Institut for Forretningsudvikling og Teknologi

User Throughput-Based Quality of Experience

Publikation: KonferencebidragPaperForskningpeer review

Standard

User Throughput-Based Quality of Experience. / Hiranandani, Bhavesh; Sarkar, Mahasweta; Mihovska, Albena; Das, Aniruddha .

2018. Paper præsenteret ved Wireless Telecommunication Symposium (WTS), Phoenix, USA.

Publikation: KonferencebidragPaperForskningpeer review

Harvard

Hiranandani, B, Sarkar, M, Mihovska, A & Das, A 2018, 'User Throughput-Based Quality of Experience' Paper fremlagt ved Wireless Telecommunication Symposium (WTS), Phoenix, USA, 18/04/2018 - 20/04/2018, .

APA

Hiranandani, B., Sarkar, M., Mihovska, A., & Das, A. (2018). User Throughput-Based Quality of Experience. Paper præsenteret ved Wireless Telecommunication Symposium (WTS), Phoenix, USA.

CBE

Hiranandani B, Sarkar M, Mihovska A, Das A. 2018. User Throughput-Based Quality of Experience. Paper præsenteret ved Wireless Telecommunication Symposium (WTS), Phoenix, USA.

MLA

Hiranandani, Bhavesh o.a.. User Throughput-Based Quality of Experience. 2018.

Vancouver

Hiranandani B, Sarkar M, Mihovska A, Das A. User Throughput-Based Quality of Experience. 2018. Paper præsenteret ved Wireless Telecommunication Symposium (WTS), Phoenix, USA.

Author

Hiranandani, Bhavesh ; Sarkar, Mahasweta ; Mihovska, Albena ; Das, Aniruddha . / User Throughput-Based Quality of Experience. Paper præsenteret ved Wireless Telecommunication Symposium (WTS), Phoenix, USA.

Bibtex

@conference{e76c0e42052e43e39741e38c6b0a8e4f,
title = "User Throughput-Based Quality of Experience",
abstract = "Satisfaction of end users is one of the most importantfactors for every service provider. Given that a lot of factorsalong with the network conditions affect the user’s experience, thenetwork quality given by the Quality of Service (QoS) parametersalone cannot provide an accurate measure of the users Qualityof Experience (QoE). Today, most of the airlines have startedproviding in-flight wi-fi services, which allow their passengersto use Internet services to send and receive e-mails, and streamvideo from various online service providers while on board theflight. Statistics show that more than 50{\%} of the passengersuse the provided wi-fi service to stream video, therefore, theirperception of the video service will be determining for the serviceprovider’s performance. One easy way to evaluate the perceivedvideo streaming (i.e. QoE) is by estimating the frequency of stalls.In our paper, we propose an evaluation method based on the userthroughput values to determine the number of stalls the user mayhave experienced during an adaptive video streaming service.Our algorithm is not dependent on any user device propertyand requires only one input, namely, the throughput valuesdelivered to the user device, which can be collected at eitherthe router or if available, at the traffic shaper.",
keywords = "video streaming",
author = "Bhavesh Hiranandani and Mahasweta Sarkar and Albena Mihovska and Aniruddha Das",
year = "2018",
month = "4",
day = "20",
language = "English",
note = "null ; Conference date: 18-04-2018 Through 20-04-2018",
url = "http://www.cpp.edu/~wtsi/",

}

RIS

TY - CONF

T1 - User Throughput-Based Quality of Experience

AU - Hiranandani,Bhavesh

AU - Sarkar,Mahasweta

AU - Mihovska,Albena

AU - Das,Aniruddha

PY - 2018/4/20

Y1 - 2018/4/20

N2 - Satisfaction of end users is one of the most importantfactors for every service provider. Given that a lot of factorsalong with the network conditions affect the user’s experience, thenetwork quality given by the Quality of Service (QoS) parametersalone cannot provide an accurate measure of the users Qualityof Experience (QoE). Today, most of the airlines have startedproviding in-flight wi-fi services, which allow their passengersto use Internet services to send and receive e-mails, and streamvideo from various online service providers while on board theflight. Statistics show that more than 50% of the passengersuse the provided wi-fi service to stream video, therefore, theirperception of the video service will be determining for the serviceprovider’s performance. One easy way to evaluate the perceivedvideo streaming (i.e. QoE) is by estimating the frequency of stalls.In our paper, we propose an evaluation method based on the userthroughput values to determine the number of stalls the user mayhave experienced during an adaptive video streaming service.Our algorithm is not dependent on any user device propertyand requires only one input, namely, the throughput valuesdelivered to the user device, which can be collected at eitherthe router or if available, at the traffic shaper.

AB - Satisfaction of end users is one of the most importantfactors for every service provider. Given that a lot of factorsalong with the network conditions affect the user’s experience, thenetwork quality given by the Quality of Service (QoS) parametersalone cannot provide an accurate measure of the users Qualityof Experience (QoE). Today, most of the airlines have startedproviding in-flight wi-fi services, which allow their passengersto use Internet services to send and receive e-mails, and streamvideo from various online service providers while on board theflight. Statistics show that more than 50% of the passengersuse the provided wi-fi service to stream video, therefore, theirperception of the video service will be determining for the serviceprovider’s performance. One easy way to evaluate the perceivedvideo streaming (i.e. QoE) is by estimating the frequency of stalls.In our paper, we propose an evaluation method based on the userthroughput values to determine the number of stalls the user mayhave experienced during an adaptive video streaming service.Our algorithm is not dependent on any user device propertyand requires only one input, namely, the throughput valuesdelivered to the user device, which can be collected at eitherthe router or if available, at the traffic shaper.

KW - video streaming

M3 - Paper

ER -