Publication:
Adaptive threshold determination for efficient channel sensing in cognitive radio network using mobile sensors
Adaptive threshold determination for efficient channel sensing in cognitive radio network using mobile sensors
Date
2017-03-13
Authors
Mohammad Nayeem Morshed
Sabira Khatun
Latifah Munirah Kamarudin
Syed Alwee Aljunid Syed Junid
R Badlishah Ahmad
Ammar Zakaria
Moslem Fakir
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Abstract
Spectrum saturation problem is a major issue in wireless communication systems all over the world. Huge number of users is joining each day to the existing fixed band frequency but the bandwidth is not increasing. These requirements demand for efficient and intelligent use of spectrum. To solve this issue, the Cognitive Radio (CR) is the best choice. Spectrum sensing of a wireless heterogeneous network is a fundamental issue to detect the presence of primary users' signals in CR networks. In order to protect primary users (PUs) from harmful interference, the spectrum sensing scheme is required to perform well even in low signal-to-noise ratio (SNR) environments. Meanwhile, the sensing period is usually required to be short enough so that secondary (unlicensed) users (SUs) can fully utilize the available spectrum. CR networks can be designed to manage the radio spectrum more efficiently by utilizing the spectrum holes in primary user's licensed frequency bands. In this paper, we have proposed an adaptive threshold detection method to detect presence of PU signal using free space path loss (FSPL) model in 2.4 GHz WLAN network. The model is designed for mobile sensors embedded in smartphones. The mobile sensors acts as SU while the existing WLAN network (channels) works as PU. The theoretical results show that the desired threshold range detection of mobile sensors mainly depends on the noise floor level of the location in consideration.
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Keywords
Radio spectrum,
Signal processing,
Channel sensing