Model of packet transmission of text data using SDR in the GNU Radio Companion environment
Article Sidebar
Issue Vol. 16 No. 1 (2026)
-
Efficient CNN-based classification of white blood cells: a comparative study of model performance
Achraf Benba, Sara Sandabad5-9
-
Automated skin cancer diagnosis using deep learning: a systematic review of state-of-the-art architectures, techniques and performance evaluation
Subaidabeevi Shafeena, Ramayyan Sumathy Vinod Kumar, Sikamony Sumathi Kumar, David Shahi10-20
-
Enhancing driver safety with ECG-based emotion recognition using BiLSTM networks
Raga Madhuri Chandra, Satya Sumanth Vanapalli, Giri Venkata Sai Tej Neelaiahgari21-28
-
An automated system for calibration table calculation of cylindrical horizontal tanks
Denis Proskurenko, Mykhailo Bezuglyi29-34
-
Control of water–diesel emulsion stability using turbidity measurements
Oleksandr Zabolotnyi, Andrii Khodieiev, Nicolay Koshevoy, Roman Trishch35-41
-
Improving the induction motor starting mode under a voltage drop conditions
Oleksandr Vovk, Serhii Halko, Andrii Sabo, Oleksandr Miroshnyk, Taras Shchur42-47
-
Modelling of dynamic modes in a DC motor for electric vehicle
Viktor Lyshuk, Anatolii Tkachuk, Sergiy Moroz, Mykola Yevsiuk, Mykola Khvyshchun, Stanislav Prystupa, Valentyn Zablotskyi48-55
-
Development and analysis of power grid failure scenarios using ontology, power flow model, and knowledge graph
Oleksandr Khomenko, Vyacheslav Senchenko, Oleksandr Koval, Iryna Husyeva56-61
-
Kinetics of grain material drying in installations with intermittent energy supply by microwave and infrared radiation
Roman Kalinichenko, Valentyna Bandura, Borys Kotov, Yurii Pantsyr, Ihor Garasymchuk, Serhii Stepanenko62-66
-
Smartphone shell temperature controller automatic tuning method
Danylo Zinchenko, Yurii Mariiash67-71
-
Using FPGA for modelling and generating chaotic processes
Oleksandr Osadchuk, Iaroslav Osadchuk, Valentyn Skoshchuk72-77
-
Simulation and electronic design of a chaotic 5d artificial neural network
Michael Kopp, Inna Samuilik78-83
-
Intelligent DL-SCH/PDSCH processing chain in 5G with adaptive HARQ mechanism
Juliy Boiko, Ilya Pyatin84-93
-
Exploring generative models for remote sensing: a comprehensive review
Gottapu Santosh Kumar, Gurugubelli Jagadeesh, Swarajya Madhuri Rayavarapu94-98
-
Ensemble noise-aided bit flipping decoding of low-density parity-check codes
Mykola Shtompel, Oleksandr Shefer99-103
-
Knowledge sharing in Independent Deep Q-Network
Viacheslav Bochok, Nataliia Fedorova104-108
-
Detection of humans in drone images using deep learning techniques
Sobhana Mummaneni, Naga Deepika Ginjupalli, Pragathi Dodda, Novaline Jacob, Sanjay Raj Emmanuel Katari109-115
-
Comparative analysis of DeepSORT, ByteTrack and StrongSORT algorithms for multi-object tracking in UAV-based video surveillance
Andrii Safonyk, Viktor Podvyshennyi, Oleksandr Naumchuk116-120
-
Highly efficient approaches to processing complex visual data in decision support systems
Oleksandr Poplavskyi, Sergii Pavlov, Oksana Bezsmernta, Iryna Gerasymova, Bakhyt Yeraliyeva121-125
-
Anti-aliasing method for second-order curves on a hexagonal raster
Oleksandr Melnyk, Tetiana Prysiazhniuk126-129
-
Method for assessing the risk of user compromise based on individual security profile
Svitlana Lehominova, Mykhailo Zaporozhchenko, Tetiana Kapeliushna, Yuriy Shchavinsky, Tetiana Muzhanova130-137
-
Positional coding method in differential wave space
Volodymyr Barannik, Anatolii Berchanov, Valeriy Barannik, Dmytro Uzlov, Mykola Dihtiar, Mykhailo Osovytskyi, Andrii Sushko, Yurii Babenko138-146
-
Web platform with Checkbox support: aspects of fiscal accounting, reporting, and interaction with tax authorities
Yuliia Povstiana, Lyudmila Samchuk, Ivan Kachula147-154
-
Comparative analysis of web development frameworks in PHP: Codeigniter, Cakephp and Yii
Karol Rak, Mariusz Dzieńkowski155-161
-
Crop price forecasting using a Temporal Fusion Transformer for Krishna district of Andhra Pradesh
Dedeepya Manikonda, Ashutosh Satapathy, Keerthi Padamata, Jaswanthi Machcha, J. Chandrakanta Badajena162-170
-
Model of packet transmission of text data using SDR in the GNU Radio Companion environment
