Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği

Permanent URI for this collectionhttps://hdl.handle.net/11147/11

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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
    Citation - WoS: 10
    Citation - Scopus: 13
    User 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, Jonathan
    Non-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. IEEE
  • Article
    Citation - WoS: 28
    Citation - Scopus: 28
    Multi-Helper Noma for Cooperative Mobile Edge Computing
    (Institute of Electrical and Electronics Engineers, 2022) Yılmaz, Saadet Simay; Özbek, Berna
    The 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. IEEE
  • Article
    Traffic Load-Based Cell Selection for Apco25 Conventional-Based Professional Mobile Radio
    (Springer Verlag, 2020) Yılmaz, Saadet Simay; Özbek, Berna; Taş, Murat; Bengür, Sıdıka
    Wireless 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.
  • Conference Object
    Citation - WoS: 1
    Citation - Scopus: 1
    Cell 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, Sıdıka
    When 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: 1
    Citation - Scopus: 1
    Apco25 için Hücre Seçim Algoritmaları Performansı
    (Institute of Electrical and Electronics Engineers Inc., 2016) Yılmaz, Saadet Simay; Özbek, Berna; Taş, Murat; Bengür, Sıdıka
    Bu 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.