Research on strategy optimization of 5G NSA based on mobile learning

With the rapid development of Internet education, according to the trend of educational technology integration under the new situation, the Ministry of Education proposes that making full use of modern educational resources and advanced technology, building a mobile learning environment, and making...

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Main Authors: Zhao, Feng, Kaabar, Mohammed K. A
Format: Conference or Workshop Item
Published: 2021
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Online Access:http://eprints.um.edu.my/36046/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127575485&doi=10.1145%2f3511716.3511717&partnerID=40&md5=ad53112f7dadb93ddb2af10b478328b2
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spelling my.um.eprints.360462024-07-11T08:41:29Z http://eprints.um.edu.my/36046/ Research on strategy optimization of 5G NSA based on mobile learning Zhao, Feng Kaabar, Mohammed K. A Q Science (General) QA75 Electronic computers. Computer science QA76 Computer software With the rapid development of Internet education, according to the trend of educational technology integration under the new situation, the Ministry of Education proposes that making full use of modern educational resources and advanced technology, building a mobile learning environment, and making efficient use of 5G network environment for mobile learning and knowledge transmission are the development trends of future education. Firstly, this paper studies the key issues affecting speech perception. However, it analyzes the uplink power contraction of NSA voice terminal, and verifies and optimizes NSA voice quality strategy based on the experimental test data, so as to improve the voice perception quality within 5G NSA mobile learning environment network services. © 2021 ACM. 2021 Conference or Workshop Item PeerReviewed Zhao, Feng and Kaabar, Mohammed K. A (2021) Research on strategy optimization of 5G NSA based on mobile learning. In: 4th International Conference on E-Business, Information Management and Computer Science, EBIMCS 2021, 29-31 December 2021, Hong Kong. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127575485&doi=10.1145%2f3511716.3511717&partnerID=40&md5=ad53112f7dadb93ddb2af10b478328b2
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic Q Science (General)
QA75 Electronic computers. Computer science
QA76 Computer software
spellingShingle Q Science (General)
QA75 Electronic computers. Computer science
QA76 Computer software
Zhao, Feng
Kaabar, Mohammed K. A
Research on strategy optimization of 5G NSA based on mobile learning
description With the rapid development of Internet education, according to the trend of educational technology integration under the new situation, the Ministry of Education proposes that making full use of modern educational resources and advanced technology, building a mobile learning environment, and making efficient use of 5G network environment for mobile learning and knowledge transmission are the development trends of future education. Firstly, this paper studies the key issues affecting speech perception. However, it analyzes the uplink power contraction of NSA voice terminal, and verifies and optimizes NSA voice quality strategy based on the experimental test data, so as to improve the voice perception quality within 5G NSA mobile learning environment network services. © 2021 ACM.
format Conference or Workshop Item
author Zhao, Feng
Kaabar, Mohammed K. A
author_facet Zhao, Feng
Kaabar, Mohammed K. A
author_sort Zhao, Feng
title Research on strategy optimization of 5G NSA based on mobile learning
title_short Research on strategy optimization of 5G NSA based on mobile learning
title_full Research on strategy optimization of 5G NSA based on mobile learning
title_fullStr Research on strategy optimization of 5G NSA based on mobile learning
title_full_unstemmed Research on strategy optimization of 5G NSA based on mobile learning
title_sort research on strategy optimization of 5g nsa based on mobile learning
publishDate 2021
url http://eprints.um.edu.my/36046/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127575485&doi=10.1145%2f3511716.3511717&partnerID=40&md5=ad53112f7dadb93ddb2af10b478328b2
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score 13.211869