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A word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Aldababsa, M., Güven, E., Durmaz, M. A., Göztepe, C., Karabulut Kurt, G., & Kucur, O. (2022). Unified Performance Analysis of Antenna Selection Schemes for Cooperative MIMO-NOMA with Practical Impairments. IEEE Transactions on Wireless Communications, 21(6), 4364-4378. External link
Aldababsa, M., Göztepe, C., Karabulut Kurt, G., & Kucur, O. (2020). Bit Error Rate for NOMA Network. IEEE Communications Letters, 24(6), 1188-1191. External link
Çetintürk, M., Adam, Y., Göztepe, C., & Karabulut Kurt, G. (2021, June). Machine learning aided demodulator in MISO beamforming systems [Cok girdili tek ciktili huzme yonlendirmeli sistemde makine orenmesi destekli demodulator]. [Paper]. 29th IEEE Conference on Signal Processing and Communications Applications (SIU 2021) (4 pages). External link
Durmaz, M. A., Göztepe, C., Karabulut Kurt, G., Toka, M., & Kucur, O. (2019, April). Non-Orthogonal Multiple Access System Implementation in Software Defined Radios [Paper]. 27th Signal Processing and Communications Applications Conference (SIU 2019), Sivas, Turkey (4 pages). External link
Göztepe, C., Karabulut Kurt, G., & Özbek, B. (2023, July). Carrier Frequency Offset Based Shared Randomness for Secure Transmission in M-PSK NOMA [Paper]. IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom 2023), Istanbul, Turkey. External link
Gecgel Cetin, S., Göztepe, C., Karabulut Kurt, G., & Yanikomeroglu, H. (2022). A glimpse of physical layer decision mechanisms: Facts, challenges, and remedies. IEEE Open Journal of the Communications Society, 3, 1280-1294. External link
Göztepe, C., Özbek, B., & Karabulut Kurt, G. (2021). Design and Implementation of Spatial Correlation-Based Clustering for Multiuser MISO-NOMA Systems. IEEE Communications Letters, 25(1), 254-258. External link
Göztepe, C., Büyükçorak, S., Karabulut Kurt, G., & Yanikomeroglu, H. (2021). Localization Threats in Next-Generation Wireless Networks. IEEE Communications Magazine, 59(9), 51-57. External link
Geçgel, S., Göztepe, C., & Karabulut Kurt, G. (2020). Transmit Antenna Selection for Large-Scale MIMO GSM With Machine Learning. IEEE Wireless Communications Letters, 9(1), 113-116. External link
Geçgel, S., Göztepe, C., & Karabulut Kurt, G. (2019, April). Antenna Selection on Spatial Modulation: A Machine Learning Approach [Paper]. 27th Signal Processing and Communications Applications Conference (SIU 2019), Sivas, Turkey (4 pages). External link
Göztepe, C., & Karabulut Kurt, G. (2019). The impact of out of band emissions: A measurement based performance comparison of UF-OFDM and CP-OFDM. Physical Communication, 33, 78-89. External link
Geçgel, S., Göztepe, C., & Karabulut Kurt, G. (2019, May). Jammer Detection based on Artificial Neural Networks: A Measurement Study [Paper]. ACM Workshop on Wireless Security and Machine Learning (WiseML 2019), Miami, FL, USA. External link