scholarly journals Evaluating the Quality of Experience Performance Metric for UAV-Based Networks

Sensors ◽  
2021 ◽  
Vol 21 (17) ◽  
pp. 5689
Author(s):  
Abdukodir Khakimov ◽  
Evgeny Mokrov ◽  
Dmitry Poluektov ◽  
Konstantin Samouylov ◽  
Andrey Koucheryavy
Keyword(s):  
Quality Of Experience ◽  
Radio Channel ◽  
Base Station ◽  
Minimal Impact ◽  
Performance Metric ◽  
Cell Coverage ◽  
User Scenario ◽  
Aerial Vehicle ◽  
Single User

In this work, we consider a UAV-assisted cell in a single user scenario. We consider the Quality of Experience (QoE) performance metric calculating it as a function of the packet loss ratio. In order to acquire this metric, a radio-channel emulation system was developed and tested under different conditions. The system consists of two independent blocks, separately emulating connections between the User Equipment (UE) and unmanned aerial vehicle (UAV) and between the UAV and Base station (BS). In order to estimate scenario usage constraints, an analytical model was developed. The results show that, in the described scenario, cell coverage can be enhanced with minimal impact on QoE.

scholarly journals Improved handoff mechanism for infiltrating user equipments in composite networks

2020 ◽  
Vol 10 (3) ◽  
pp. 2600
Author(s):  
Venkata Vara Prasad Padyala ◽  
K.V.D. Kiran
Keyword(s):  
Quality Of Experience ◽  
Vital Role ◽  
Base Station ◽  
Small Cells ◽  
Network Coverage ◽  
Coverage Problem ◽  
Ping Pong ◽  
Hand Off ◽  
Technology And Communication

The wireless technology and communication plays a vital role in our daily life. The end users are expecting more Quality of Experience (QOE) rather than the Quality of Service (QOS). In order to provide full signal coverage the entire cellular network coverage is divided in to small cells called as femtocells, those femtocells are covered with femtocell antennas which are very small in size compared with regular antennas. With these femtocell coverage problem is solved but when a user moves from one location to another location the user has to switch from one base station to so many base station which cannot be maintained with present handoff methods. The present hand off methods working on distance calculation approach, the proposed method is based on the velocity and device direction calculated based on GPS location toward the Base Station (BS) of the device which may ping pong handoff effect.

scholarly journals 3D Deployment of Unmanned Aerial Vehicle-Base Station Assisting Ground-Base Station

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Khaled F. Hayajneh ◽  
Khaled Bani-Hani ◽  
Hazim Shakhatreh ◽  
Muhammad Anan ◽  
Ahmad Sawalmeh
Keyword(s):  
Base Station ◽  
Path Model ◽  
Base Stations ◽  
Three Dimension ◽  
Available Bandwidth ◽  
Special Event ◽  
Proposed Model ◽  
Aerial Vehicle ◽  
The Impact

Unmanned aerial vehicles (UAVs), also named as drones, have become a modern model to provide a quick wireless communication infrastructure. They have been used when conventional base stations’ capacity is suffering in some extreme cases such as congestion inside the cell or a special event. This paper proposes an efficient three-dimension (3D) placement of a single UAV-assisted wireless network in such cases. Our proposed model assists the ground base station (GBS) using the UAV to serve arbitrary distributed users considering the impact of the obstacle blockage over the well-known air-to-ground (A2G) path model. This work is aimed at optimizing the percentage of available bandwidth that must be provided to the UAV in order to maximize the number of served users. In addition, it finds the 3D placement of the UAV base station (UAVBS) that maximizes the number of served users, each with maximum quality-of-service (QoS). The exhaustive search and particle swarm optimization (PSO) algorithms are used to find the problem’s solution.

scholarly journals Developing a Video Buffer Framework for Video Streaming in Cellular Networks

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Saba Qasim Jabbar ◽  
Dheyaa Jasim Kadhim ◽  
Yu Li
Keyword(s):  
Outage Probability ◽  
Video Streaming ◽  
Cellular Networks ◽  
Quality Of Experience ◽  
Video Quality ◽  
Base Station ◽  
System Throughput ◽  
Selection Algorithm ◽  
Radio Resources

This work proposes a new video buffer framework (VBF) to acquire a favorable quality of experience (QoE) for video streaming in cellular networks. The proposed framework consists of three main parts: client selection algorithm, categorization method, and distribution mechanism. The client selection algorithm was named independent client selection algorithm (ICSA), which is proposed to select the best clients who have less interfering effects on video quality and recognize the clients’ urgency based on buffer occupancy level. In the categorization method, each frame in the video buffer is given a specific number for better estimation of the playout outage probability, so it can efficiently handle so many frames from different videos at different bitrates. Meanwhile, at the proposed distribution mechanism, a predetermined threshold value is selected for lower and upper levels of playout outage probability. Then, the control unit at the base station will distribute the radio resources and decide the minimum rate requirement based on clients’ urgency categories. Simulation results showed that the VBF grantees fairness of resources distribution among different clients within the same cellular network while minimizing the interruption duration and controlling the video buffer at an acceptable level. Also, the results showed that the system throughput of the proposed framework outperforms other existing algorithms such as playout buffer and discontinuous reception aware scheduling (PBDAS), maximum carrier-to-interface ratio (MAX-CIR), and proportional fair (PF) due to enhancing the quality of experience for video streaming by increasing the radio resources in fairness manner.

