Baykaş, Tunçer
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Name Variants
B.,Tuncer
Baykaş, Tunçer
Tunçer Baykaş
Baykaş T.
Baykaş, T.
T. Baykaş
B., Tuncer
Baykas, Tuncer
B., Tunçer
BAYKAŞ, Tunçer
Baykas,T.
Baykaş, TUNÇER
Baykas T.
Baykaş,T.
TUNÇER BAYKAŞ
Tunçer BAYKAŞ
BAYKAŞ, TUNÇER
Tuncer, Baykas
Baykas,Tuncer
Baykaş, Tunçer
Baykaş, Tunçer
Tunçer Baykaş
Baykaş T.
Baykaş, T.
T. Baykaş
B., Tuncer
Baykas, Tuncer
B., Tunçer
BAYKAŞ, Tunçer
Baykas,T.
Baykaş, TUNÇER
Baykas T.
Baykaş,T.
TUNÇER BAYKAŞ
Tunçer BAYKAŞ
BAYKAŞ, TUNÇER
Tuncer, Baykas
Baykas,Tuncer
Baykaş, Tunçer
Job Title
Doç. Dr.
Email Address
tuncer.baykas@khas.edu.tr
Main Affiliation
Electrical-Electronics Engineering
Status
Website
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
Scholarly Output
31
Articles
12
Citation Count
150
Supervised Theses
1
12 results
Scholarly Output Search Results
Now showing 1 - 10 of 12
Article Citation - WoS: 3Citation - Scopus: 4Busy Tone Based Coexistence Algorithm for Wran and Wlan Systems in Tv White Space(Inst Engineering Technology-IET, 2018) Karatalay, Onur; Baykaş, Tunçer; Erküçük, Serhat; Erküçük, Serhat; Baykaş, TunçerTV White Space (TVWS) refers to frequency band reserved only for licensed terrestrial TV broadcasting and is opened to unlicensed use under regulatory conditions. While regulations protect licensed systems from interference interference among unlicensed systems is left mainly to manufacturers. Consequently there is a need to develop new coexistence approaches between TVWS networks. Busy tone broadcasting is a coexistence method which can be used by TVWS networks to announce the selected frequency band is occupied. In this paper a busy tone based coexistence algorithm is proposed for IEEE 802.11af and IEEE 802.22 networks and analyzed by considering different client distributions experiencing log-normal shadowing where the exact interfering packet rate and successful packet transmission rate expressions are obtained and validated by simulations for different scenarios. The results show that with the proposed coexistence approach a WLAN can reliably detect the busy tone signal to change its frequency band and can reduce interference to WRAN. Even if there is no available frequency band for the WLAN the WRAN still maintains its enhanced successful packet transmission performance. The deployment of the proposed algorithm is important for successful coexistence between cognitive wireless networks where interference is not regulated such as in TVWS bands.Article Citation - WoS: 4Citation - Scopus: 4The Use of Statistical Features for Low-Rate Denial-Of Attack Detection(Springer int Publ Ag, 2024) Fuladi, Ramin; Baykaş, Tunçer; Baykas, Tuncer; Anarim, EminLow-rate denial-of-service (LDoS) attacks can significantly reduce network performance. These attacks involve sending periodic high-intensity pulse data flows, sharing similar harmful effects with traditional DoS attacks. However, LDoS attacks have different attack modes, making detection particularly challenging. The high level of concealment associated with LDoS attacks makes them extremely difficult to identify using traditional DoS detection methods. In this paper, we explore the potential of using statistical features for LDoS attack detection. Our results demonstrate the promising performance of statistical features in detecting these attacks. Furthermore, through ANOVA, mutual information, RFE, and SHAP analysis, we find that entropy and L-moment-based features play a crucial role in LDoS attack detection. These findings provide valuable insights into utilizing statistical features enhancing network security, thereby improving the overall resilience and stability of networks against various types of attacks.Article Citation - Scopus: 3IEEE 802.11BB Reference Channel Models For Light Communications(Institute of Electrical and Electronics Engineers Inc., 2023) Baykaş, Tunçer; Baykas,T.; Elamassie,M.; Uysal,M.Increasing industrial attention to visible light communications (VLC) technology led the IEEE 802.11 to establish the task group 802.11bb 'Light Communications' (LC) for the development of a VLC standard. As a part of the standard development process, the development of realistic channel models according to possible use cases is of critical importance for physical layer system design. This article presents the reference channel models for the mandatory usage models adopted by IEEE 802.11bb for the evaluation of system proposals. The use cases include industrial, medical, enterprise, and residential scenarios. Channel impulse responses and corresponding frequency responses are obtained for each use case using a ray tracing approach based on realistic specifications for transmitters and receivers, and optical characterization of the environment. © 2023 IEEE.Article Citation - WoS: 8Citation - Scopus: 10Location Aware Vertical Handover in a VLC/WLAN Hybrid Network(IEEE-Inst Electrical