Penerapan Dynamic Traffic Scheduling untuk Optimasi Jaringan pada Simulasi Telesurgery Berbasis NS-3

Mahendra, Helmi Abiyu (2026) Penerapan Dynamic Traffic Scheduling untuk Optimasi Jaringan pada Simulasi Telesurgery Berbasis NS-3. Other thesis, Institut Teknologi Sepuluh Nopember.

Text 5025211061-Undergraduate_Thesis.pdf - Accepted Version Restricted to Repository staff only Download (5MB) | Request a copy

Abstract

Telesurgery merupakan aplikasi medis yang memerlukan jaringan komunikasi dengan karakteristik Ultra-Reliable Low-Latency Communication (URLLC) untuk sinyal kontrol robotik dan enhanced Mobile Broadband (eMBB) untuk video streaming. Coexistence kedua jenis traffic ini menimbulkan tantangan resource allocation karena perbedaan kebutuhan: URLLC membutuhkan latency rendah (<10 ms) dengan reliability tinggi, sementara eMBB memerlukan throughput maksimal. Penelitian ini mengusulkan skema penjadwalan Medium Access Control (MAC) berbasis Hopfield neural network structure (HNNS) untuk mengoptimalkan alokasi resource dalam skenario coexistence URLLC-eMBB. Algoritma HNNS menggunakan neuron-based decision mechanism dengan adaptive threshold untuk memberikan prioritas dinamis pada traffic URLLC sambil memaksimalkan efisiensi throughput eMBB. Implementasi dilakukan menggunakan Network Simulator 3 (NS-3) versi 3.43 dengan modul LTE sebagai platform proof-of-concept. Modul LTE dipilih berdasarkan pertimbangan stabilitas platform, kompleksitas implementasi yang lebih rendah dibanding modul 5G NR, dan fokus penelitian pada algoritma scheduling yang prinsipnya dapat ditransfer ke implementasi 5G. Evaluasi performa dilakukan melalui simulasi telesurgery dengan variasi jarak (30, 60, 120 km) dan kondisi traffic (normal dan burst), membandingkan scheduler HNNS dengan baseline Proportional fair dan Round robin. Metrik evaluasi mencakup latency, throughput, packet loss ratio, dan reliability. Hasil penelitian diharapkan menunjukkan bahwa skema HNNS dapat mempertahankan prioritas URLLC dengan low latency dan packet loss minimal, sambil memaksimalkan throughput eMBB. Penelitian ini memberikan kontribusi dalam pengembangan algoritma penjadwalan untuk coexistence layanan heterogen pada aplikasi telesurgery, dengan prinsip yang applicable untuk implementasi jaringan 5G di masa depan.
=================================================================================================================================
Reliable Low-Latency Communication (URLLC) characteristics for robotic control signals and enhanced Mobile Broadband (eMBB) for video streaming. The coexistence of these two traffic types poses resource allocation challenges due to different requirements: URLLC demands low latency (<10 ms) with high reliability, while eMBB requires maximum throughput. This research proposes a Medium Access Control (MAC) scheduling scheme based on Hopfield neural network structure (HNNS) to optimize resource allocation in URLLC-eMBB coexistence scenarios. The HNNS algorithm employs a neuron-based decision mechanism with adaptive thresholds to provide dynamic priority for URLLC traffic while maximizing eMBB throughput efficiency. Implementation is conducted using Network Simulator 3 (NS-3) version 3.43 with the LTE module as a proof-of-concept platform. The LTE module was selected based on considerations of platform stability, lower implementation complexity compared to the 5G NR module, and research focus on scheduling algorithms whose principles are transferable to 5G implementation. Performance evaluation is conducted through telesurgery simulations with variations in distance (30, 60, 120 km) and traffic conditions (normal and burst), comparing the HNNS scheduler with Proportional fair and Round robin baselines. Evaluation metrics include latency, throughput, packet loss ratio, and reliability. The research results are expected to demonstrate that the HNNS scheme can maintain URLLC priority with low latency and minimal packet loss while maximizing eMBB throughput. This research contributes to the development of scheduling algorithms for heterogeneous service coexistence in telesurgery applications, with principles applicable to future 5G network implementation.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Latency, Throughput, HNNS, Dynamic Traffic Scheduling, LTE.
Subjects:	T Technology > T Technology (General)
Divisions:	Faculty of Industrial Technology > Informatics Engineering > 55201-(S1) Undergraduate Thesis
Depositing User:	Helmi Abiyu Mahendra
Date Deposited:	06 Feb 2026 02:02
Last Modified:	06 Feb 2026 02:02
URI:	http://repository.its.ac.id/id/eprint/129852

Actions (login required)

View Item