by Haris Gacanin, Amir ...
by Haris Gacanin, Amir Ligata, and Erma Perenda Quality of Experience Inference for Video Services in Home Wi-Fi
Networks is a journal extract published on the 3rd day of March in the 56th
volume of the IEEE Communications Magazine. The article is designed to look
into important home network topics ranging from quality of experience, quality
of service, and wireless fidelity to measurement, home automation, and
telecommunication network reliability. In the introductory section, the article
looks at customer experience and the role it plays in home network management.
Here, the author presents the growing importance of customer experience and how
operators of modern home networks are continually investing in ensuring it is
improved in both the short and the long terms. This introduction acts as the
background through which quality of experience and quality of service are introduced.
Abbreviated as QoE and QoS, quality of experience and quality of service have
been employed in analyzing the gap that exists therein and the impact it has on
customer experience. According to the authors of this article, QoS network
metrics that have been collected remotely are rich grounds through which an
inferring QoE framework can be designed and put into use in home networks
(Ligata, et al. 190).
methodology in the study within the extract focuses on video services – the
YouTube application - in the analysis of indoor network traffic. The dataset
within the study was shaped up by application and network QoS parameters which
were obtained under varying conditions of interference, coverage, contention,
and network overload. Predictive modeling was employed in analyzing the
datasets and building unique QoE classes. At the end of the research, the
researchers found that their proposed framework was able to achieve accuracy
ranging from between 84 to 96 percent and this was dependent on the QoE class
in use. The study demonstrated the potential and effectiveness in a new
approach – one that focuses on improving customer experience based on QoE as
opposed to excessively investing in QoS (Ligata, et al. 194).
by Benoit Geller, Liang Zhou, Jingwu Cui, Baoyu Zheng, and Anne Wei, Joint Routing and Rate Control Scheme for
Multi-Stream High-Definition Video Transmission over Wireless Home Networks is
published in the 52nd volume of The Computer Journal. The focus of this extract
is routing control, wireless home networks, high-definition video, and rate
control. The entire journal extract is designed to look into the transmission
of high-definition video in light of rate and routing control. According to the
authors, it is important to have effective rate and routing control measures to
support multiple high-definition streaming involving different videos within
the home network arena. Such control is important as it provides grounds
through which reasonable links necessary for transmitting streams and desired
video rates is achieved. The main aim of the study in the journal extract is to
present and explore a unique combination of rate and routing control. This
combination acts as grounds through which an effectively distributed joint
solution and united convex formulation for optimization are achieved across a
cross-layer design. This is achieved through developing a unique distortion
model. The model not only captures the nature and level of packet loss birthed
from overall video quality and network congestion, but also the impact and
significance of encoder quantization. In the end, the routing scheme and
optimal joint rate are achieved through unique adaptations to minimization of
overall network congestion and the rate presented in time-varying traffic.
There are simulation results provided at the end which not only identify but
also explore the effectiveness of rate control scheme and proposed joint
routing within the wireless home networks context (Zhou, et al. 955).
by Fraida Fund, Caleb Smith-Salzberg and Shivendra Panwar, Bridging the digital divide between research and home networks is
designed to look at variability presented between research networks and home
networks. Published in the 2017 IEEE Conference on Computer Communications
Workshops, this journal extract looks into the digital divide and how it has
affected internet service plans within the United States. Here, the research
focuses on affordability and quality in light of analyzing the various internet
service plans. Most homes within the United States are presented as lacking
high-speed internet or the ability to install and continually subscribe to
high-speed internet. The section of people of people who are labeled as
researchers have a unique characteristic; they have either industry or
university internet connections that are high quality in nature. Such
connections ensure they can attend to their network protocols and network
services effectively. The disparity between the researchers and home networks
is presented as constantly growing and essential to address. It is important to
address the digital divide as it acts as grounds through which home users’
experiences will be made better in both the short and the long terms. Growing
the number of home internet users is important in more ways than one. Home
internet users account for a great section of the internet users in the United
States and improving their experience is important in growing the internet
industry in the country (Smith-Salzberg, et al. 18).
Amir, et al. "Quality of Experience Inference for Video Services in Home
WiFi Networks." IEEE Communications, vol. 56, no. 3,
3 Mar. 2018, pp. 187-193.
Caleb, et al. "Bridging the digital divide between research and home networks."
2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS),
vol. 53, no. 3, 4 May 2017, pp. 17-29.
Liang, et al. "Joint Routing and Rate Control Scheme for Multi-Stream
High-Definition Video Transmission over Wireless Home Networks." The
Computer Journal, vol. 52, no. 8, 1 Nov. 2009,