Electronics Engineers Inc, 2021) Baykaş, Tunçer; Baykas, TuncerVisible light communication (VLC) has emerged as a promising technology for wireless communication as it offers higher data rates and secure data transmission along with providing indoor illumination. However, VLC is restricted by the line of sight (LoS) nature of the optical channel that consequently results in light path blockages. Therefore, an effective solution would be to combine VLC with a radio frequency (RF) system to form a hybrid VLC/RF network that would take into account the preferences of an end-user with the practicality of implementation. In such networks, an efficient vertical handover (VHO) technique is the most critical element as it ensures a seamless transition between the two networks. In this work, we propose a vertical handover technique that utilizes the user's location information to make a handover decision. We found that the frequency of light path blockages increases with the increasing number of users in a confined space, resulting in significant performance deterioration. This additional information is then utilized so that the VHO algorithm effectively selects the most feasible network. The proposed algorithm has been tested against the immediate vertical handover algorithm (I-VHO) and the dwell vertical handover algorithm (D-VHO) with two different dwell times. The average number of handovers, quality of experience (QoE), and packet loss have been set as performance metrics. We show from several simulation scenarios that the proposed method results in a fewer number of handovers while maintaining higher QoE and lower packet loss.Article Citation - WoS: 9Citation - Scopus: 8Measurement-Based Large Scale Statistical Modeling of Air-To Wireless Uav Channels Via Novel Time-Frequency Analysis(IEEE-Inst Electrical Electronics Engineers Inc, 2022) Ede, Burak; Baykaş, Tunçer; Kaplan, Batuhan; Kahraman, Ibrahim; Kesir, Samed; Yarkan, Serhan; Ekti, Ali Riza; Baykas, TuncerAny operation scenario for unmanned aerial vehicles also known as drones in real world requires resilient wireless link to guarantee capacity and performance for users, which can only be achieved by obtaining detailed knowledge about the propagation channel. Thus, this study investigates the large-scale channel propagation statistics for the line of sight air-to-air (A2A) drone communications to estimate the path loss exponent (PLE). We conducted a measurement campaign at 5.8 GHz, using low cost and light weight software defined radio based channel sounder which is developed in this study and then further integrated on commercially available drones. To determine the PLE, frequency-based, time-based and time-frequency based methods are utilized. Accuracy of the proposed method is verified under ideal conditions in a well-isolated anechoic chamber before the actual measurement campaign to verify the performance in a free space path loss environment. The path loss exponent for A2A wireless drone channel is estimated with these verified methods.Article Citation - WoS: 2Citation - Scopus: 3A 130 nm CMOS Receiver for Visible Light Communication(IEEE-Inst Electrical Electronics Engineers Inc, 2022) Baykaş, Tunçer; Yagan, Muhammed Yaser; Uysal, Murat; Pusane, Ali Emre; Baykas, Tuncer; Dundar, Gunhan; Yalcinkaya, Arda DenizVisible light communication (VLC) is an emerging technology that has been gaining attention over the last few years. Transmission of data at higher rates in a VLC system is mainly limited by the modulation bandwidth of the employed LED. To alleviate this limitation, equalization is frequently employed. This is usually achieved by either using discrete circuit elements or in digital form. In this paper, we present a power-efficient VLC receiver as a system-on-chip, implemented in 130 nm CMOS technology. The proposed receiver supports LEDs with different bandwidths thanks to the switchable equalizer. We tested the proposed receiver using phosphorescent white LEDs with different bandwidths on an experimental VLC link. For each tested LED, around 20 fold improvement in data rate was achieved compared to the original bandwidth of the LED. For the LED with a modulation bandwidth of 1.6 MHz, data rates of 32 Mbps and 50 Mbps at a BER of 10(-2) were obtained at a distance of 2 meters without and with a blue filter, respectively.Article Citation - WoS: 8Citation - Scopus: 9Regression of Large-Scale Path Loss Parameters Using Deep Neural Networks(IEEE-Inst Electrical Electronics Engineers Inc, 2022) Baykaş, Tunçer; Marey, Ahmed; Ates, Hasan F.; Baykas, Tuncer; Gunturk, Bahadir K.Path loss exponent and shadowing factor are among important wireless channel parameters. These parameters can be estimated using field measurements or ray-tracing simulations, which are costly and time-consuming. In this letter, we take a deep neural network-based approach, which takes either satellite image or height map of a target region as