Performance Analysis and Optimization of Enterprise Wireless Networks Based on 802.11ax Technology

Berkay Dağtaş; İsmail Hakkı Cedimoğlu

doi:10.35377/saucis...1592312

EN

Performance Analysis and Optimization of Enterprise Wireless Networks Based on 802.11ax Technology

Abstract

This study focuses on performance analysis and optimization of enterprise wireless networks. Fundamental performance parameters of Wi-Fi networks such as signal strength, signal-to-noise ratio (SNR), data rate, and channel interference were evaluated in detail in the study. The analysis process was carried out using Ekahau AI Pro software and Ekahau Sidekick device in a corporate facility, consisting of three main buildings. The obtained data revealed that signal strength dropped to -85 dBm levels in certain areas, negatively affecting the network's coverage area. Particularly in the ground floor of building B-C, secondary signal levels were found to be insufficient for roaming. Across the campus, SNR levels were observed to be 30 dB and above, and these values were found to provide ideal connectivity. During the analysis, it was discovered that in some areas, the number of access points broadcasting signals on the same channel increased up to 6. It has been assessed that this situation may negatively affect network performance in areas where interference is intense. Data rates varied between 1 - 300 Mbps in the 2.4 GHz frequency band and 1 - 585 Mbps in the 5 GHz band. The study provides significant data for performance analysis and optimization of enterprise wireless networks.

Keywords

References

H. Soy et al., "Kablosuz yerel alan ağlarında güncel gelişmeler: IEEE 802.11ac ile yeni nesil gigabit Wi-Fi," J. Faculty Eng. Archit. Gazi Univ., vol. 28, no. 4, pp. 675-687, 2013.
K. Pahlavan and P. Krishnamurthy, "Evolution and impact of Wi-Fi technology and applications: A historical perspective," Int. J. Wirel. Inf. Netw., vol. 28, no. 1, pp. 3–19, Mar. 2021, doi: 10.1007/s10776-020-00501-8.
R. Nazir, A. A. Laghari, K. Kumar, S. David, and M. Ali, "Survey on Wireless Network Security," Arch. Comput. Methods Eng., vol. 29, no. 3, pp. 1591–1610, May 2022, doi: 10.1007/s11831-021-09631-5.
A. Yılmaz and Z. Aslan, "802.11ax teknolojisinin kablosuz ağ altyapılarındaki rolü ve geleceği: Performans, güvenlik ve yenilik," J. Anadolu Bil Vocat. School Higher Educ., vol. 19, no. 69, pp. 1–29, Jul. 2024, doi: 10.17932/IAU.ABMYOD.2006.005/abmyod_v19i69001.
IEEE, "The evolution of Wi-Fi technology and standards," IEEE Standards Association, [Online]. Available: https://standards.ieee.org/beyond-standards/the-evolution-of-wi-fi-technology-and-standards/. Accessed: Oct. 23, 2024.
S. Bytyqi and B. Jashari, "Experimental assessment of the effects of building materials on Wi-Fi signal 2.4 GHz and 5 GHz," J. Comput. Commun., vol. 12, no. 05, pp. 1–10, 2024, doi: 10.4236/JCC.2024.125001.
Ekahau, "How to accurately measure wall attenuation for the best Wi-Fi designs," [Online]. Available: https://www.ekahau.com/blog/how-to-measure-wall-attenuation-for-spotless-wi-fi-network-designs/#Why-You-Should-Measure-Wall-Attenuation. Accessed: Oct. 13, 2024.
C. M. Own, J. Hou, and W. Tao, "Signal fuse learning method with dual bands WiFi signal measurements in indoor Positioning," IEEE Access, vol. 7, pp. 131805–131817, 2019, doi: 10.1109/ACCESS.2019.2940054.

