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Articles by Nitin Panuganti
Predictive modeling of antenna performance using machine learning for IoT applications
Abstract The Internet of Things (IoT) is driving the demand for compact, energy-efficient antennas capable of supporting massive, low-power wireless connectivity. Traditional antenna design workflows, which rely on full-wave electromagnetic (EM) simulations and physical prototyping, are computationally expensive and time-consuming—limiting rapid prototyping and scalability.
Server-Controlled Intelligent Reflecting Surface Networks for Optimized Beam Routing
References 1, , , et al., “A Survey of Intelligent Reflecting Surfaces: Performance Analysis, Extensions, Potential Challenges, and Open Research Issues, Vehicular,” Communications 51 (2025): 100859. 2 and , “ Intelligent Reflecting Surfaces for the Enhancement of 6G Internet of Things,” arXiv preprint arXiv:2207.07999, 2022. 3, , , et al., “Towards 6G Wireless Communication Networks: Vision, Enabling Technologies, and New Paradigm Shifts,” China Communications 20, no. 1 (2023): 1–20.
Adaptive Beamforming for Smart Antennas Using Double Deep Q‐Networks With Noisy Exploration and SINR Optimization
References 1 and , Smart Antennas for Wireless Communications: IS-95 and Third Generation CDMA Applications (Prentice Hall, 2000). 2 and , Introduction to Smart Antennas (CRC Press, 2007). 3, , and , “Impact of Metaheuristic Optimization Algorithms on Wireless Network Coverage Enhancement With Reconfigurable Intelligent Surfaces,” International Journal of Communication Systems 38, no. 5 (2025): e70026, https://doi.org/10.1002/dac.70026.
Impact of Metaheuristic Optimization Algorithms on Wireless Network Coverage Enhancement With Reconfigurable Intelligent Surfaces
Conflicts of Interest The authors declare no conflicts of interest. References 1, , and , “Intelligent Reflecting Surface (IRS)-Assisted Wireless Systems: A Survey,” IEEE Transactions on Communications 69, no. 5 (2021): 3366–3385. 2, , and , “Reconfigurable Intelligent Surface (RIS)-Assisted Wireless Networks: A Comprehensive Review,” IEEE Access 10 (2022): 54623–54643. 3, “RIS for 6G Wireless Networks: Opportunities and Challenges,” IEEE Wireless Communications 27, no. 6 (2020): 118–125.
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