Volume 10 , Issue 2 , PP: 36–42, 2026 | Cite this article as | XML | Html | PDF | Full Length Article
Mohammed. I. Alghamdi 1 * , Abdul Rahaman Wahab Sait 2
Doi: https://doi.org/10.54216/IJWAC.100205
Dense Wi-Fi deployments are often tuned by changing channel width or adding access points, while the joint effect of antenna gain, operating frequency, wall loss, and network interference receives less systematic attention. This paper presents a frequency-aware antenna configuration model for Wi-Fi communication networks operating in the 2.4, 5, and 6 GHz bands. The model combines an indoor link budget, antenna-pattern classes, bandwidth dependent noise, an airtime-overlap penalty, and a coverage-assurance score that balances signal quality, throughput, latency, and packet error. A reproducible design-space table is generated from a validated Wi-Fi engineering model and analyzed across five deployment scenarios, three antenna families, four channel widths, and multiple client distances. The results show that higher frequency bands improve short-range capacity but deteriorate faster under distance and wall loss, while directional antenna gain can recover a substantial part of the lost link margin. The paper provides planning rules for selecting antenna type, frequency band, and channel width according to coverage, capacity, and interference risk. The work is intended for Wi-Fi network designers who need interpretable engineering evidence rather than a black-box prediction model.
Wi-Fi networks , Antenna gain , Frequency selection , Channel width , Communication networks
[1] E. Mozaffariahrar, F. Theoleyre, and M. Menth, “A survey of Wi-Fi 6: Technologies, advances, and challenges,” Future Internet, vol. 14, no. 10, article 293, 2022.
[2] IEEE, “IEEE 802.11be-2024: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications - Amendment for extremely high throughput,” IEEE Standards Association, 2025.
[3] M. Natkaniec and N. Bieryt, “An analysis of the mixed IEEE 802.11ax wireless networks in the 5 GHz band,” Sensors, vol. 23, no. 10, article 4964, 2023.
[4] L. Lanante and S. Roy, “Performance analysis of the IEEE 802.11ax OBSS_PD-based spatial reuse,” IEEE/ACM Transactions on Networking, vol. 30, no. 2, pp. 616–628, 2022.
[5] S. Tschimben, S. Subray, A. Sanders, and A. Wunderlich, “Collection methods for Wi-Fi and Bluetooth I/Q recordings in the 2.4 GHz and 5 GHz bands with lowcost software defined radios,” NIST Technical Note 2237, 2022.
[6] S. Huang et al., “WiMANS: A benchmark dataset for WiFi-based multi-user activity sensing,” in Proceedings of the European Conference on Computer Vision, 2024.
[7] E. de Armas, G. Diaz, I. Sobron, I. Eizmendi, I. Landa, J. M. Matias, and M. Velez, “EHUNAM, a WiFi CSIbased dataset for human and machine sensing,” Scientific Data, vol. 12, article 1950, 2025.
[8] M. Cominelli, F. Gringoli, F. Restuccia, and S. Savazzi, “A systematic investigation of CSI-based Wi-Fi sensing performance under 802.11ax,” in Proceedings of IEEE PerCom, 2023.
