Implementation of Inter-Building Wireless Backhaul using Ubiquiti 5AC Gen2 and MikroTik

Hashfi Adha Fadhillah, Ichwan Nul Ichsan

Abstract


This study aims to implement and evaluate the performance of an inter-building wireless backhaul network using the Ubiquiti LiteBeam 5AC Gen2 integrated with a MikroTik router as a solution for internet distribution without the need to subscribe to an additional ISP service. The study is motivated by the increasing demand for high-speed and reliable network connectivity between buildings, while wired network implementations are often limited in terms of cost and installation flexibility. The research adopts an experimental approach with descriptive quantitative analysis through direct measurement of Quality of Service (QoS) parameters, including throughput, delay, and jitter. Testing was conducted under three scenarios: a direct wireless backhaul link, a WiFi network on the first floor, and a WiFi network on the second floor of the building. The results show that the wireless backhaul provides an average throughput of 87.95 Mbps for download and 48.60 Mbps for upload, with a delay of 1.19 ms. On the access network side, the achieved throughput remains sufficient for user needs, although delay and jitter increase as the number of connected devices and traffic load grows. This study concludes that the implementation of an IEEE 802.11ac-based wireless backhaul using Ubiquiti LiteBeam 5AC Gen2 and MikroTik is effective as a medium-scale inter-building connectivity solution, delivering performance that meets typical daily internet service requirements.

Keywords


MikroTik; QoS; Ubiquiti 5AC Gen2; wireless backhaul

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References


T. Ferreira et al., “Experimental mmWave WiGig-based Backhaul Network Dataset,” Data in Brief, Vol. 52, p. 109954, Feb. 2024, DOI: 10.1016/j.dib.2023.109954.

C. He, R. Wang, D. Wu, H. Zhang, and Z. Tan, “QoS-Aware Hybrid Cloudlet Placement Over Joint Fiber and Wireless Backhaul Access Network,” Optical Switching and Networking, Vol. 45, p. 100678, Sep. 2022, DOI: 10.1016/j.osn.2022.100678.

M. Khadmaoui-Bichouna, J. M. Alcaraz-Calero, and Q. Wang, “Empirical Evaluation of 5G and Wi-Fi Mesh Interworking for Integrated Access and Backhaul Networking Paradigm,” Computer Communications, Vol. 209, pp. 429–443, Sep. 2023, DOI: 10.1016/j.comcom.2023.07.007.

M. Mackay, A. Raschella, and O. Toma, “Modelling and Analysis of Performance Characteristics in a 60 Ghz 802.11ad Wireless Mesh Backhaul Network for an Urban 5G Deployment,” Future Internet, Vol. 14, No. 2, p. 34, Jan. 2022, DOI: 10.3390/fi14020034.

E. Oughton, G. Geraci, M. Polese, V. Shah, D. Bubley, and S. Blue, “Reviewing Wireless Broadband Technologies in the Peak Smartphone Era: 6G Versus Wi-Fi 7 and 8,” Telecommunications Policy, Vol. 48, No. 6, p. 102766, Jul. 2024, DOI: 10.1016/j.telpol.2024.102766.

G. Gemmi, L. Cerda-Alabern, and L. Maccari, “A Realistic Open-Data-based Cost Model for Wireless Backhaul Networks in Rural Areas,” in 2022 18th International Conference on Network and Service Management (CNSM), Thessaloniki, Greece: IEEE, Oct. 2022, pp. 55–63. DOI: 10.23919/CNSM55787.2022.9964562.

L. Liu, C. Hua, J. Yu, and J. Xu, “Joint Beamforming for Delay Optimal Transmission in Cache-Enabled Wireless Backhaul Networks,” Journal of Communications and Information Networks, Vol. 8, No. 2, pp. 141–154, Jun. 2023, DOI: 10.23919/JCIN.2023.10173730.

R. Liao, B. Bellalta, J. Barcelo, V. Valls, and M. Oliver, “Performance Analysis of IEEE 802.11ac Wireless Backhaul Networks in Saturated Conditions,” EURASIP Journal on Wireless Communications and Networking, Vol. 2013, Sep. 2013, DOI: 10.1186/1687-1499-2013-226.

R. G. Alavicheh, S. M. Razavizadeh, and H. Yanikomeroglu, “Integrated Access and Backhaul (IAB) in Low Altitude Platforms,” IEEE Open Journal of the Communications Society, Vol. PP, pp. 1–1, Jul. 2024, DOI: 10.1109/OJCOMS.2024.3435870.

M. Hourston, D. Waltrick, S. Blight, A. Denham, A. Hesp, and S. Taylor, Developing Novel Remote Camera Approaches to Assess and Monitor the Population Status of Australian Sea Lions. North Beach, Western Australia: Fisheries Research Division, Western Australian Fisheries and Marine Research Laboratories, 2022.

M. Yu, Y. Pi, A. Tang, and X. Wang, “Coordinated Parallel Resource Allocation for Integrated Access and Backhaul Networks,” Computer Networks, Vol. 222, p. 109533, 2023, DOI: https://doi.org/10.1016/j.comnet.2022.109533.

C. Huang, A. Tang, B. Zhai, and X. Wang, “Physical Layer Forwarding for 5G Multi-Hop Backhaul Networks,” Computer Networks, Vol. 207, p. 108830, Apr. 2022, DOI: 10.1016/j.comnet.2022.108830.

Ubiquiti Inc, “LiteBeam 5AC Gen2 Datasheet.” 2019.

J. Rarugal and N. L. Sermona, “Development and Evaluation of Remote Learning Management System using Intranet Network for Hinterland Schools,” Procedia Computer Science, Vol. 234, pp. 1633–1641, Jan. 2024, DOI: 10.1016/j.procs.2024.03.167.

M. Sheng, Y. Zhang, J. Liu, Z. Xie, T. Q. S. Quek, and J. Li, “Enabling Integrated Access and Backhaul in Dynamic Aerial-Terrestrial Networks for Coverage Enhancement,” IEEE Transactions on Wireless Communications, Vol. 23, No. 8, pp. 9072–9084, Aug. 2024, DOI: 10.1109/TWC.2024.3358296.

H. J. S. Carranza, C. M. F. Roman, A. S. A. Sanchez, D. H. C.Villacrés, and P. M. A. Wong Wong, “Data Loss Study in Zonal Systems and Servers in a Shopping Center Parking Lot,” INGENIO, Vol. 8, No. 2, pp. 157–166, Jul. 2025, DOI: 10.29166/ingenio.v8i2.7301.




DOI: https://doi.org/10.32520/stmsi.v15i3.6128

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