Implementasi Konsep Network Slicing pada Jaringan 5G untuk Berbagai Use Case Layanan Wi-fi Menggunakan Network Simulator 3 (NS-3)

Ramadhan, Haykal (2026) Implementasi Konsep Network Slicing pada Jaringan 5G untuk Berbagai Use Case Layanan Wi-fi Menggunakan Network Simulator 3 (NS-3). Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Perkembangan telekomunikasi menuju arsitektur Next Generation Network (NGN) menuntut jaringan yang fleksibel, adaptif, dan mampu melayani kebutuhan yang beragam. Teknologi 5G menjawab kebutuhan ini melalui konsep Network Slicing yang didukung Software Defined Network (SDN) dan Network Function Virtualization (NFV), sehingga satu infrastruktur fisik dapat dibagi menjadi beberapa jaringan virtual untuk tiga skenario layanan: Enhanced Mobile Broadband (eMBB), Ultra-Reliable Low-Latency Communications (URLLC), dan Massive Machine Type Communications (mMTC). Namun, Wi-Fi sebagai teknologi akses lokal berkapasitas besar belum memiliki mekanisme slicing secara native, sehingga diferensiasi QoS antar layanan sulit dijamin ketika trafik 5G diteruskan ke jaringan lokal Wi-Fi. Hal ini menimbulkan masalah sejauh mana karakteristik tiap slice tetap terjaga saat diintegrasikan dengan Wi-Fi 7, serta bagaimana pengaruh jarak dan jumlah pengguna terhadap kinerjanya. Untuk itu, pada Tugas Akhir ini diimplementasikan dan dianalisis konsep Network Slicing pada jaringan 5G yang diintegrasikan dengan Wi-Fi 7 (802.11be) menggunakan Network Simulator 3 (NS-3). Integrasi dirancang melalui topologi gNB - CPE, dengan ketiga slice dibedakan melalui konfigurasi parameter 5G NR (bandwidth, numerology, mode RLC, dan 5QI). Performansi tiap slice dievaluasi berdasarkan throughput, delay, dan jitter dengan variasi jarak gNB–CPE (100 m dan 500 m), jarak Wi-Fi pengguna (2 m - 30 m), serta jumlah pengguna (2, 8, dan 15). Hasil simulasi menunjukkan Network Slicing memberikan diferensiasi QoS yang konsisten, slice eMBB mencapai throughput tertinggi hingga 390,68 Mbps per pengguna, URLLC mempertahankan delay terendah pada rentang 4,485 - 9,541 ms, dan mMTC menjaga throughput kecil yang stabil 0,5 - 7,78 Mbps sesuai karakteristik trafik IoT. Jarak gNB–CPE terbukti menjadi faktor dominan pada 500 m throughput eMBB turun ke 206 Mbps dan delay mMTC melonjak hingga 165 - 178 ms sedangkan variasi jarak Wi-Fi hampir tidak berpengaruh, menegaskan bahwa bottleneck sistem berada pada sisi 5G NR, bukan Wi-Fi 7.
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The evolution of telecommunications toward Next Generation Network (NGN) architectures demands networks that are flexible, adaptive, and capable of meeting diverse requirements. 5G technology addresses these needs through the concept of Network Slicing supported by Software Defined Network (SDN) and Network Function Virtualization (NFV) allowing a single physical infrastructure to be partitioned into multiple virtual networks for three service scenarios: Enhanced Mobile Broadband (eMBB), Ultra-Reliable Low-Latency Communications (URLLC), and Massive Machine-Type Communications (mMTC). However, Wi-Fi, as a high-capacity local access technology, lacks native slicing mechanisms; consequently, ensuring Quality of Service (QoS) differentiation between services becomes challenging when 5G traffic is offloaded to local Wi-Fi networks. This raises questions regarding the extent to which slice characteristics are preserved during integration with Wi-Fi 7, as well as the impact of distance and user count on performance. To address this, this final project implements and analyzes the Network Slicing concept within a 5G network integrated with Wi-Fi 7 (802.11be) using Network Simulator 3 (NS-3). The integration utilizes a gNB - CPE topology, with the three slices distinguished by specific 5G NR parameter configurations (bandwidth, numerology, RLC mode, and 5QI). Slice performance is evaluated based on throughput, delay, and jitter, varying the gNB - CPE distance (100 m and 500 m), Wi-Fi to user distance (2 m – 30 m), and the number of users (2, 8, and 15). Simulation results demonstrate that Network Slicing provides consistent QoS differentiation: the eMBB slice achieves the highest throughput (up to 390.68 Mbps per user), the URLLC slice maintains the lowest delay (ranging from 4.485 to 9.541 ms), and the mMTC slice sustains a stable, low throughput (0.5 – 7.78 Mbps), aligning with IoT traffic characteristics. The gNB–CPE distance proved to be the dominant factor; at 500 m, eMBB throughput dropped to 206 Mbps and mMTC latency surged to 165–178 ms, whereas variations in Wi-Fi distance had negligible impact, confirming that the system bottleneck lies on the 5G NR side rather than the Wi-Fi 7 side.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Jaringan 5G, Network Slicing, NGN, Wi-Fi, NS-3, QoS =================================================================== 5G Network, Network Slicing, NGN, Wi-Fi, NS-3, QoS
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5103.2 Wireless communication systems. Two way wireless communication 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:	Haykal Ramadhan
Date Deposited:	23 Jul 2026 09:31
Last Modified:	23 Jul 2026 09:31
URI:	http://repository.its.ac.id/id/eprint/136441

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