TY - GEN
T1 - The QoE assessment model for 5G mobile technology
AU - Andriyanto, Fery
AU - Suryanegara, Muhammad
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2018/1/29
Y1 - 2018/1/29
N2 - This paper aims to develop the assessment model of Quality of Experience (QoE) for the upcoming 5G mobile technology. The 5G usage scenarios have been developed by ITU to facilitate mobile capabilities that will be needed in the future, namely Enhanced Mobile Broadband, Ultra-reliable and low latency communications, and Massive Machine type communications. The model links the technical concern of Quality of Service (QoS) to the relevant 5G service experience on each of 5G scenarios. It utilizes the crowdsourcing service quality assessment on the three characteristics. First, it signifies the 5G service applications underlying enhanced multimedia broadband scenario which is differentiated by location-related two cases, i.e. the hotspot area and wide area coverage. Second, the model signifies the 5G service underlying the ultra-reliable and low-latency communications which is focusing on QoS parameters, i.e. latency, reliability and availability. Third, the developed model emphasizes energy efficiency implication on the scenario of massive-machine type communications. Finally, the model can be used by mobile operators as a reference guide to asses and also to improve the quality of experience when the values are below expectation.
AB - This paper aims to develop the assessment model of Quality of Experience (QoE) for the upcoming 5G mobile technology. The 5G usage scenarios have been developed by ITU to facilitate mobile capabilities that will be needed in the future, namely Enhanced Mobile Broadband, Ultra-reliable and low latency communications, and Massive Machine type communications. The model links the technical concern of Quality of Service (QoS) to the relevant 5G service experience on each of 5G scenarios. It utilizes the crowdsourcing service quality assessment on the three characteristics. First, it signifies the 5G service applications underlying enhanced multimedia broadband scenario which is differentiated by location-related two cases, i.e. the hotspot area and wide area coverage. Second, the model signifies the 5G service underlying the ultra-reliable and low-latency communications which is focusing on QoS parameters, i.e. latency, reliability and availability. Third, the developed model emphasizes energy efficiency implication on the scenario of massive-machine type communications. Finally, the model can be used by mobile operators as a reference guide to asses and also to improve the quality of experience when the values are below expectation.
KW - 5G
KW - QoE
KW - QoE assessment
KW - Quality of Experience
UR - http://www.scopus.com/inward/record.url?scp=85047357970&partnerID=8YFLogxK
U2 - 10.1109/BCWSP.2017.8272574
DO - 10.1109/BCWSP.2017.8272574
M3 - Conference contribution
AN - SCOPUS:85047357970
T3 - 2017 International Conference on Broadband Communication, Wireless Sensors and Powering, BCWSP 2017
SP - 1
EP - 5
BT - 2017 International Conference on Broadband Communication, Wireless Sensors and Powering, BCWSP 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 International Conference on Broadband Communication, Wireless Sensors and Powering, BCWSP 2017
Y2 - 22 November 2017 through 23 November 2017
ER -