Research Article
BibTex RIS Cite

Year 2025, Volume: 8 Issue: 2, 171 - 183

Berkay Dağtaş , İsmail Hakkı Cedimoğlu

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

Abstract

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

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

Year 2025, Volume: 8 Issue: 2, 171 - 183

Berkay Dağtaş , İsmail Hakkı Cedimoğlu

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

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

Wi-Fi performance Signal strength SNR Channel interference Ekahau AI Pro

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
There are 20 citations in total.

Details

Primary Language English
Subjects Software Engineering (Other)
Journal Section Research Article
Authors

Berkay Dağtaş 0009-0000-7146-3692

İsmail Hakkı Cedimoğlu 0000-0003-3844-9295

Early Pub Date June 13, 2025
Publication Date
Submission Date November 27, 2024
Acceptance Date April 18, 2025
Published in Issue Year 2025Volume: 8 Issue: 2

Cite

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 Dağtaş B, Cedimoğlu İH. Performance Analysis and Optimization of Enterprise Wireless Networks Based on 802.11ax Technology. SAUCIS. June 2025;8(2):171-183. doi:10.35377/saucis.1592312
Chicago 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 8, no. 2 (June 2025): 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 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, 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 2025), 171-183. https://doi.org/10.35377/saucis. 1592312.
JAMA 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, 2025, pp. 171-83, doi:10.35377/saucis. 1592312.
Vancouver Dağtaş B, Cedimoğlu İH. Performance Analysis and Optimization of Enterprise Wireless Networks Based on 802.11ax Technology. SAUCIS. 2025;8(2):171-83.
 Download Cover Image


INDEXING & ABSTRACTING & ARCHIVING


 31045 31044  31046 31047 

31043 28939 28938 34240


29070    The papers in this journal are licensed under a Creative Commons Attribution-NonCommercial 4.0 International License