Yılmaz, Saadet Simay
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Yilmaz, Simay
Yılmaz, Simay
Yilmaz, Saadet Simay
Yilmaz, Saadet
Yılmaz, Saadet
Yılmaz, Simay
Yilmaz, Saadet Simay
Yilmaz, Saadet
Yılmaz, Saadet
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simayyilmaz@iyte.edu.tr
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03.05. Department of Electrical and Electronics Engineering
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| Journal | Count |
|---|---|
| IEEE Access | 2 |
| 2025 Wireless Communications and Networking Conference-WCNC-Annual -- MAR 24-27, 2025 -- Milan, ITALY | 1 |
| 24th Signal Processing and Communication Application Conference, SIU 2016 | 1 |
| 8th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, ICUMT 2016 | 1 |
| AEU-International Journal of Electronics and Communications | 1 |
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Correction Corrections To “massive Mimo-Noma Based Mec in Task Offloading for Delay Minimization”(IEEE, 2023) Yılmaz, Saadet Simay; Özbek, Berna[No abstract available]Article Traffic Load-Based Cell Selection for Apco25 Conventional-Based Professional Mobile Radio(Springer Verlag, 2020) Yılmaz, Saadet Simay; Özbek, Berna; Taş, Murat; Bengür, SıdıkaWireless communication between public safety officers is very important to transmit voice or data during emergency crises. When the public communication networks cannot provide services during crises, disasters, and high traffic cases, Professional or private mobile radio (PMR) such as Association of Public Safety Communications Officials (APCO25) conventional systems are needed to improve the service quality and to provide uninterrupted service to the users. In this paper, we propose traffic-based cell selection algorithms for the APCO25 conventional systems to attach users to base stations in a balanced manner to reduce waiting time while establishing a connection. The simulation results of the proposed traffic load-based cell selection algorithms are illustrated in terms of the RSSI measurements counter, the number of connection requests, the average waiting time, and the number of re-selections for the APCO25 conventional systems.Doctoral Thesis Resource Allocation for Massive Multiple Input Multiple Output Based Communications Systems(01. Izmir Institute of Technology, 2023) Yılmaz, Saadet Simay; Özbek, Berna; Yılmaz, Saadet Simay; Özbek, BernaIn this thesis, we examine resource allocation strategies for massive multiple-input and multiple-output (MIMO) based wireless communications systems to increase system performance, considering computation-intensive applications with low-latency communication. Firstly, we propose user selection algorithms for non-orthogonal multiple-access (NOMA)-based massive MIMO systems in densely deployed scenarios to increase the sum data rate. Then, we investigate mobile edge computing (MEC) as a solution to enable computation-intensive and delay-critical applications. We propose resource allocation algorithms considering the downlink and uplink transmit powers, the task offloading decision factor and the computing resources to reduce both transmission and computing delays for the massive MIMO-NOMA-assisted MEC system. Finally, we consider a cooperative MEC system where helpers assist in the execution of cell-edge users' computation-intensive tasks with low latency. On the other hand, the task offloading in MEC can introduce security concerns as the offloaded data may be intercepted and overheard by eavesdroppers. Since ensuring a secure task offloading scheme in MEC is important, we formulate the optimization problem to minimize both offloading and computing delays while satisfying security constraints for a massive MIMO-based cooperative MEC. We provide performance results based on sum data rate, delay and total offloading data for the proposed schemes in massive MIMO based wireless communication systems.Article Citation - WoS: 28Citation - Scopus: 28Multi-Helper Noma for Cooperative Mobile Edge Computing(Institute of Electrical and Electronics Engineers, 2022) Yılmaz, Saadet Simay; Özbek, BernaThe next-generation wireless networks are expected to support a number of computation-intensive and delay-sensitive applications such as virtual reality (VR), autonomous driving, telesurgery and unmanned aerial vehicles (UAVs). Since many devices are computation and power limited, mobile edge computing (MEC) has been deemed as a promising way to enhance computation service. In this paper, we propose a novel cooperative MEC that exploits the combination of non-orthogonal multiple access (NOMA) and multiple helpers. In the proposed system featuring a user, multiple helpers and a base station (BS), the user can simultaneously offload its computation-intensive tasks to the helpers using NOMA when there is no strong direct transmission link between the user and the BS. Then, the helpers can compute and offload these tasks through NOMA. Thus, in the proposed scheme, the computation and offloading modes at the helpers are determined with respect to the optimized task offloading decision factor. The simulation results show that the proposed NOMA-based cooperative MEC significantly increases the total offloading data under the latency constraints compared to the benchmark schemes featuring one helper with strong direct transmission link. IEEEConference Object Citation - WoS: 3Citation - Scopus: 3Load Based Cell Selection Algorithm for Digital Mobile Radio(Institute of Electrical and Electronics Engineers Inc., 2016) Yılmaz, Simay; Özbek, Berna; Taş, Murat; Bardak, Erinç DenizDigital mobile radio is one of a digital radio standard for Professional Mobile Radio and it is commonly used for emergency services. The cell selection is very important for digital mobile radio based systems to improve system performance in terms of delay and bit error rate. In this work, we propose an efficient cell selection algorithm for Digital Mobile Radio. In the proposed algorithm, each user selects the base station according to the proposed utility value determined based on both cell load and signal-to-interference-noise ratio. The goal of the proposed algorithm is to balance the distribution of the users among the cells to reduce the waiting time for connection while establishing reliable transmission link. We illustrate