P2P: From Packets to Pepole, Leverage Wireless Artifical Intelligence for Bridging Network Performance Healthiness to Quality of Experience (QoE) in 4G Networks

2019 ◽  
Author(s):  
Ye Ouyang ◽  
Le Su ◽  
Wenyuan Lu ◽  
Zhengyi Lin ◽  
Maulik Shah ◽  
...  
Keyword(s):  
Network Performance ◽  
Quality Of Experience ◽  
4G Networks ◽  
Artifical Intelligence

scholarly journals Network performance assessment with Quality of experience benchmarks

2014 ◽  
Author(s):  
Decebal Constantin Mocanu ◽  
Giuliano Santandrea ◽  
Walter Cerroni ◽  
Franco Callegati ◽  
Antonio Liotta
Keyword(s):  
Performance Assessment ◽  
Network Performance ◽  
Quality Of Experience

On Quality of Experience in Remote Visualization on Mobile Devices

2010 ◽  
Vol 2 (1) ◽  
pp. 1-20 ◽  
Author(s):  
Gianluca Paravati ◽  
Andrea Sanna ◽  
Fabrizio Lamberti ◽  
Luigi Ciminiera
Keyword(s):  
Mobile Devices ◽  
User Satisfaction ◽  
Network Performance ◽  
Quality Of Experience ◽  
Experimental Tests ◽  
User Preferences ◽  
Frame Rate ◽  
Remote Visualization ◽  
Server Side

Quality of Experience (QoE) is a relatively new concept which represents a way of measuring user satisfaction in the use of a certain kind of service. This work investigates issues related to the QoE in manipulating 3D scenes on mobile devices, by focusing on scenarios based on the remote visualization paradigm where a remote server is in charge of computing a flow of compressed images to be delivered to client devices. A novel approach able to dynamically set the encoding parameters at the server side is presented; the considered parameters are frame resolution, frame rate and image quality. The proposed solution is able to tune the above parameters according to both user preferences and network performance. Experimental tests are exploited to assess the relationship between the involved parameters and the QoE. Results obtained by considering low resource hardware (e.g. mobile devices) and unreliable connections (e.g. wireless networks) are presented. User feedback proves the effectiveness of the proposed approach.

scholarly journals FRAMEWORK FOR MODELLING MOBILE NETWORK QUALITY OF EXPERIENCE THROUGH BIG DATA ANALYTICS APPROACH

2017 ◽  
Author(s):  
Ayisat Wuraola Yusuf-Asaju ◽  
Zulkhairi Md. Dahalin ◽  
Azman Ta’a
Keyword(s):  
User Experience ◽  
Data Analytics ◽  
Network Performance ◽  
Laboratory Experiments ◽  
Quality Of Experience ◽  
Big Data Analytics ◽  
Mobile Network ◽  
Mobile Internet ◽  
Mobile Network Operators

The increase in the usage of different mobile internet applications can cause deterioration in the mobile network performance. Such deterioration often declines the performance of the mobile network services that can influence the mobile Internet user’s experience, which can make the internet users switch between different mobile network operators to get good user experience. In this case, the success of mobile network operators primarily depends on the ability to ensure good quality of experience (QoE), which is a measure of users’ perceived quality of mobile Internet service. Traditionally, QoE is usually examined in laboratory experiments to enable a fixed contextual factor among the participants even though the results derived from these laboratory experiments presented an estimated mean opinion score representing perceived QoE. The use of user experience dataset involving time and location gathered from the mobile network traffic for modelling perceived QoE is still limited in the literature. The mobile Internet user experience dataset involving the time and location constituted in the mobile network can be used by the mobile network operators to make data-driven decisions to deal with disruptions observed in the network performance and provide an optimal solution based on the insights derived from the user experience data. Therefore, this paper proposed a framework for modelling mobile network QoE using the big data analytics approach. The proposed framework describes the process of estimating or predicting perceived QoE based on the datasets obtained or gathered from the mobile network to enable the mobile network operators effectively to manage the network performance and provide the users a satisfactory mobile Internet QoE.  

scholarly journals Network Performance Criteria for Telecommunication Traffic Types driven by Quality of Experience

2019 ◽  
Vol 15 (3) ◽  
pp. 233-244 ◽  
Author(s):  
Ines Ramadža ◽  
Vesna Pekić ◽  
Julije Ožegović
Keyword(s):  
Network Performance ◽  
Quality Of Experience ◽  
Performance Criteria ◽  
Live Streaming ◽  
Traffic Routing ◽  
Different Types ◽  
Telecom Operator ◽  
The Impact ◽  
The Given

A common reason for changing the chosen service provider is the users' perception of service. Quality of Experience (QoE) describes the end user's perception of service while using it. A frequent cause of QoE degradation is inadequate traffic routing, where, other than throughput, selected routes do not satisfy minimum network requirements for the given service or services. In order to enable QoE-driven routing, per traffic type defined routing criteria are required. Our goal was to obtain those criteria for relevant services of a telecom operator. For the purpose of identifying services of interest, we first provide short results of user traffic analysis within the telecom operator network. Next, our work presents testbed measurements which explore the impact of packet loss and delay on user QoE for video, voice, and management traffic. For video services, we investigated separately multicast delivery, unicast HTTP Live Streaming (HLS), and unicast Real Time Streaming Protocol (RTSP) traffic. Applying a threshold to QoE values, from the measured dependencies we extracted minimum network performance criteria for the investigated different types of traffic. Finally, we provide a comparison with results available in the literature on the topic.

