Selecting proper wireless network interfaces for user experience enhancement with guaranteed probability

2012 ◽  
Vol 72 (12) ◽  
pp. 1565-1575 ◽  
Author(s):  
Jianwei Niu ◽  
Yuhang Gao ◽  
Meikang Qiu ◽  
Zhong Ming
Keyword(s):  
Wireless Network ◽  
User Experience ◽  
Network Interfaces

Exploiting multiple wireless network interfaces

2014 ◽  
pp. 264-280
Author(s):  
Sasu Tarkoma ◽  
Matti Siekkinen ◽  
Eemil Lagerspetz ◽  
Yu Xiao
Keyword(s):  
Wireless Network ◽  
Network Interfaces

scholarly journals Usability Study of a Library's Mobile Website: An Example from Portland State University

2012 ◽  
Vol 31 (2) ◽  
pp. 45 ◽  
Author(s):  
Kimberly D. Pendell ◽  
Michael S. Bowman
Keyword(s):  
Wireless Network ◽  
User Experience ◽  
State University ◽  
Usability Study ◽  
Usability Test ◽  
Network Connections ◽  
Portland State University ◽  
Site Design

<p>To discover how a newly developed library mobile website performed across a variety of devices, the authors used a hybrid field and laboratory methodology to conduct a usability test of the website. Twelve student participants were recruited and selected according to phone type. Results revealed a wide array of errors attributed to site design, wireless network connections, as well as phone hardware and software. This study provides an example methodology for testing library mobile websites, identifies issues associated with mobile websites, and provides recommendations for improving the user experience.</p>

scholarly journals Evaluación de la calidad de experiencia de YouTube Live en redes inalámbricas

2017 ◽  
Author(s):  
Luis Roberto Jimenez ◽  
Marta Solera ◽  
Matías Toril ◽  
Pablo Oliver
Keyword(s):  
Wireless Network ◽  
Video Quality ◽  
Data Encryption ◽  
Model Assessment ◽  
Start Time ◽  
User Terminal ◽  
Software Model ◽  
Level Data ◽  
Transport Control ◽  
Network Interfaces

YouTube Live is one of the most popular services on the Internet, enabling an easy streaming of a live video with acceptable video quality. Thus, understanding user´s perception of this service is of the utmost importance for network operators. As in other videostreaming services, YouTube Live traffic is sometimes affected by delays due to unfavourable network conditions, which translate into unacceptable initial reproduction times or image freezes as a result of client´s buffer underrun. Detecting these events is key to ensure an adequate Quality of experience (QoE). Unfortunately, data encryption makes it very difficult for operators to monitor QoE from packet-level data collected in network interfaces. In this paper, an analytical model to estimate the QoE for encrypted YouTube Live service from packet-level data collected in the interfaces of a wireless network is presented. The inputs to the model are Transport Control Protocol (TCP)/Internet Protocol (IP) metrics, from which three Service Key Performance Indicators (S-KPIs) are estimated, namely initial video play start time, video interruption duration and video interruption. The model is developed with an experimental platform, consisting of a user terminal agent, a WiFi wireless network, a network-level emulator and a probe software. Model assessment is carried out by comparing S-KPI estimates with measurements from the terminal agent under different network conditions introduced by the network emulator.

A Service for Improving the User Experience in WLANs and WPANs

2010 ◽  
pp. 59-96
Author(s):  
Ricardo Augusto Rabelo Oliveira ◽  
Antonio Alfredo F. Loureiro
Keyword(s):  
Resource Management ◽  
Wireless Communications ◽  
Mobile Devices ◽  
Wireless Network ◽  
User Experience ◽  
Hot Spots

In this chapter is presented a framework to a service that acts as a middleware to the applications, providing the information about the wireless network context. The increasing use of wireless communications in mobile devices calls for a new level of resource management. Users with mobile devices accessing wireless hot spots are a commonplace, and, thus, their management is becoming more important.

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