Field Adaptive Antennas for Real Time Electromagnetic Radiation Regulation and Stability
DOI:
https://doi.org/10.31838/NJAP/08.01.14Keywords:
Field-adaptive antennas, Real-time electromagnetic radiation regulation, Radiation stability metrics, Dynamic antenna environments, Feedback-controlled antenna systemsAbstract
The antennas that are used in an actual wireless scenario are continually subjected to dynamic perturbations through the presence of users, platform movements, and objects around, which cause temporal unsteadiness in electromagnetic radiation properties. Natural antenna design and reconfigurational practices are largely geometry-based and reactive, and respond to performance degradation once it has been experienced. This paper presents a field-adaptive antenna paradigm whereby the behaviour of electromagnetic radiation (rather than the electromagnetic fields) is also monitored, regulated, and stabilised in real-time. The presented model considers the antenna to be a dynamic electromagnetic system, the radiation state of which changes with time and may be actively controlled by the continuous feedback. To measure temporal fidelity of the antenna behaviour, new radiation stability measures are established and a real time regulation policy is developed to reduce radiation drift in the case of environmental perturbation. By using time-resolved electromagnetic full-wave simulations of a microstrip antenna perturbed under controlled conditions, the approach is justified. Findings indicate that real time radiation control can substantially control the field deviation, stabilize far field patterns and give consistent performances as opposed to unregulated and purely reactive systems. This framework is to be replicateable and applicable in realistic computational and latency limitations, creating a platform of strong antenna functionality in dynamic and embedded wireless networks.
References
1. Babich, F., Comisso, M., D'Orlando, M., & Manià, L. (2006). Interference mitigation on WLANs using smart antennas. Wireless Personal Communications, 36(4), 387-401.
2. Velliangiri, A. (2025). Hardware-Adaptive Acceleration of Multi-Fidelity Surrogate Optimization for Real-Time Wind Farm Micro-Siting. Archives of Embedded and IoT Systems Engineering, 35-44.
3. Charpe Prasanjeet Prabhakar. (2025). Runtime-Tunable Electromagnetic Hardware Architectures with Measurement-Aligned Structural Adaptation. Journal of Advanced Antenna and RF Engineering, 25–31.
4. Castellanos, M. R., & Heath, R. W. (2024). Electromagnetic manifold characterization of antenna arrays. IEEE Transactions on Wireless Communications.
5. Kumar, P., & Selvan, P. (2023). Spectrum Sensing Using Optimized Deep Learning Techniques in Reconfigurable Embedded Systems. Intelligent Automation & Soft Computing, 36(2).
6. Mackertich-Sengerdy, G., Campbell, S. D., & Werner, D. H. (2023). Tailored compliant mechanisms for reconfigurable electromagnetic devices. Nature communications, 14(1), 683.
7. C. Arun Prasath. (2025). Learning-Guided Electromagnetic Structure Synthesis for Body-Proximate Multi-Port Radiators under Spectral Constraints. IAECER Journal of Electronics and Communication Engineering, 27–33.
8. Prerna Dusi, “Environment-Adaptive Learning-Assisted Predictive Control for Real-Time Crowd Navigation in Pervasive Systems”, Archives of Electronics, Communication and Emerging Technologies, pp. 18–24,
9. Mashayekhi, M., Kabiri, P., Nooramin, A. S., & Soleimani, M. (2023). A reconfigurable graphene patch antenna inverse design at terahertz frequencies. Scientific Reports, 13(1), 8369.
10. Psomas, C., Ntougias, K., Shanin, N., Xu, D., Mayer, K., Tran, N. M., ... & Krikidis, I. (2024). Wireless information and energy transfer in the era of 6G communications. Proceedings of the IEEE, 112(7), 764-804.
11. Gaurav Tamrakar, “Adaptive Trust Evaluation under Dynamic Service Conditions Using Distributed Verification”, Recent Advances in Next-Generation Wireless Communication Systems, pp. 36–42.
