End user based measurement system for cellular packet data network performance

2012 ◽  
Author(s):  
Zahir Zainuddin ◽  
Ady Wahyudi Paundu
Keyword(s):  
Measurement System ◽  
Network Performance ◽  
End User ◽  
Data Network ◽  
Packet Data

scholarly journals Identification of the State of Electrical Appliances with the Use of a Pulse Signal Generator

Energies ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 673
Author(s):  
Augustyn Wójcik ◽  
Piotr Bilski ◽  
Robert Łukaszewski ◽  
Krzysztof Dowalla ◽  
Ryszard Kowalik
Keyword(s):  
Measurement System ◽  
Cross Correlation ◽  
Pulse Signal ◽  
Signal Generator ◽  
Experimental Results ◽  
The Novel ◽  
End User ◽  
Standard Classification ◽  
Electrical Appliance

The paper presents the novel HF-GEN method for determining the characteristics of Electrical Appliance (EA) operating in the end-user environment. The method includes a measurement system that uses a pulse signal generator to improve the quality of EA identification. Its structure and the principles of operation are presented. A method for determining the characteristics of the current signals’ transients using the cross-correlation is described. Its result is the appliance signature with a set of features characterizing its state of operation. The quality of the obtained signature is evaluated in the standard classification task with the aim of identifying the particular appliance’s state based on the analysis of features by three independent algorithms. Experimental results for 15 EAs categories show the usefulness of the proposed approach.

scholarly journals Deep Q-Learning for Two-Hop Communications of Drone Base Stations

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 1960
Author(s):  
Azade Fotouhi ◽  
Ming Ding ◽  
Mahbub Hassan
Keyword(s):  
Degrees Of Freedom ◽  
Network Performance ◽  
Learning Model ◽  
Base Stations ◽  
Communication Model ◽  
Complex Environments ◽  
End User ◽  
Q Learning ◽  
Trajectory Simulation ◽  
Target Environment

In this paper, we address the application of the flying Drone Base Stations (DBS) in order to improve the network performance. Given the high degrees of freedom of a DBS, it can change its position and adapt its trajectory according to the users movements and the target environment. A two-hop communication model, between an end-user and a macrocell through a DBS, is studied in this work. We propose Q-learning and Deep Q-learning based solutions to optimize the drone’s trajectory. Simulation results show that, by employing our proposed models, the drone can autonomously fly and adapts its mobility according to the users’ movements. Additionally, the Deep Q-learning model outperforms the Q-learning model and can be applied in more complex environments.

Bounds on the average message reassembly time in a packet data network

1991 ◽  
Vol 46 (7-8) ◽  
pp. 417-424
Author(s):  
Patrick Brown ◽  
Brigitte Delosme ◽  
Andrzej Pach
Keyword(s):  
Data Network ◽  
Packet Data

scholarly journals A Study of WLAN Campus in an Educational Establishment

2009 ◽  
Vol 3 (4) ◽  
pp. 41 ◽  
Author(s):  
Taghareed Abdul-Hameed ◽  
Ziad Hunaiti ◽  
Eliamani Sedoyeka
Keyword(s):  
Network Performance ◽  
Weather Conditions ◽  
Access Point ◽  
Campus Network ◽  
End User ◽  
Second Stage ◽  
Link Performance ◽  
End Use ◽  
Two Stages

the main aim of campus network is to efficiently separate, share and access knowledge among its users. The big demand of such systems of distributed knowledge networks is to be able to handle advanced applications which are the end-user requirements. The main goal of this study is to assess the ability of WLAN campus to dealing with applications request of end users in education establishments and network achievement under different conditions of operation. The study has been conducted in two stages: the first stage was accomplished by conducting a survey, using the Student Village network at Anglia Ruskin University as a case study; the main aim was to determine end-use requirements, gather information about the nature applications running by users and get a view about the likely future applications. The second stage was achieved by conducting experiments to evaluate the WLAN campus network performance under various different scenarios: impact of handover from Access Point (AP) to another AP on end-user link performance, network performance in different usage time and network performance in different weather conditions.

scholarly journals Technical Measurement of a Mobile Network Performance and Quality of Service (Chapter 3 of Network Performance and Quality of Service)

2018 ◽  
Author(s):  
Sigit Haryadi
Keyword(s):  
Quality Of Service ◽  
Measurement System ◽  
Network Performance ◽  
Mobile Network ◽  
Measurement Methods ◽  
Public Land ◽  
Technical Measurement

1.Theory of the QoS Measurement Methods; 2.Description of the Measurement system for a Public Land Mobile Network; 3.Types of Aggregate Measurement; 3.1.Some Examples of Aggregation Measurement of the Mobile Network

Evaluation of Telemedicine Systems User Satisfaction in Developing Countries

2021 ◽  
pp. 180-198
Author(s):  
Thierry Edoh ◽  
Pravin Amrut Pawar ◽  
Ahmed Dooguy Kora
Keyword(s):  
Developing Countries ◽  
User Satisfaction ◽  
Network Performance ◽  
Sub Saharan Africa ◽  
End User ◽  
System User ◽  
Sub Saharan ◽  
Qos Performance ◽  
Qualitative And Quantitative Study

This article describes how in developing countries, the work on regulatory aspects of telemedicine systems and applications is still in infancy. During our literature review and on-site research in Sub-Saharan Africa, we could not point out any work on measuring the quality of service (QoS) and quality of experience (QoE or QoX) provided by the telemedicine systems, thus making it impossible to measure the overall level of system user satisfaction in Sub-Saharan Africa. Therefore, we conducted a qualitative and quantitative study to measure network QoS performance and end-user QoE perception of telemedicine systems using publicly accessible conversation tool Skype in Mali and Senegal. The results show that about 75% of the users were satisfied with the quality of teleconsultation service provided and 60% of the users have good impression on the network performance. Based on obtained results, we propose KPIs such as global QoS for measuring QoS and propose a mathematical formula to predict the corresponding QoE, since there exists a relationship between QoS and QoE.

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