Application of artificial intelligence method in adaptive antenna system
DOI:
https://doi.org/10.30837/rt.2023.4.215.08Keywords:
adaptive antenna system, artificial intelligence, intelligent agent, artificial intelligence moduleAbstract
The requirements for adaptive antenna systems in modern and future wireless networks of the fifth (5G) and sixth (6G) generations are analyzed. The block diagram of the adaptive antenna system is presented and the basic principle of its operation is described. It is proposed to improve the block diagram of a modern adaptive antenna system by integrating an artificial intelligence module into it. The principle of interaction of the artificial intelligence module with the adaptive antenna system in the block diagram is shown and described. One of the methods of artificial intelligence (machine learning), the intelligent agent, is described and its mathematical model is presented. The possibility of applying the considered method in the cellular environment of a wireless communication network to improve the operation of an adaptive antenna system is shown. An example of the operation of an artificial intelligence module as part of an adaptive antenna system using an intelligent agent method is given. It is shown that, using the machine learning method, an intelligent agent within a single wireless communication cell can create a certain knowledge system capable of understanding and learning, taking into account the patterns of subscribers’ movement within the cell and predicting the direction of movement of a particular subscriber terminal. The resulting knowledge system is formed in an artificial intelligence module, which is included in the block diagram of a modern adaptive antenna system proposed in this paper, and can potentially be used to more accurately control the directional pattern of an adaptive antenna system. The idea proposed in this paper potentially allows us to develop the concept of a smart antenna, as well as to improve the characteristics of adaptive antenna systems, namely, to increase the energy efficiency of these systems by more accurately realizing the directivity characteristics and intelligent control of the radiation pattern petals using artificial intelligence.
References
Mamta A., Abhishek R., Navrati S. Next Generation 5G Wireless Networks: A Comprehensive Survey // IEEE Communications Surveys & Tutorials. 2016. Vol. 18, № 3. P. 1617–1655.
Dogra A., Rakesh K Jha, Jain S. A Survey on beyond 5G network with the advent of 6G: Architecture and Emerging Technologies // IEEE Access. 2020. Vol. 9. P. 67512–67547,
Abdel Hakeem S.A., Hussein H.H. and Kim H. Vision and research directions of 6G technologies and applications // Journal of King Saud University – Computer and Information Sciences. 2022. Vol. 34. P. 2419–2442.
Yang H., Alphones A., Xiong Z., Niyato D., Zhao J., Wu K. Artificial Intelligence-Enabled Intelligent 6G Networks // IEEE Network. 2020. Vol. 34, Issue 6. P. 272–280.
Constantine A. Balanis Modern antenna handbook. USA : Includes index. ISBN 978-0-470-03634-1 (cloth) 1. Antennas (Electronics) I. Title. TK7871.6.B354 2008. 1700 p.
Nathan Blaunstein, Christos G. Christodoulou. Radio propagation and adaptive antennas for wireless communication links. USA : Includes index. ISBN-13: 978-0-471-25121-7, ISBN-10: 0-471-25121-6, TK7871.67.A33.B55 2007. 614 p.
Jagadeesha R Bhat, Salman A. Al Qahtani. 6G Ecosystem: Current Status and Future Perspective // IEEE Access. 2021. Vol. 9. P. 43134–43167.
Robin Chataut, Robert Akl. Massive MIMO Systems for 5G and beyond Networks – Overview, Recent Trends, Challenges, and Future Research Direction // MDPI Sensors Academic Open Access Publishing. 2020. Vol. 20, Issue 10. P. 2753.
Qimei Cui, Yifei Yuan. Experimental investigation on a vertical sectorization system with active antenna // IEEE Communications Magazine. 2016. Vol. 54, no. 9. P. 89 – 97.
Alan J. Fenn. Adaptive Antennas and Phased Arrays for Radar and Communications. USA : Massachusetts Institute of Technology, Includes index. ISBN 13: 978-1-59693-273-9, 2008. 394 p.
Edvin J. Kitindi Capabilities of smart antenna in tracking the desired signal in wireless communication system through non-blind adaptive algorithms // International Journal of Advanced Research in Computer and Communication Engineering. 2015. Vol. 4, Issue 2. P. 5–9.
Meet the IBM Artificial Intelligence Unit. The access mode: https://research.ibm.com/blog/ibm-artificial-intelligence-unit-aiu
Gerhard Weiss. Multiagent Systems. A Modern Approach to Distributed Artificial Intelligence // The MIT Press.: Includes index. ISBN 9780262731317, 2000. 644 p.
Tanveer J., Haider A., Ali R., Kim A. Reinforcement Learning-Based Optimization for Drone Mobility in 5G and Beyond Ultra-Dense Networks // CMC Computers, Materials & Continua. 2021. Vol. 68, no. 3. P. 3807–3823.
Wen Tong, Peiying Zhu. 6G: The Next Horizon: From Connected People and Things to Connected Intelligence. Cambridge University Press, Includes index. ISBN: 1108839320, 2021. 490 p.
Rozhnovskiy M.V., Rozhnovskaya I. Yu. Application of machine learning method in massive MIMO antenna technologies // Advanced Technology in Information and Communication Engineering : International Conference, July, 18, 2023 : proc. of conf. Odesa, Ukraine. P. 98–101.
Jawad Tanveer, Amir Haider, Rashid Ali, Ajung Kim. An Overview of Reinforcement Learning Algorithms for Handover Management in 5G Ultra-Dense Small Cell Networks // MDPI Applied Sciences. 2022. Vol. 12, Issue 1. P. 426.
Trotsko V.V. Methods of artificial intelligence: Educational and methodological manual (in ukr.). Kyiv : University of Economics and Law “KROC”, 2020. P. 86.
Downloads
Published
How to Cite
Issue
Section
License
Authors who publish with this journal agree to the following terms:
1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).