12. Wen, E., Yang, X., & Sievenpiper, D. F. (2023). Real-data-driven real-time reconfigurable microwave reflective surface. Nature Communications, 14(1), 7736.
13. Siddiqui, A. A., Manzoor, M. M., Ijaz, A., Khan, A. U., Awan, I. A., & Chand, S. L. (2011, July). Interference mitigation in 4G system using smart antenna. In 2011 International Conference on Information and Communication Technologies (pp. 1-6). IEEE.
14. Wang, W. (2020, March). Research on smart antenna system based on beamforming algorithm. In IOP Conference Series: Materials Science and Engineering (Vol. 782, No. 4, p. 042049). IOP Publishing.
15. O. J. M. Smith, K. N. Kantor, A. A. Zaky, G.F. Freire. (2025). Low-Profile Ultra-Wideband Antenna with Integrated Filtering for High-Data-Rate Wireless Communication Systems. National Journal of Antennas and Wireless Communication Systems, 1(1), 36–43.
16. Reginald, P. J. (2025). Embedded Intelligent Reconfigurable Metasurface Architectures for Adaptive Full-Duplex RF Front-End Systems. Journal of Advanced Antenna and RF Engineering, 10-17.
17. Wnuk, M. (2024). Adaptive Antenna Array Control Algorithm in Radiocommunication Systems. Algorithms, 17(2), 81.
18. Karahan, E. A., Liu, Z., Gupta, A., Shao, Z., Zhou, J., Khankhoje, U., & Sengupta, K. (2024). Deep-learning enabled generalized inverse design of multi-port radio-frequency and sub-terahertz passives and integrated circuits. Nature communications, 15(1), 10734.
19. Q. Hugh, Freddy Soria, C. C. Kingdon, Robert G. Luedke. (2026). An Intelligent Embedded System Architecture for Reals-Time Signal Processing in IoT Platforms. National Journal of Integrated VLSI and Signal Intelligence, 1(1), 34-41.
20. Pietrenko-Dabrowska, A., & Koziel, S. (2024). Variable resolution machine learning optimization of antennas using global sensitivity analysis. Scientific Reports, 14(1), 27783.
21. Muralidharan, J. (2024). Compact reconfigurable antenna with frequency and polarization agility for cognitive radio applications. National Journal of RF Circuits and Wireless Systems, 1(2), 16–26.
22. Chandrakumar, R., & Aleem, F. M. (2026). Hardware-in-the-loop validation of SDR-based reconfigurable transceivers for tactical wireless communication systems. National Journal of RF Circuits and Wireless Systems, 3(1), 57–63.
23. Namrata Mishra, “Machine Learning–Driven Approaches for Efficient Integrated Circuit Design and Optimization”, National Journal of VLSI Systems and Integrated Circuit Design, vol. 1, no. 1, pp. 10–17
24. Zhang, N., Chen, K., Zhao, J., Hu, Q., Tang, K., Zhao, J., ... & Feng, Y. (2022). A dual-polarized reconfigurable reflectarray antenna based on dual-channel programmable metasurface. IEEE Transactions on Antennas and Propagation, 70(9), 7403-7412.
25. Zhang, L., Chen, X. Q., Liu, S., Zhang, Q., Zhao, J., Dai, J. Y., ... & Cui, T. J. (2018). Space-time-coding digital metasurfaces. Nature communications, 9(1), 4334.
26. Xu, R., Ding, J. F., Ma, X. X., Yan, C., Yao, Y. X., & Huang, J. Q. (2021). Designing and demystifying the lithium metal interface toward highly reversible batteries. Advanced Materials, 33(52), 2105962.
27. Shlezinger, N., Dicker, O., Eldar, Y. C., Yoo, I., Imani, M. F., & Smith, D. R. (2019). Dynamic metasurface antennas for uplink massive MIMO systems. IEEE transactions on communications, 67(10), 6829-6843.