the performance results for different scenarios and applications in terms of cell load, signal-to-interference-noise ratio and bit error rate. © 2016 IEEE.Article Citation - WoS: 15Citation - Scopus: 17Massive Mimo-Noma Based Mec in Task Offloading for Delay Minimization(IEEE, 2023) Yilmaz, Saadet Simay; Özbek, BernaMobile edge computing (MEC) has been considered a promising technology to reduce task offloading and computing delay by enabling mobile devices to offload their computation-intensive tasks. Non-orthogonal multiple access (NOMA) is regarded as a promising method of increasing spectrum efficiency, while Massive multiple-input multiple-output (MIMO) can support a larger number of users for simultaneous offloading. These two technologies can effectively facilitate offloading and further improve the performance of MEC systems. In this work, we propose a NOMA and Massive MIMO assisted MEC system for delay-sensitive applications. Our objective is to minimize the overall computing and transmission delay under users' transmit power and MEC computing capability. Through the pairing scheme for Massive MIMO-NOMA, the users with the higher channel gain can offload all their data, while the users with the lower channel gain can offload a portion of their data to the MEC. Performance results are provided regarding to the sum data rate and overall system delay compared with the orthogonal multiple access (OMA)-MIMO based and Massive MIMO (M-MIMO) based MEC systems.Conference Object Citation - WoS: 1Citation - Scopus: 1Cell Load Based User Association for Professional Mobile Radio Systems(Institute of Electrical and Electronics Engineers Inc., 2018) Yılmaz, Saadet Simay; Özbek, Berna; Taş, Murat; Bengür, SıdıkaWhen the public communication networks can not provide service during disaster and high traffic cases, Professional Mobile Radio systems (PMR) such as trunked Digital Mobile Radio (DMR) systems are needed to improve the service quality and to provide uninterrupted service to the public safety officers. While providing continuous voice and data service, it is very important to select the base station (BS) to be served by efficient cell selection algorithms. The aim of the user association algorithms is to reduce the waiting time while establishing reliable transmission link for PMR systems in emergencies. In this sense, we propose the full set user association algorithm that each user selects the BS according to the calculated utility value determined based on both received signal strength indicator (RSSI) value and cell load information. The performance of the proposed algorithm is evaluated by considering different performance metrics for trunked DMR systems in urban area.Conference Object Citation - WoS: 1Citation - Scopus: 1Apco25 için Hücre Seçim Algoritmaları Performansı(Institute of Electrical and Electronics Engineers Inc., 2016) Yılmaz, Saadet Simay; Özbek, Berna; Taş, Murat; Bengür, SıdıkaBu makalede, APCO25 telsiz sistemi için hücre seçim algoritmaları incelenmiştir. Hem baz istasyonlarının yükü hem de kullanıcıların sinyal karışım gürültü oranları göz önüne alınarak hücre seçimi gerçekleştirilmiştir. Benzetim sonuçları, data ve ses kullanıcılarının olduğu farklı senaryolar göz önüne alınarak elde edilmiştir. Önerilen hücre seçim algoritmasının, kullanıcılara daha iyi sinyal karışım gürültü oranı değerleri sağlarken kullanıcıların baz istasyonlarına dengeli bir şekilde atamasını da yaptığı gösterilmiştir.Article Citation - WoS: 10Citation - Scopus: 13User Selection for Noma Based Mimo With Physical Layer Network Coding in Internet of Things Applications(Institute of Electrical and Electronics Engineers Inc., 2022) Yılmaz, Saadet Simay; Özbek, Berna; İlgüy, Mert; Okyere, Bismark; Musavian, Leila; Gonzalez, JonathanNon-orthogonal multiple access (NOMA) based multiple-input multiple-output (MIMO), which has the potential to provide both massive connectivity and high spectrum efficiency, is considered as one of the efficient techniques for sixth generation (6G) wireless systems. In massive Internet of Things (IoT) networks, user-set selection is crucial for enhancing the overall performance of NOMA based systems when compared with orthogonal multiple access (OMA) techniques. In this paper, we propose a user-set selection algorithm for IoT uplink transmission to improve the sum data rate of the NOMA based MIMO systems. In order to exchange data between the selected IoT pairs, we propose to employ wireless physical layer network coding (PNC) to further improve the spectral efficiency and reduce the delay to fulfill the requirements of future IoT applications. Performance evaluations are provided based on both sum data rate and bit error rate for the proposed NOMA based MIMO with PNC in the considered massive IoT scenarios. IEEEMaster Thesis Cell Selection Algorithms for Conventional Narrow Band Wireless Systems(Izmir Institute of Technology, 2017) Yılmaz, Saadet Simay; Özbek, BernaPublic safety organizations provide a stable and secure environment for the society. Wireless communication between public safety officers is very important to transmit voice or data during an emergency crisis. When the public communication networks can not provide service during crisis, disaster and high traffic cases, Professional Mobile Radio systems (PMR) such as conventional Association of Public Safety Communications Officials (APCO25) and trunked Digital Mobile Radio (DMR) systems are needed to improve the service quality and to provide uninterrupted service provided to the users. While providing continuous voice and data service, it is very important to efficiently select the base station to be served and to ensure that a mobile user can seamlessly attach from one base station to another base station while moving within a cell. In this sense, it is critical to determine the base station to be served by efficient cell selection algorithms. Cell selection is the process of deciding the base station which provides services to the users. Cell selection plays an important role in balancing the system load and thus overall system performance. By means of efficient cell selection algorithms, it is aimed to reduce the waiting time and to connect a base station as soon as possible while establishing reliable transmission link for PMR systems in emergencies.