Enhanced experimental investigation of threshold determination for efficient channel detection in 2.4 GHz WLAN cognitive radio networks

Morshed, Mohammad Nayeem and Sabira, Khatun and Latifah Munirah, Kamarudin and Syed Alwee, Aljunid and R. Badlishah, Ahmad and Ammar, Zakaria and Fakir, Md Moslemuddin (2017) Enhanced experimental investigation of threshold determination for efficient channel detection in 2.4 GHz WLAN cognitive radio networks. International Journal of Microwave & Optical Technology (IJMOT), 12 (5). pp. 374-381. ISSN 1553-0396. (Published)

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Abstract

This paper presents an experimental investigation of threshold determination for efficient channel detection in wireless LAN (WLAN) based cognitive radio (CR) networks. The spectrum saturation problem is a critical issue in wireless communication systems worldwide due to on growing user demands day by day with many new applications to the limited frequency spectrum. Hence, present demand is an efficient and intelligent spectrum management and allocation system. In this paper, we proposed an adaptive threshold determination technique based on free space path loss (FSPL) model to detect the presence or absence of PUs. The model is designed especially for Android based smartphones and tablets. The smartphones act as secondary users (SUs) and existing 2.4 GHz WLAN channels as PUs. The network is prepared in a usual noisy lab/outdoor environment and tested for the robustness of the proposed model. Results show the desired range of usable threshold and the channel detection performance depends on the noise floor level of the surrounding environment.

Item Type:	Article
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	Cognitive radio; Noise floor; Received signal strength (RSS); Signal to noise ratio (SNR); Threshold
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division:	Centre of Excellence: Centre of Excellence for Advanced Research in Fluid Flow Faculty of Electrical & Electronic Engineering
Depositing User:	Mrs Norsaini Abdul Samat
Date Deposited:	07 Nov 2022 04:32
Last Modified:	07 Nov 2022 04:32
URI:	http://umpir.ump.edu.my/id/eprint/29109
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