An Analytical Approach to Uninterrupted UAV Video Communication: Simulations and Findings Yomi Guno School of Electrical Engineering and Informatics Bandung Institute of Technology Bandung, Indonesia yomi.guno@brin.go.id Joko Suryana School of Electrical Engineering and Informatics Bandung Institute of Technology Bandung, Indonesia joko.suryana@stei.itb.ac.id Frandi Adi Kaharjito Research Center for Electronics National Research & Innovation Agency Tangerang Selatan, Indonesia fran008@brin.go.id Trio Adiono School of Electrical Engineering and Informatics Bandung Institute of Technology Bandung, Indonesia tadiono@stei.itb.ac.id Irfansyah Yudhi Tanasa Research Center for Electronics National Research & Innovation Agency Tangerang Selatan, Indonesia irfa008@brin.go.id Asyaraf Hidayat Research Center for Electronics National Research & Innovation Agency Tangerang Selatan, Indonesia asya003@brin.go.id Fadjar Rahino Triputra Research Center for Electronics National Research & Innovation Agency Tangerang Selatan, Indonesia fadj002@brin.go.id Siti Vivi Octaviany Research center for Transportation National Research & Innovation Agency Tangerang Selatan, Indonesia siti069@brin.go.id Donatina Miswati Hadiyanti Technology Center for Aeronautics National Research & Innovation Agency Rumpin, Indonesia dona001@brin.go.id Wahyudi Technology Center for Aeronautics National Research & Innovation Agency Rumpin, Indonesia wahy023@brin.go.id Abstract—In UAV progression, investigations into uninter- rupted and real-time video communication are crucial. This research employs OFDM techniques to evaluate the Bit Error Rate (BER) using simulations and calculations, aiming to authen- ticate the quality of signals received by UAVs. This represents an initial study; subsequent validation through field testing is imperative. The dataset involves the Alap-Alap PA-1 UAV, equipment provided by the National Research and Innovation Agency (BRIN). The simulation findings reveal that with an SNR of 10.97 dB and a BER of 2.85 × 10 −7 , the UAV can maintain signal quality up to 50 km. However, signal quality declined at 100 km, with an SNR of 4.94 dB and a BER of 6.20 × 10 −3 . The methodology, incorporating multiple analytical calculations, is anticipated to significantly contribute to the UAV community and pave the way for advanced research on communication channel models tailored to Indonesian conditions. Index Terms—Alap-Alap PA-1 UAV, Bit error rate (BER), link budget analysis, signal-to-noise ratio (SNR), video link I. I NTRODUCTION UAVs have transformed multiple fields in the past two decades, initially primarily employed within military oper- ations. As advances in power sources, materials, and cost- effective manufacturing and operational procedures have con- tinued, the range of UAV applications has substantially broad- ened. Their utility extends beyond military contexts, finding successful applications in commercial sectors. Notable in- stances of this expanding applicability include remote sensing [1], surveillance operations [2], agricultural land mapping [3], and territorial condition monitoring [4]. The consideration of SNR and Link Budget constitutes a critical element in designing a UAV video communication system. The link budget, an inclusive calculation of all gains and losses from the transmitter, through the medium, to the receiver, plays a crucial role in defining the efficiency and reliability of the video communication system. It provides essential insights into power requirements at the transmitter and receiver, allowing for maintaining a robust communication link, even under challenging conditions. A comprehensive link budget analysis ensures that the communication link possesses sufficient signal strength to counteract various losses and maintain the desired signal quality, essential for seamless and uninterrupted video transmission [5]. Simultaneously, the SNR is an essential parameter in eval- 2023 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET) 979-8-3503-4389-2/23/$31.00 ©2023 IEEE 51 2023 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET) | 979-8-3503-4389-2/23/$31.00 ©2023 IEEE | DOI: 10.1109/ICRAMET60171.2023.10366537 Authorized licensed use limited to: Badan Riset Dan Inovasi Nasional. Downloaded on April 02,2024 at 21:54:25 UTC from IEEE Xplore. Restrictions apply.