scholarly journals Analisis Performansi Jaringan 4G Operator Telkomsel di Kota Tanjungpinang menggunakan Metode Drive Test

2020 ◽  
Vol 9 (1) ◽  
pp. 1-7
Author(s):  
Fitri Farida ◽  
Anton Hekso Yunianto
Keyword(s):  
Network Performance ◽  
Reference Signal ◽  
Test Method ◽  
Service Users ◽  
4G Networks ◽  
Optimal Observation ◽  
Test Technology ◽  
Test Route ◽  
Network Quality

The existence of a 4G network in Tanjungpinang City has begun to be felt by the community. The number of 4G service users continues to increase, so optimal observation is needed on the quality of the 4G network. Analysis of 4G network performance can be obtained using the drive test method. This method is used to obtain network quality information in real terms in the field. In line with advances in drive test technology, it can be applied more easily, namely using G-NetTrack Pro software. The parameters measured to determine the quality of 4G networks in this study are SINR (Signal to Interference Noice Ratio), RSRP (Reference Signal Receives Power), RSRQ (Reference Signal Receives Quality). Location of the measurement in Tanjungpinang City with the drive test route is started from Ali Haji street– Basuki Rahmat street – Wiratno street  - Sekarno Hatta street - Yos Sudarso street - Usman Harun street - POS street - Bakar Batu street - Brigjen Katamso street - MT Haryono street. The result shows 4G Telkomsel has a good quality with value RSRP -83.48 dBm, RSRQ -11.18 dB, SINR 6.71 dB.

scholarly journals Wi-Fi Network Profiling and QoS Assessment for Real Time Video Streaming

2021 ◽  
Vol 3 (1) ◽  
pp. 21-30
Author(s):  
Jennifer S Raj ◽  
Vijesh Joe C
Keyword(s):  
Video Streaming ◽  
Network Performance ◽  
Quality Of Experience ◽  
Smart Cities ◽  
Data Set ◽  
North East ◽  
User Access ◽  
One Year ◽  
East West

The municipal wireless networks are developed using Wi-Fi connectivity for establishing smart cities. Wi-Fi access is provided to several thousands of cities worldwide. However, the overall utilization profile, Quality of Experience (QoE) of the user and Quality of Service (QoS) analysis has not been performed in most of these cities. There are 304 free wi-fi hotspots available in the Coimbatore City. The service availability, network performance and user connection data are analyzed for a duration of one year. The 304 hotspots are categorized into North, East, West, South and Centre zones. Video streaming experiment is conducted in these zones. The data set is leveraged for establishing and verifying the correlation between the area specific events and total user access in the region.

Quality of Experience for Video Services

2010 ◽  
pp. 258-273
Author(s):  
Marcio Nieblas Zapater ◽  
Graça Bressan
Keyword(s):  
Quality Assurance ◽  
Performance Measures ◽  
Network Performance ◽  
Quality Of Experience ◽  
Ip Networks ◽  
End User ◽  
Services Delivery ◽  
Video Services ◽  
And Performance

This chapter discusses the quality assurance of multimedia services over IP networks from the end user standpoint and introduces the concept of quality of experience (QoE). The discussion of quality assurance includes aspects that range from the network and application layers to the end user perspective. The focus of the discussion presented in this chapter is oriented to the video services delivery that can be considered a significant evolution of services providers’ portfolio. This chapter presents quality requirements for video and TV services and performance measures that focuses on the quality perceived by the end user. This approach is broader than that oriented to quality of service (QoS), which focuses on the performance measures from the network perspective. QoE takes into account how well a service meet customers goals and expectations rather than focusing only on the network performance.

Demand of Wireless Network and Security in Current Research

2015 ◽  
Vol 14 (6) ◽  
pp. 5809-5813
Author(s):  
Abhishek Prabhakar ◽  
Amod Tiwari ◽  
Vinay Kumar Pathak
Keyword(s):  
Wireless Networks ◽  
Quality Of Service ◽  
Wireless Network ◽  
Network Performance ◽  
Wireless Security ◽  
Human Intervention ◽  
Unauthorized Access ◽  
Quality Of Service Parameters ◽  
Wireless Infrastructure

Wireless security is the prevention of unauthorized access to computers using wireless networks .The trends in wireless networks over the last few years is same as growth of internet. Wireless networks have reduced the human intervention for accessing data at various sites .It is achieved by replacing wired infrastructure with wireless infrastructure. Some of the key challenges in wireless networks are Signal weakening, movement, increase data rate, minimizing size and cost, security of user and QoS (Quality of service) parameters... The goal of this paper is to minimize challenges that are in way of our understanding of wireless network and wireless network performance.

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