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Incorporating Wireless Communication Parameters into the E-Model Algorithm
- Source :
- Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual), Universidade de São Paulo (USP), instacron:USP
- Publication Year :
- 2021
-
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 $I_{e,eff}$ and $I_{e,eff,WB}$ 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.<br />18 pages
- Subjects :
- FOS: Computer and information sciences
Sound (cs.SD)
Acoustics and Ultrasonics
Computer science
MIMO
Context (language use)
02 engineering and technology
Communications system
Computer Science - Sound
0203 mechanical engineering
Audio and Speech Processing (eess.AS)
Robustness (computer science)
FOS: Electrical engineering, electronic engineering, information engineering
0202 electrical engineering, electronic engineering, information engineering
Computer Science (miscellaneous)
Wireless
Quality of experience
Electrical and Electronic Engineering
Wireless network
business.industry
020302 automobile design & engineering
020206 networking & telecommunications
Network planning and design
Computational Mathematics
ALGORITMOS
business
Algorithm
Electrical Engineering and Systems Science - Audio and Speech Processing
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual), Universidade de São Paulo (USP), instacron:USP
- Accession number :
- edsair.doi.dedup.....af4002c9526da353f0b3ed249073b398