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Effective Channel Allocation for Hybrid Network Usage Between Wi-Fi and Cellular Network

M. Vanitha1,*, C. T. Kalaivani1, J. Kirubakaran2, R. Praveena2

1 Saveetha Engineering College, Thandalam, Chennai, 602105, India
2 Muthayammal Engineering College, Rasipuram, Namakkal, 637408, India

* Corresponding Author: M. Vanitha. Email:

Intelligent Automation & Soft Computing 2022, 34(3), 1617-1627.


Hybrid networks are a rising innovation for maximizing wireless network coverage without any extra need for resources. This research paper focuses on effective channel allocation for Wireless Fidelity (Wi-Fi) and cellular networks. As a novel work in this area, the Beyond Access Point Coverage (BAPC) has been presented for adequately installing cellular networks on the unlicensed Wi-Fi spectrum. Networks can straightforwardly exploit Wi-Fi distributed coordination. Our BAPC commits and permits a combat-free period to cellular network subscribers and customary Wi-Fi subscribers to encourage concurrence. This research focuses on the maximization of combined subscriber affiliation and frequency channel distribution to improve hybrid network throughput and subscriber decency. The issue of Hybrid system usage is reduced by Hard Bargaining Borrowing Channel Solution (HBBCS), which is determined with a mathematical expression for the effective combat-free period length under a given subscriber connection. HBBCS-based usage of the channel under log-typical blurring, Rayleigh blurring, and Rician blurring spectrum model to analyze the proposed calculation are being estimated separately. Our investigation’s mathematical outcomes confirm successful framework execution maximization under the proposed HBBCS calculation against customary cellular network organization.


Cite This Article

M. Vanitha, C. T. Kalaivani, J. Kirubakaran and R. Praveena, "Effective channel allocation for hybrid network usage between wi-fi and cellular network," Intelligent Automation & Soft Computing, vol. 34, no.3, pp. 1617–1627, 2022.

This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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