Nurbol Kaliaskarov, Kyrmyzy Taissariyeva, Nurlykhan Raulyev, Akezhan Sabibolda171-176
-
Modelling of a pull-flow production system with dynamic buffer stock control
Saad Elbaraka, Salah-eddine Mokhlis, Adil Barra, Hicham Fouraiji, Mohamed Rhouzali, Najat Messaoudi177-182
Archives
-
Vol. 16 No. 1
2026-03-30 27
-
Vol. 15 No. 4
2025-12-20 27
-
Vol. 15 No. 3
2025-09-30 24
-
Vol. 15 No. 2
2025-06-27 24
-
Vol. 15 No. 1
2025-03-31 26
-
Vol. 14 No. 4
2024-12-21 25
-
Vol. 14 No. 3
2024-09-30 24
-
Vol. 14 No. 2
2024-06-30 24
-
Vol. 14 No. 1
2024-03-31 23
-
Vol. 13 No. 4
2023-12-20 24
-
Vol. 13 No. 3
2023-09-30 25
-
Vol. 13 No. 2
2023-06-30 14
-
Vol. 13 No. 1
2023-03-31 12
-
Vol. 12 No. 4
2022-12-30 16
-
Vol. 12 No. 3
2022-09-30 15
-
Vol. 12 No. 2
2022-06-30 16
-
Vol. 12 No. 1
2022-03-31 9
Main Article Content
DOI
Authors
k.taisariyeva@satbayev.university
Abstract
This paper outlines the design, implementation, and testing of a digital transmission system capable of sending text data in packetized form using QPSK modulation. The setup leverages Software-Defined Radio (SDR) hardware in combination with GNU Radio Companion software. The system operates by initiating transmission from a configured source, transmitting the data wirelessly, and recovering the signal at the receiver end for decoding and analysis. Two configurations were tested: one using a pseudo-random bit sequence and another using actual file input with both source and channel coding mechanisms. Signal behavior was examined at various stages in the processing chain, including modulation, filtering, over-the-air transmission, synchronization, equalization, and phase correction. Analytical tools such as constellation plots, IQ diagrams, and spectral analysis were employed to evaluate system performance and signal integrity. The model successfully demonstrated reliable data transmission and reconstruction, making it a useful platform for both educational purposes and further exploration in the area of digital communications.
Keywords:
References
[1] Akyildiz, I. F. & Xudong Wang. (2005). A survey on wireless mesh networks. IEEE Communications Magazine, 43(9), S23–S30. https://doi.org/10.1109/MCOM.2005.1509968 DOI: https://doi.org/10.1109/MCOM.2005.1509968
[2] Arjoune, Y., & Kaabouch, N. (2018). Wideband Spectrum Sensing: A Bayesian Compressive Sensing Approach. Sensors, 18(6), 1839. https://doi.org/10.3390/s18061839 DOI: https://doi.org/10.3390/s18061839
[3] Camuñas-Mesa, L. A., & De La Rosa, J. M. (2023). Combining Software-Defined Radio Learning Modules and Neural Networks for Teaching Communication Systems Courses. Information, 14(11), 599. https://doi.org/10.3390/info14110599 DOI: https://doi.org/10.3390/info14110599
[4] Faulkner, E., Yun, Z., Zhou, S., Shi, Z. J., Han, S., & Giannakis, G. B. (2021). An Advanced GNU Radio Receiver of IEEE 802.15.4 OQPSK Physical Layer. IEEE Internet of Things Journal, 8(11), 9206–9218. https://doi.org/10.1109/JIOT.2021.3057472 DOI: https://doi.org/10.1109/JIOT.2021.3057472
[5] Fokin, G. (2019). Principles and Technologies of Digital Communication Based on Software Defined Radio: A Review of Modern Trends in the Field of Creating a Curricculum. Proceedings of Telecommunication Universities, 5(1), 78–94. https://doi.org/10.31854/1813-324X-2019-5-1-78-94 DOI: https://doi.org/10.31854/1813-324X-2019-5-1-78-94
[6] Gandhiraj, R., & Soman, K. P. (2014). Modern analog and digital communication systems development using GNU Radio with USRP. Telecommunication Systems, 56(3), 367–381. https://doi.org/10.1007/s11235-013-9850-7 DOI: https://doi.org/10.1007/s11235-013-9850-7
[7] Kurskoy, Y., Hnatenko, O., Sherstyuk, D., Zarytskyi, V., Chernovolyk, G., Nussupbekova, G., Pogrebniak, L., Kisała, P., Klimek, J., & Muslimov, K. (2024). Precision control model for chaotic laser generation in optical communication and laser measurement systems. In R. S. Romaniuk, A. Smolarz, & W. Wójcik (Eds), Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2024 (p. 10). SPIE. https://doi.org/10.1117/12.3054872 DOI: https://doi.org/10.1117/12.3054872
[8] Lodro, M., Gradoni, G., Smartt, C., Thomas, D., & Greedy, S. (2022). Compact MIMO System Performances in Metallic Enclosures. Electronics, 11(24), 4188. https://doi.org/10.3390/electronics11244188 DOI: https://doi.org/10.3390/electronics11244188
