Tan, Ahmet Serdar
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Tan, A. Serdar
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02.05. Department of Electrical and Electronics Engineering
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Former Staff
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Documents
27
Citations
125
Scholarly Output
8
Articles
2
Views / Downloads
1405/1245
Supervised MSc Theses
1
Supervised PhD Theses
0
WoS Citation Count
8
Scopus Citation Count
9
WoS h-index
1
Scopus h-index
1
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0
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0
WoS Citations per Publication
1.00
Scopus Citations per Publication
1.13
Open Access Source
4
Supervised Theses
1
| Journal | Count |
|---|---|
| Computer Networks | 1 |
| IEEE 24th Signal Processing and Communication Applications Conference | 1 |
| International Symposium on Networks, Computers and Communications, ISNCC 2018 | 1 |
| Proceedings of the IM 2017 - 2017 IFIP/IEEE International Symposium on Integrated Network and Service Management | 1 |
| The 4th International Academic Conference on Social Sciences | 1 |
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8 results
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Now showing 1 - 8 of 8
Conference Object The Impact of D2d Connections on Network-Assisted Mobile Data Offloading(IEEE, 2018) Tan, Ahmet Serdar; Zeydan, EnginThe exponential increase of mobile data traffic pushes mobile operators to seek more efficient heterogeneous communication techniques. In this study, multi-user extension methods for multiple attribute decision making algorithms for network-assisted data offloading in heterogeneous wireless networks are developed and performance evaluations are performed in the presence of Device-to-Device (D2D) connections. Evaluations are carried out using simulations to point out the metrics and factors influencing data offloading in heterogeneous networks. The simulation results indicate the superiority of incorporating network-based information besides user-based information in offloading decisions. Additionally, up to 67% increase in user satisfaction can be achieved when D2D density is kept 68% under a heavy load scenario. The simulation results also indicate the existence of optimal D2D densities in heterogeneous networks depending on the total number of users and available network capacity.Conference Object Experimental Performance Analysis for Mobile Data Offloading in Heterogeneous Wireless Networks(2016) Akpolat, Gamze; Zeydan, Engin; Tan, A. Serdar...Conference Object Integration and Management of Wi-Fi Offloading in Service Provider Infrastructures(2016) Zeydan, Engin; Tan, A. SerdarIntegration of offloading technologies into mobile network operator's infrastructures that provide heterogeneous access services is a challenging task for mobile operators. A connectivity management platform is a key element for heterogeneous mobile network operators in order to enable optimal offloading. In this study, development and integration of a connectivity management platform that uses a novel multiple attribute decision making algorithms for efficient Wi-Fi Offloading in heterogeneous wireless networks is presented. The proposed platform collects several terminal and network level attributes via infrastructure and client Application Programming Interfaces (APIs) and decides the best network access technology to connect for requested users. Through experimentation, we provide details on the platform integration with service provider's network and sensitivity analysis of the multiple attribute decision making algorithm.Article Quality-Aware Wi-Fi Offload: Analysis, Design and Integration Perspectives(2018) Mester, Yavuz; Buyruk, Hasan; Zeydan, Engin; Tan, A. SerdarThe rapid spread of smart wireless devices and expansion of mobile data traffic have increased the interest for efficient traffic offloading techniques in next-generation communication technologies. Wi-Fi offloading uses ubiquitous Wi-Fi technology in order to satisfy the ever increasing demand for mobile bandwidth and therefore is an appropriate methodology for mobile operators. As a matter of fact, design and integration of an offloading technology inside mobile network operators' infrastructures is a challenging task due to convergence issues between the The 3rd Generation Partnership Project (3GPP) and non-3GPP networks. Therefore, a connectivity management platform is a key element for integrated heterogeneous mobile network operators in order to enable smart and effective offloading. In this paper, analysis, design and integration of a connectivity management platform that uses a Multiple Attribute Decision Making (MADM) algorithm for efficient Wi-Fi Offloading in heterogeneous wireless networks is presented. In