The Investigation of Perceptual Speech 5G Wireless Communication Networks

• Published in: Lecture Notes in Electrical Engineering
• Main Author: Azran T.U.U.T.M.; Jusoh A.Z.; Asnawi A.L.; Abdullah K.; Othman M.R.; Razak N.I.A.
• Format: Conference paper
• Language: English
• Published: Springer Science and Business Media Deutschland GmbH 2024
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190384827&doi=10.1007%2f978-981-99-9005-4_37&partnerID=40&md5=6320eadd5d2be52f43cef9eaed146d98

5G technology has taken over the telecommunication industry and there are a lot of expectations that come with it considering the Quality of Service (QoS). However, the perceptual speech quality in a 5G wireless communication network is not yet been investigated. In communication networks, the end-user’s quality has traditionally been measured based on radio link measurements such as the Signal Interference Ratio (SIR), Bit Error Rate (BER), or Frame Error Rate (FER). However, these parameters do not accurately present the perception of the end users. The ultimate measure of perceived speech quality is realized through subjective listening tests, but this is not practical for real-time day-to-day applications. In recent years, objective quality measurement algorithms have been developed to predict subjective quality with considerable accuracy. The automated end-to-end PESQ algorithm is the ideal addition to the system design to investigate the perceptual speech quality in the 5G mobile communication networks. The PESQ algorithm is applied as the objective measure to get the average of the Mean Opinion Score (MOS). MOS is the score to measure the perceptual speech quality ranging from 1 to 5, which is from poor to high quality accordingly. Therefore in this paper, the perceptual speech quality in a 5G communication network will be investigated and analysis of the investigation will be presented. MATLAB Simulink platform will be applied for 5G communication network simulation. From the result of the investigation, the parameters that adopt to improve the perceptual speech quality for the wireless 5G network can be identified and hence the perceptual speech quality can be controlled more effectively. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.