Browsing by Author "Mohammadani, Khalid Hussain"

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    Citation - Scopus: 4
    A QoS Provisioning Architecture of Fiber Wireless Network Based on XGPON and IEEE 802.11ac
    (Walter de Gruyter GmbH, 2023) Mohammadani, Khalid Hussain; Butt, Rizwan Aslam; Ali, Kamran Ali; Pirzado, Azhar Ali Ayaz; Faheem, Muhammed Yasir; Abro, Adeel; Ain, Noor Ul
    The integration of the XGPON network with the 5G WLAN network is a suitable solution for next-generation high-speed access Internet service. We demonstrated the integration of two different standards via the QoS concept. Further, this work also presents a proper mapping scheme of QoS traffic between XG-PON and fifth-generation Wi-Fi standards known as IEEE 802.11ac. The analysis assessment compares the behavior of different IEEE 802.11ac standards with XGPON with-respect-to multimedia traffic in the FiWi network. To assess the performance of the FiWi network, the OMNET++ and INET framework are used to carrying out a comparative analysis in terms of upstream (US) delay and fairness index. The study concludes that the EDCA Wi-Fi module has better performance than the DCF Wi-Fi module with the integrated XGPON system for the FiWi access network. © 2024 Elsevier B.V., All rights reserved.
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    Citation - WoS: 6
    Citation - Scopus: 10
    Traffic-Adaptive Inter Wavelength Load Balancing for TWDM PON
    (IEEE-Inst Electrical Electronics Engineers Inc, 2020) Memon, Kamran Ali; Zhang, Qi; Butt, Rizwan Aslam; Mohammadani, Khalid Hussain; Faheem, Muhammad; ul Ain, Noor; Xin, Xiangjun
    This study presents a dynamic inter wavelength migration scheme for the optical network units (ONUs) employing linear regression machine learning method to equalize the traffic volume on all the wavelengths in time and wavelength division multiplexed passive optical network (TWDM PON). The proposed traffic-adaptive wavelength and bandwidth assignment (TA-WBA) scheme not only decreases upstream traffic delays but also offers 2.3% and 30% less delay on the wavelengths balancing the excessive load and 7% less upstream bandwidth waste, when evaluated against other load-balancing scheme.