Faculty Publications

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Publications by NITK Faculty

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    Enhancing Smart City Connectivity: Implementing Channel-Adaptive Strategies for FSO-Based Drone-Assisted Mobile Access Networks in Urban Environments
    (Institute of Electrical and Electronics Engineers Inc., 2025) Aarthi, G.; Bhargava Kumar, L.; Vaidya, M.; Nema, S.; Krishnan, P.; Sangeetha, A.; Natarajan, R.; Karthikeyan, K.
    The global surge in urbanization has catalyzed the evolution of smart city infrastructures, characterized by expansive interconnected networks spanning vast urban landscapes. To address the connectivity challenges inherent in smart city environments, this study advocates for the utilization of autonomous aerial vehicles (AAVs) as an alternative to traditional mobile air base stations. Leveraging Free-Space Optical (FSO) links for downlink transmission from AAVs to users, the proposed system confronts atmospheric turbulence and pointing loss impairments. In this context, the study explores the average spectral efficiency (ASE) performance of the proposed FSO-based Drone-Assisted system employing various channel adaptive techniques, including Optimal Rate Adaptation, Channel Inversion with Fixed Rate, Optimal Power and Rate Adaptation, and Truncated Channel Inversion with Fixed Rate. Additionally, the investigation underscores the impact of factors such as link range, coverage distance, AAV orientation fluctuation standard deviation, AAV position vibration standard deviation, and beam divergence on system performance. By elucidating these aspects, the research aims to contribute valuable insights into the optimization of smart city connectivity, paving the way for enhanced communication infrastructure in urban environments. Notably, the study achieved a maximum ASE of 101 bits/s/Hz using the TIFR adaptation scheme, underscoring the efficacy of the proposed approach. © 2013 IEEE.
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    SLIPT Enabled Ground-to-UAV FSO Communication for SAGNET in 6G-IoT Systems
    (Institute of Electrical and Electronics Engineers Inc., 2025) Kavitha, K.; Kavitha, K.; Angayarkanni, V.; Krishnan, P.
    The development of 6G-IoT aims to provide seamless connectivity across space, air, ground, sea, and underwater networks. Uncrewed Aerial Vehicles (UAVs) with Free-Space Optical (FSO) communication are crucial in these networks, but their power limitations challenge sustained operation. This paper explores Simultaneous Lightwave Information and Power Transfer (SLIPT) for Ground-to-UAV (G2U) FSO communication, focusing on four methods: AC-DC separation (ADS), time switching (TS), power splitting (PS), and time switching-power splitting (TSPS). We derive closed-form expressions for harvested energy, Symbol Error Rate (SER), and outage probability under a generalized Málaga distribution, considering atmospheric attenuation, turbulence, and pointing errors. Our study examines the impact of SLIPT methods on harvested energy and SER, analyzing link distances, atmospheric conditions, pointing errors, and weather. Optimal beamwidth and receiver Field of View (FOV) values are identified to maximize energy and minimize SER. Findings show the TSPS method yields the highest harvested energy, achieving 0.04 mJ under strong turbulence, due to its dual-phase approach. The proposed SLIPT methods enhance UAV energy efficiency and improve SER performance, achieving a SER of 10-4 at an SNR of 30 dB, providing key insights for 6G-IoT optimization. © 2017 IEEE.