Optimasi Penempatan UAV Relay Untuk Menjaga Line Of Sight Komunikasi FSO.

Kaiser, Kevin (2026) Optimasi Penempatan UAV Relay Untuk Menjaga Line Of Sight Komunikasi FSO. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Komunikasi Free Space Optics (FSO) merupakan teknologi nirkabel berkecepatan tinggi yang memanfaatkan berkas laser untuk mentransmisikan data melalui atmosfer, dengan keunggulan kapasitas data besar, keamanan tinggi, serta kebal terhadap interferensi elektromagnetik. Namun, kinerjanya sangat bergantung pada ketersediaan Line of Sight (LoS), sehingga rentan terhadap hambatan fisik seperti gedung serta kondisi atmosfer yang menimbulkan redaman dan turbulensi. Penelitian ini bertujuan mengoptimalkan penempatan tiga dimensi Unmanned Aerial Vehicle (UAV) yang berperan sebagai relay Decode-and-Forward dua hop untuk membangun kembali jalur LoS alternatif antara dua ground station yang tautan langsungnya terhalang, sehingga keandalan komunikasi FSO dapat dipulihkan. Optimasi dirumuskan dengan fungsi tujuan memaksimalkan Signal-to-Noise Ratio (SNR) ujung-ke-ujung dengan kendala ambang kelayakan SNR ≥ 30 dB dan BER ≤ 10⁻⁶. Posisi UAV optimal dicari melalui grid search tiga dimensi menggunakan model kanal yang memperhitungkan redaman atmosfer, turbulensi (variansi Rytov), geometric loss, dan pointing error. Pengujian dilakukan pada tiga skenario perkotaan, yaitu Jl. Tunjungan (Surabaya), SCBD, dan Kuningan (Jakarta). Hasil menunjukkan bahwa tautan langsung tanpa relay gagal memenuhi ambang kelayakan dengan SNR hanya 14,49–18,44 dB, sedangkan penempatan UAV relay pada posisi optimal mampu memenuhi seluruh ambang dengan SNR ujung-ke-ujung 30,24–33,75 dB, yaitu peningkatan sebesar +15,31 hingga +15,89 dB dibandingkan baseline tanpa relay. Temuan ini membuktikan bahwa optimasi penempatan UAV relay dapat memulihkan jalur LoS dan keandalan komunikasi FSO pada lingkungan dengan hambatan, khususnya untuk skenario darurat atau wilayah tanpa LoS langsung.
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Free Space Optics (FSO) communication is a high-speed wireless technology that transmits data using laser beams through the atmosphere, offering large data capacity, high security, and immunity to electromagnetic interference. However, its performance strongly depends on the availability of a Line of Sight (LoS), making it vulnerable to physical obstructions such as buildings and atmospheric conditions that cause attenuation and turbulence. This research aims to optimize the three-dimensional placement of an Unmanned Aerial Vehicle (UAV) acting as a two-hop Decode-and-Forward relay to establish an alternative LoS path between two obstructed ground stations, thereby restoring FSO reliability. The optimization maximizes the end-to-end Signal-to-Noise Ratio (SNR), subject to feasibility thresholds of SNR ≥ 30 dB and BER ≤ 10⁻⁶. The optimal position is obtained through a three-dimensional grid search using a channel model that accounts for atmospheric attenuation, turbulence (Rytov variance), geometric loss, and pointing error. The evaluation covers three urban scenarios: Jl. Tunjungan (Surabaya), SCBD, and Kuningan (Jakarta). The results show that the direct link without a relay fails to meet the feasibility threshold, with an SNR of only 14.49–18.44 dB, whereas placing the UAV relay at its optimal position satisfies all thresholds, achieving an end-to-end SNR of 30.24–33.75 dB, an improvement of +15.31 to +15.89 dB over the no-relay baseline. These findings confirm that optimizing UAV relay placement can restore the LoS path and FSO communication reliability in obstructed environments, particularly for emergency scenarios or areas without a direct LoS.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Free Space Optics (FSO),Line of Sight (LoS),UAV Relay,UAV, SNR, BER., Free Space Optics (FSO),Line of Sight (LoS),UAV Relay,UAV, SNR, BER.
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101 Telecommunication
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Telecommunication Engineering > 20202-(S1) Undergraduate Thesis
Depositing User:	Kevin Kaiser
Date Deposited:	24 Jul 2026 03:18
Last Modified:	24 Jul 2026 03:18
URI:	http://repository.its.ac.id/id/eprint/137192

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