[9] Mozef, E., Rasyid, R. S., Sulaeman, E., Mulyana, T. R., Al Farik, F., & Junjunan, T. Q. (2025). Phase-Sensitive Radar Using ADALM-Pluto SDR and Cantenna for Sub-Millimeter Displacement Measurement. Jurnal Elektronika Dan Telekomunikasi, 25(2), 126. https://doi.org/10.55981/jet.757 DOI: https://doi.org/10.55981/jet.757
[10] Narayana, N., & Sure, P. (2023). Performance of a Software Defined Radio based Non-Coherent OFDM Wireless Link. International Journal of Electronics and Telecommunications, 537–544. https://doi.org/10.24425/ijet.2023.146504 DOI: https://doi.org/10.24425/ijet.2023.146504
[11] Nomura, K., & Sato, F. (2014). A Performance Study of ZigBee Network under Wi-Fi Interference. 2014 17th International Conference on Network-Based Information Systems, 201–207. https://doi.org/10.1109/NBiS.2014.86 DOI: https://doi.org/10.1109/NBiS.2014.86
[12] Romaniuc, A.-G., Vasile, V.-C., & Borda, M.-E. (2022). Experimental Determination of the Area Coverage of a TETRA Base Station in a Dense Urban Area. 2022 International Symposium on Electronics and Telecommunications (ISETC), 1–4. https://doi.org/10.1109/ISETC56213.2022.10009957 DOI: https://doi.org/10.1109/ISETC56213.2022.10009957
[13] Sabibolda, A., Tsyporenko, V., Smailov, N., Tsyporenko, V., & Abdykadyrov, A. (2024). Estimation of the Time Efficiency of a Radio Direction Finder Operating on the Basis of a Searchless Spectral Method of Dispersion-Correlation Radio Direction Finding. In A. Tuleshov, A. Jomartov, & M. Ceccarelli (Eds), Advances in Asian Mechanism and Machine Science (Vol. 167, pp. 62–70). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-67569-0_8 DOI: https://doi.org/10.1007/978-3-031-67569-0_8
[14] Seidaliyeva, U., Ilipbayeva, L., Taissariyeva, K., Smailov, N., & Matson, E. T. (2023). Advances and Challenges in Drone Detection and Classification Techniques: A State-of-the-Art Review. Sensors, 24(1), 125. https://doi.org/10.3390/s24010125 DOI: https://doi.org/10.3390/s24010125
[15] Shchepak, A., Parkhomenko, V., & Parkhomenko, V. (2021). Developing solution for using artificial intelligence to obtain more accurate results of the basic parameters of radio signal propagation. Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 11(1), 36–39. https://doi.org/10.35784/iapgos.2577 DOI: https://doi.org/10.35784/iapgos.2577
[16] Șorecău, M., Șorecău, E., Sârbu, A., & Bechet, P. (2023). Real-Time Statistical Measurement of Wideband Signals Based on Software Defined Radio Technology. Electronics, 12(13), 2920. https://doi.org/10.3390/electronics12132920 DOI: https://doi.org/10.3390/electronics12132920
[17] Stef, M. P., & Polgar, Z. A. (2024). Software Platform for the Comprehensive Testing of Transmission Protocols Developed in GNU Radio. Information, 15(1), 62. https://doi.org/10.3390/info15010062 DOI: https://doi.org/10.3390/info15010062
[18] Taissariyeva, K., & Seidaliyeva, U. (2017). Design of circuits of multilevel inverter on IGBT transistors with pulse-amplitude control (R. S. Romaniuk & M. Linczuk, Eds; p. 104455L). https://doi.org/10.1117/12.2280466 DOI: https://doi.org/10.1117/12.2280466
[19] Tymchenko, L., Kokriatska, N., Pavlov, S., Tverdomed, V., Lisovenko, I., Khomyuk, I., Koval, N., Ormanbekova, A., Grądz, Ż. M., & Issakozhayeva, I. (2024). Modified parallel-hierarchical transformation algorithm for processing of optical imaging. In R. S. Romaniuk, A. Smolarz, & W. Wójcik (Eds), Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2024 (p. 18). SPIE. https://doi.org/10.1117/12.3054898 DOI: https://doi.org/10.1117/12.3054898
[20] Tymchik, G. S., Stelmakh, N. V., Vasyura, A. S., Wójcik, W., & Muslimov, K. (2018). Automated generation of the design solution of the assembly in instrument engineering. In R. S. Romaniuk & M. Linczuk (Eds), Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018 (p. 128). SPIE. https://doi.org/10.1117/12.2501560 DOI: https://doi.org/10.1117/12.2501560
[21] Zhou, S., Du, W., Li, C., Liu, S., & Li, R. (2025). Research Progress on Modulation Format Recognition Technology for Visible Light Communication. Photonics, 12(5), 512. https://doi.org/10.3390/photonics12050512 DOI: https://doi.org/10.3390/photonics12050512
Article Details
Abstract views: 6