scholarly journals Delay Analysis of Wireless Cellular Networks for Better Qos

2019 ◽  
Vol 9 (2) ◽  
pp. 5517-5524
Keyword(s):  
Cellular Networks ◽  
Service Providers ◽  
Radio Channel ◽  
Base Station ◽  
Traffic Load ◽  
Cell Network ◽  
Mobile Cellular ◽  
Mobile Cellular Networks ◽  
The Difference

The message for call requests is created by mobile devices during a call which is then sent to a base station (BS). A BS processes the response of a call request and chooses to accept or deny the call. Signals such as location notifications, paging and switching due to user mobility take a significant share of the total traffic load within mobile cellular networks. Therefore, between signaling packets, the maximum allowable delays may differ. This time will be delayed because if the time is longer than the allowable pause. The quality of service is therefore reduced, which for service providers is not acceptable. In this paper, we propose an empirical model to determine an overall delay in the processing of wireless cell network signaling packets, which involves the delay in the radio channel and the wired component delay in processing. We are demonstrating the effectiveness of priority processing in reducing handoff delays. We also assess the delay between cells according to their positions in the area and their influence on processing delays by the number of nodes. In addition, we evaluate the difference in delay between cells depending on their position within the network area and how many stations influence time delayed processing.

scholarly journals Design and Analysis WIMAX Network Based on Coverage Planning

2020 ◽  
Vol 26 (2) ◽  
pp. 99-110
Author(s):  
Ekhlas Kadhum Hamza ◽  
Shahad Nafea
Keyword(s):  
Wireless Network ◽  
Interference Cancellation ◽  
Base Station ◽  
Band Width ◽  
Quality Of Services ◽  
Network Coverage ◽  
Ieee 802.16E ◽  
Cell Coverage ◽  
Wimax Network

In this paper, wireless network is planned; the network is predicated on the IEEE 802.16e standardization by WIMAX. The targets of this paper are coverage maximizing, service and low operational fees. WIMAX is planning through three approaches. In approach one; the WIMAX network coverage is major for extension of cell coverage, the best sites (with Band Width (BW) of 5MHz, 20MHZ per sector and four sectors per each cell). In approach two, Interference analysis in CNIR mode. In approach three of the planning, Quality of Services (QoS) is tested and evaluated. ATDI ICS software (Interference Cancellation System) using to perform styling. it shows results in planning area covered 90.49% of the Baghdad City and used 1000 mobile subscribers and percentage connect with base station 84.3% on the establish QoS requirements .    

Fair Deployment of an Unmanned Aerial Vehicle Base Station for Maximal Coverage

2019 ◽  
Vol E102.B (10) ◽  
pp. 2014-2020
Author(s):  
Yancheng CHEN ◽  
Ning LI ◽  
Xijian ZHONG ◽  
Yan GUO
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Base Station ◽  
Aerial Vehicle

Principles for construction of bioluminescent enzyme biotests for analysis of complex media

2019 ◽  
Vol 485 (2) ◽  
pp. 229-233
Author(s):  
V. P. Kalyabina ◽  
E. N. Esimbekova ◽  
I. G. Torgashina ◽  
K. V. Kopylova ◽  
V. A. Kratasyuk
Keyword(s):  
Fruits And Vegetables ◽  
Rapid Assessment ◽  
Test System ◽  
Maximum Sensitivity ◽  
Toxic Chemicals ◽  
Complex Media ◽  
Luminescent Bacterium ◽  
Chemical Safety ◽  
Minimal Impact

We formulated the principles of designing bioluminescent enzyme tests for assessing the quality of complex media which consist in providing the maximum sensitivity to potentially toxic chemicals at a minimal impact of uncontaminated complex media. The developed principles served as a basis for designing a new bioluminescent method for an integrated rapid assessment of chemical safety of fruits and vegetables which is based on using the luminescent bacterium enzymes (NAD(P)H:FMN oxidoreductase and luciferase) as a test system.

UBAR

2021 ◽  
Vol 20 (3) ◽  
pp. 1-25
Author(s):  
Elham Shamsa ◽  
Alma Pröbstl ◽  
Nima TaheriNejad ◽  
Anil Kanduri ◽  
Samarjit Chakraborty ◽  
...  
Keyword(s):  
Resource Management ◽  
Quality Of Experience ◽  
State Of The Art ◽  
State Of Charge ◽  
User Preference ◽  
Management Approach ◽  
High Quality ◽  
Trade Off ◽  
Run Time

Smartphone users require high Battery Cycle Life (BCL) and high Quality of Experience (QoE) during their usage. These two objectives can be conflicting based on the user preference at run-time. Finding the best trade-off between QoE and BCL requires an intelligent resource management approach that considers and learns user preference at run-time. Current approaches focus on one of these two objectives and neglect the other, limiting their efficiency in meeting users’ needs. In this article, we present UBAR, User- and Battery-aware Resource management, which considers dynamic workload, user preference, and user plug-in/out pattern at run-time to provide a suitable trade-off between BCL and QoE. UBAR personalizes this trade-off by learning the user’s habits and using that to satisfy QoE, while considering battery temperature and State of Charge (SOC) pattern to maximize BCL. The evaluation results show that UBAR achieves 10% to 40% improvement compared to the existing state-of-the-art approaches.

scholarly journals Quality-of-Experience-Aware Incentive Mechanism for Workers in Mobile Device Cloud

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Sajeeb Saha ◽  
Md. Ahsan Habib ◽  
Tamal Adhikary ◽  
Md. Abdur Razzaque ◽  
Md. Mustafizur Rahman ◽  
...  
Keyword(s):  
Mobile Device ◽  
Quality Of Experience ◽  
Incentive Mechanism ◽  
Mobile Device Cloud
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