speech and Language Processing
ISSN of the container
23299290
Sponsor(s)
Manuscript received May 7, 2020; revised August 29, 2020 and November 24, 2020; accepted January 29, 2021. Date of publication February 9, 2021; date of current version February 26, 2021. This work was supported in part by Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) under Grant 2015/24496-0 and Grant 2018/26455-8, in part by Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), and in part the Academy of Finland via: (a) ee-IoT project n.319009, (b) FIREMAN consortium CHISTERA/n.326270, and (c) EnergyNet Research Fellowship n.321265/n.328869. The Associate Editor Coordinating the review of this manuscript and approving it for publication was Prof. Tom Bäckström (Corresponding author: Demostenes Zegarra Rodriguez.) Demóstenes Z. Rodríguez is with the Universidade Federal de Lavras, Lavras 37200-900, Brazil (e-mail: demostenes.zegarra@ufla.br).
Sources of information: Directorio de Producción Científica Scopus