The field of telecommunication engineering has undergone remarkable progress, focusing on enhancing data transfer speed and reliability. Despite these advancements, challenges remain, particularly concerning the growing demand for bandwidth and the need for more efficient communication systems. In contrast, neural communication, a burgeoning field, seeks to leverage neural networks' principles in communication systems. The convergence of telecommunication engineering and neural communication holds promise for revolutionary advancements in communication methods. This research paper presents an overview of telecommunication engineering, encompassing key concepts, technologies, current challenges, and research areas. It also addresses neural communication, covering its key concepts, technologies, current challenges, and research areas. Furthermore, the paper explores the intersection of telecommunication engineering and neural communication, highlighting ongoing research and development, potential future developments, and potential applications. The paper concludes by summarizing key findings and recommending directions for future research in this exciting area.
Keywords
Telecommunication Engineering, Neural Communication, Communication Systems, Satellite Communications.
P. V. Kodavanti, P. V. Y. Jayasree, and P. R. Bhima, “Design and development of super wideband dielectric resonator antenna for next-generation telecommunications,” Telecommun. Radio Eng., vol. 82, no. 1, pp. 53–64, 2023.
C. Yuan, P. Yu, and Y. Wu, “A survey on neural network-based image data hiding for secure communication,” Int. J. Auton. Adapt. Commun. Syst., vol. 17, no. 2, p. 1, 2024.
X. Liu, “Data information security of communication network based on edge computing technology and BP neural network,” Telecommun. Radio Eng., vol. 78, no. 20, pp. 1837–1845, 2019.
K. Howells and E. Soujeri, “A short history and review of telecommunications in Cyprus,” in 2021 7th IEEE History of Electrotechnology Conference (HISTELCON), 2021.
“Alexander Graham Bell patents the telephone,” HISTORY, 24-Nov-2009. [Online]. Available: https://www.history.com/this-day-in-history/alexander-graham-bell-patents-the-telephone. [Accessed: 15-Jan-2023].
The Editors of Encyclopedia Britannica, “Sputnik,” Encyclopedia Britannica. 14-Mar-2022.
G. Gibbons, “GPS & Galileo: Prospects for building the next generation of global navigation satellite systems,” J. Glob. Position. Syst., vol. 3, no. 1 & 2, pp. 12–15, 2004.
C.-W. Peng, C.-W. Chow, D.-C. Tsai, Y. Liu, and C.-H. Yeh, “Mitigation of PAM4 rolling shuttered pattern grayscale ambiguity in demodulation utilizing long short term memory neural network (LSTM-NN) in optical wireless communication systems,” Opt. Commun., vol. 532, no. 129260, p. 129260, 2023.
ASCE Task Committee on Application of Artificial Neural Networks in Hydrology, “Artificial neural networks in hydrology. I: Preliminary concepts,” J. Hydrol. Eng., vol. 5, no. 2, pp. 115–123, 2000.
B. Evstatiev, Department of Electronics, University of Ruse Angel Kanchev, Ruse, Bulgaria, T. Hristova, and K. Gabrovska-Evstatieva, “Investigation of engineering students’ attitude towards virtual labs during the COVID-19 distance education,” Int. J. Electr. Electron. Eng. Telecommun., pp. 373–384, 2022.
A. Pantazi, B. Rajendran, O. Simeone, and E. Neftci, “Editorial: Neuro-inspired computing for next-gen AI: Computing model, architectures and learning algorithms,” Front. Neurosci., vol. 16, p. 974627, 2022.
Y. Bi, Q. Xu, H. Geng, S. Chen, and Y. Kang, “Resist: Robust network training for memristive crossbar-based neuromorphic computing systems,” IEEE Trans. Circuits Syst. II Express Briefs, pp. 1–1, 2023.
S. Ma et al., “Covert beamforming design for integrated radar sensing and communication systems,” IEEE Trans. Wirel. Commun., vol. 22, no. 1, pp. 718–731, 2023.