C. Aneke, H. Akpan Jacob, K. Constance, and A. Chikezie Samuel, "Application of Ekahau real time location software for the calibration of test beds for wireless network-base asset location management system," J. Multidiscip. Eng. Sci. Stud., vol. 5, no. 8, pp. 2769-2776, Aug. 2019.
N. E. Kaljahi, "Performance evaluation of Wi-Fi networks," M.S. thesis, Dept. Inf. Security Commun. Technol., Norwegian Univ. Sci. Technol., Trondheim, Norway, 2021.
Ekahau, "Ekahau Site Survey & Heatmap Visualizations," Ekahau, Helsinki, Finland, Tech. Rep., 2016. [Online]. Available: https://www.ekahau.com/wp-content/uploads/2020/06/Ekahau-Site-Survey-Heatmap-Visualizations.pdf
A. A. Rabbany et al., "Analisis pengaruh co-channel interference terhadap kualitas Wi-Fi pada frekuensi 2,4 GHz," J. Komputer, Inf. Teknologi, dan Elektro, vol. 6, no. 2, pp. 31–35, Aug. 2021.
D. H. Kang, K. W. Sung, and J. Zander, "Attainable user throughput by dense Wi-Fi deployment at 5 GHz," in Proc. IEEE Int. Symp. Personal, Indoor and Mobile Radio Commun. (PIMRC), London, UK, 2013, pp. 3418–3422, doi: 10.1109/PIMRC.2013.6666739.
A. Zubow and R. Sombrutzki, "Adjacent channel interference in IEEE 802.11n," in Proc. IEEE Wireless Commun. Netw. Conf. (WCNC), Paris, France, 2012, pp. 1163–1168, doi: 10.1109/WCNC.2012.6213952.
I. Dolinska, M. Jakubowski, and A. Masiukiewicz, "Interference comparison in Wi-Fi 2.4 GHz and 5 GHz bands," in Proc. Int. Conf. Inf. Digital Technol. (IDT), Zilina, Slovakia, Jul. 2017, pp. 106–112, doi: 10.1109/DT.2017.8024280.
Fortinet, "Channels and channel planning," Fortinet Document Library, [Online]. Available: https://docs.fortinet.com/document/fortilan-cloud/24.2.0/fortilan-cloud-wi-fi-concept-guide/15862/channels-and-channel-planning. Accessed: Oct. 16, 2024.
NetAlly, "AirMagnet® Survey Pro wireless design & site survey analysis software," NetAlly, Colorado Springs, CO, USA, Tech. Rep., 2023. [Online]. Available: https://www.netally.com/wp-content/uploads/AirMagnet-Survey-Pro-Datasheet.pdf
Ekahau, "Ekahau AI Pro: The most trusted solution for business-critical Wi-Fi design create fast and reliable networks with powerful AI tools and expert-level customization options," Ekahau, Helsinki, Finland, Tech. Rep., 2024. [Online]. Available: www.ekahau.com
NetSpot, "Plan, survey, visualize & improve WiFi network with NetSpot," [Online]. Available: https://www.netspotapp.com/features.html. Accessed: Oct. 30, 2024.
Acrylic WiFi, "Wi-Fi site survey tool site survey," Tarlogic Security, Tech. Rep., 2024. [Online]. Available: www.acrylicwifi.com

Details

Primary Language

English

Subjects

Software Engineering (Other)

Journal Section

Research Article

Authors

Berkay Dağtaş ^*
0009-0000-7146-3692
Türkiye

İsmail Hakkı Cedimoğlu
0000-0003-3844-9295
Türkiye

Early Pub Date

June 13, 2025

Publication Date

June 30, 2025

Submission Date

November 27, 2024

Acceptance Date

April 18, 2025

Published in Issue

Year 2025 Volume: 8 Number: 2

DOI

https://doi.org/10.35377/saucis...1592312

IZ

https://izlik.org/JA77YN79SU

Cite

RIS / Bibtex

APA

Dağtaş, B., & Cedimoğlu, İ. H. (2025). Performance Analysis and Optimization of Enterprise Wireless Networks Based on 802.11ax Technology. Sakarya University Journal of Computer and Information Sciences, 8(2), 171-183. https://doi.org/10.35377/saucis...1592312

AMA

1.Dağtaş B, Cedimoğlu İH. Performance Analysis and Optimization of Enterprise Wireless Networks Based on 802.11ax Technology. SAUCIS. 2025;8(2):171-183. doi:10.35377/saucis.1592312

Chicago

Dağtaş, Berkay, and İsmail Hakkı Cedimoğlu. 2025. “Performance Analysis and Optimization of Enterprise Wireless Networks Based on 802.11ax Technology”. Sakarya University Journal of Computer and Information Sciences 8 (2): 171-83. https://doi.org/10.35377/saucis. 1592312.

EndNote

Dağtaş B, Cedimoğlu İH (June 1, 2025) Performance Analysis and Optimization of Enterprise Wireless Networks Based on 802.11ax Technology. Sakarya University Journal of Computer and Information Sciences 8 2 171–183.

IEEE

[1]B. Dağtaş and İ. H. Cedimoğlu, “Performance Analysis and Optimization of Enterprise Wireless Networks Based on 802.11ax Technology”, SAUCIS, vol. 8, no. 2, pp. 171–183, June 2025, doi: 10.35377/saucis...1592312.

ISNAD

Dağtaş, Berkay - Cedimoğlu, İsmail Hakkı. “Performance Analysis and Optimization of Enterprise Wireless Networks Based on 802.11ax Technology”. Sakarya University Journal of Computer and Information Sciences 8/2 (June 1, 2025): 171-183. https://doi.org/10.35377/saucis. 1592312.

JAMA

1.Dağtaş B, Cedimoğlu İH. Performance Analysis and Optimization of Enterprise Wireless Networks Based on 802.11ax Technology. SAUCIS. 2025;8:171–183.

MLA

Dağtaş, Berkay, and İsmail Hakkı Cedimoğlu. “Performance Analysis and Optimization of Enterprise Wireless Networks Based on 802.11ax Technology”. Sakarya University Journal of Computer and Information Sciences, vol. 8, no. 2, June 2025, pp. 171-83, doi:10.35377/saucis. 1592312.

Vancouver

1.Berkay Dağtaş, İsmail Hakkı Cedimoğlu. Performance Analysis and Optimization of Enterprise Wireless Networks Based on 802.11ax Technology. SAUCIS. 2025 Jun. 1;8(2):171-83. doi:10.35377/saucis. 1592312