order to enhance the end-user's quality-of-experience (QoE), we have especially concentrated on the benefits that can be achieved by exploiting the presence of integrated service provider platform. Hence, the proposed platform can collect several User Equipment (UE) and network-based attributes via infrastructure and client Application Programming Interfaces (APIs) and decides on the best network access technology (i.e. 3GPP and non-3GPP) to connect to for requested users. We have also proposed multi-user extensions of the MADM algorithms for offloading. Through simulations and experiments, we provide details of the comparisons of the proposed algorithms as well as the sensitivity analysis of the MADM algorithm through an experimental set-up.Master Thesis End of Day Cash Amount Prediction of All Bank Branches(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018) Erbaş, Sefa; Tan, Ahmet SerdarToday, although there are different payment methods available, most of the daily payments are made in cash¹. Accordingly, people's cash demand continues consistently. Due to its presence in most common networks, being as both supplier and custodian position of the cash money, the branches of the Bank are the most satisfying places that meet this need. In banks, the remaining cash at branches at the end of the day is idle money and leads to a potential loss of interest. The primary purpose of the banks is to leave cash at the branches at the optimum level and to obtain interest by depositing the excess cash to the Central Bank branches. The cash transfer is performed by outsourcing companies called CIT (Cash-inTransit). In this study, research was conducted to estimate branch end-of-day balances using different regression models. In order to reduce the effect of variance caused by the absence of any amount of limitation in transactions in branches, the daily estimation method has been adopted instead of the long-term estimation. The model has been developed for the estimation of the afternoon cash transaction amount of each branch based on before noon cash transaction details. The model output is grouped within a range of specific amounts, providing an output that determines the interval to take action for cash transfers.Conference Object Citation - Scopus: 1A Ran/Sdn Controller Based Connectivity Management Platform for Mobile Service Providers(Institute of Electrical and Electronics Engineers Inc., 2017) Ayhan, Gökhan; Koca, Melih; Zeydan, Engin; Tan, A. SerdarIn this demo, we demonstrate the integration of radio access network (RAN)/Software-Defined Networking (SDN) controller with a connectivity management platform designed for mobile wireless networks. This is an architecture designed throughout the EU Celtic-Plus project SIGMONA1. OpenDaylight based RAN/SDN controller and the application server are capable of collecting infrastructure and client related parameters from OpenFlow enabled switches and Android based phones respectively. The decision on the best access network selection is computed at the application server using a Multiple Attribute Decision Making (MADM) algorithm and instructed back to Android-based mobile client for execution of access network selection. © 2017 IFIP.Article Citation - WoS: 8Citation - Scopus: 8Performance Maximization of Network Assisted Mobile Data Offloading With Opportunistic Device-To Communications(2018) Zeydan, Engin; Tan, A. SerdarMobile data traffic inside mobile operator's infrastructure is increasing exponentially every year. This increasing demand forces mobile network operators (MNOs) to seek for alternative communication methods in order to relieve the traffic load in base stations, especially in highly populated and crowded environments. Network assisted data offload and Device-to-Device(D2D) communications are two prominent methods to help MNOs solve this problem. In this study, a data offload framework is developed that incorporates network assisted multiple attribute decision making (MADM) for best network selection and D2D communications for exploiting user proximity in crowded environments. The performance of the framework is evaluated with simulation results as well as analytic solutions and performance bounds. The simulation results indicate the superiority of incorporating network-based information besides user-based information in offloading decisions and demonstrates the significant benefits of D2D communications when the density of D2D users is properly adjusted. The simulation results depict that up to 168% and 200% increase in user satisfaction and throughput can be achieved under high network load scenarios at optimal D2D density. (C) 2018 Elsevier B.V. All rights reserved.Conference Object Regression Analysis of Stock Exchanges During the Ramadan Period: Analysis of 16 Countries(2016) Tan, A. Serdar; Özlem S....