Shanthi, S., Saradha, S., Smitha, J.A., Prasath, N., Anandakumar, H., “An efficient automatic brain tumor classification using optimized hybrid deep neural network”, International Journal of Intelligent Networks, 3, pp. 188-196. 2022. DoI: 10.1016/j.ijin.2022.11.003
Anandakumar, H., Arulmurugan, R.,” Supervised, unsupervised and reinforcement learning-a detailed perspective”, Journal of Advanced Research in Dynamical and Control Systems, 11 (6), pp. 429-433. 2019
Roshini, A., Anandakumar, H., “Hierarchical cost effective leach for heterogeneous wireless sensor networks”, ICACCS 2015 - Proceedings of the 2nd International Conference on Advanced Computing and Communication Systems, art. no. 7324082,2015, DoI: 10.1109/ICACCS.2015.7324082.
Anandakumar, H., Arulmurugan, R.,”Artificial Intelligence and Machine Learning for Enterprise Management”, Proceedings of the 2nd International Conference on Smart Systems and Inventive Technology, ICSSIT 2019, art. no. 8987964, pp. 1265-1269. 2019. DoI: 10.1109/ICSSIT46314.2019.8987964
Umadevi, K.S., Thakare, K.S., Patil, S., Raut, R., Dwivedi, A.K., Haldorai, A., “ Dynamic hidden feature space detection of noisy image set by weight binarization”, Signal, Image and Video Processing, 17 (3), pp. 761-768. 2023. DoI: 10.1007/s11760-022-02284-2.
Amanullah, M., Thanga Ramya, S., Sudha, M., Gladis Pushparathi, V.P., Haldorai, A., Pant, B., “Data sampling approach using heuristic Learning Vector Quantization (LVQ) classifier for software defect prediction”, Journal of Intelligent and Fuzzy Systems, 44 (3), pp. 3867-3876. 2023. DoI: 10.3233/JIFS-220480
Haldorai, A., Kandaswamy, U., “Energy efficient network selection for cognitive spectrum handovers”, EAI/Springer Innovations in Communication and Computing, pp. 41-64. 2019. DoI: 10.1007/978-3-030-15416-5_3
Haldorai, A., Ramu, A., “The Impact of Big Data Analytics and Challenges to Cyber Security”, Research Anthology on Big Data Analytics, Architectures, and Applications, 3, pp. 1216-1230. 2022.DoI: 10.4018/978-1-6684-3662-2.ch058
Subha, R., Haldorai, A., Ramu, A., “An Optimal Approach to Enhance Context Aware Description Administration Service for Cloud Robots in a Deep Learning Environment”, Wireless Personal Communications, 117 (4), pp. 3343-3358. 2021.DoI: 10.1007/s11277-021-08073-3
Acknowledgements
We would like to thank Reviewers for taking the time and effort necessary to review the manuscript. We sincerely appreciate all valuable comments and suggestions, which helped us to improve the quality of the manuscript.
Funding
No funding was received to assist with the preparation of this manuscript.
Ethics declarations
Conflict of interest
The authors have no conflicts of interest to declare that are relevant to the content of this article.
Availability of data and materials
No data available for above study.
Author information
Contributions
All authors have equal contribution in the paper and all authors have read and agreed to the published version of the manuscript.
Corresponding author
Anandakumar Haldorai
Anandakumar Haldorai
Department of Computer Science and Engineering, Sri Eshwar College of Engineering, Coimbatore, India.
Open Access This article is licensed under a Creative Commons Attribution NoDerivs is a more restrictive license. It allows you to redistribute the material commercially or non-commercially but the user cannot make any changes whatsoever to the original, i.e. no derivatives of the original work. To view a copy of this license, visit https://creativecommons.org/licenses/by-nc-nd/4.0/
Cite this article
Anandakumar Haldorai, “Key Concepts, Technologies, Current Challenges and Research Areas of Telecommunication Engineering and Neural Communication”, Journal of Biomedical and Sustainable Healthcare Applications, vol.3, no.1, pp. 034-044, January 2023. doi: 10.53759/0088/JBSHA202303004.