input, and estimates the desired channel parameters. We use the well-known VGG-16 architecture, pretrained on the ImageNet dataset, as the backbone to extract image features, modify it as a regression network to produce channel parameters, and retrain it on our dataset, which consists of satellite image or height map as input and channel parameters as target values. We demonstrate that deep networks can be successfully utilized in estimating path loss exponent and shadowing factor of a region, simply from the region's satellite image or height map. The trained models and test codes are publicly available on a Github page.Article Citation - WoS: 1Citation - Scopus: 1An Integrated Molecular Communication System Based on Acoustic Tweezers(IEEE-Inst Electrical Electronics Engineers Inc, 2023) Baykaş, Tunçer; Pusane, Ali Emre; Baykas, TuncerIn this work, a molecular communication link integrated with a micro-electro mechanical system (MEMS) based environment has been designed and simulated. The motivation behind this approach is to explore the possibility of merging acoustic tweezing technique with a molecular communication system to increase the accuracy and reliability of the overall communication link. The proposed design is simulated using finite element methods that mimic the actual environment for an accurate solution. We derive symbol error rate as a performance metric and further show that the proposed system outperforms the diffusion-based modulation techniques and facilitates a reliable communication in the presence of fluid flow and while being insusceptible to external factors.Article Citation - WoS: 0Citation - Scopus: 0A Comparative Analysis of Diversity Combining Techniques for Repetitive Transmissions in Time Spreading Scma Systems(John Wiley & Sons Ltd, 2024) Ulgen, Oguz; Şadi, Yalçın; Tufekci, Tolga Kagan; Erküçük, Serhat; Sadi, Yalcin; Baykaş, Tunçer; Erkucuk, Serhat; Anpalagan, Alagan; Baykas, TuncerSparse Code Multiple Access (SCMA) is a recently introduced wireless communication network technology. There are various techniques in SCMA systems to increase the system's efficiency, and one of these techniques is time spreading. By adding repetitive transmission and time spreading into SCMA, it is shown in previous works that the Bit-Error-Rate (BER) results are improved convincingly. However, in the previous works, other diversity combining techniques have not been considered. This paper introduces a new approach to further improve the performance of repetitive transmission in SCMA systems with time spreading by adding imperialist competitive algorithm in diversity combining. Alongside, four different combining techniques; equal gain combining, maximal ratio combining, selection combining, and genetic algorithm are considered to bring comparative analysis to show the significance of the new technique. Results show that the proposed method offers up to 2.3 dB gain in terms of BER, under certain conditions.Article Citation - WoS: 3Citation - Scopus: 3Residual Lstm Neural Network for Time Dependent Consecutive Pitch String Recognition From Spectrograms: a Study on Turkish Classical Music Makams(Springer, 2023) Mirza, Fuat Kaan; Baykaş, Tunçer; Gursoy, Ahmet Fazil; Hekimoğlu, Mustafa; Baykas, Tuncer; Pekcan, Mehmet Önder; Hekimoglu, Mustafa; Pekcan, OnderTurkish classical music, characterized by 'makam', specific melodic configurations delineated by sequential pitches and intervals, is rich in cultural significance and poses a considerable challenge in identifying a musical piece's particular makam. This identification complexity remains an issue even for experienced musical experts, emphasizing the need for automated and accurate classification techniques. In response, we introduce a residual LSTM neural network model that classifies makams by leveraging the distinct sequential pitch patterns discerned within various audio segments over spectrogram-based inputs. This model's design uniquely merges the spatial capabilities of two-dimensional convolutional layers with the temporal understanding of one-dimensional convolutional and LSTM mechanisms embedded within a residual framework. Such an integrated approach allows for detailed temporal analysis of shifting frequencies, as revealed in logarithmically scaled spectrograms, and is adept at recognizing consecutive pitch patterns within segments. Employing stratified cross-validation on a comprehensive dataset encompassing 1154 pieces spanning 15 unique makams, we found that our model demonstrated an accuracy of 95.60% for a subset of 9 makams and 89.09% for all 15 makams. Our approach demonstrated consistent precision even when distinguishing makam pairs known for their closely related pitch sequences. To further validate our model's prowess, we conducted benchmark tests against established methodologies found in current literature, providing a comparative assessment of our proposed workflow's abilities.
