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INTERNATIONAL JOURNAL OF RECENT TRENDS IN TECHNOLOGY AND ENGINEERING (IJRTTE)

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Real-Time Adaptive Spectrum Sensing in Cognitive Radios for Enhanced Wireless Communication

C Shahin Banu
Assistant Professor, Department of English, Sona College of Technology, India.
Shikha Uniyal Gairola
Department of Zoology and Environmental Sciences, School of Basic & Applied Sciences, India.
Anup Singh Negi
Assistant Professor, Adjunct Professor, Department of Mathematics, Graphic Era Deemed to be University, India.

Keywords: Real-Time Spectrum Sensing, Adaptive Spectrum Sensing, Cognitive Radio, Wireless Communication, Spectrum Utilization, Interference Management, 5G/6G Networks, IoT.

Abstract

It is widely agreed that effective spectrum sensing is essential to optimally utilize spectrum and mitigate the interference in cognitive radio (CR) networks. The existing systems often encounter the challenges, such as a fixed sensing threshold, large computation overhead, latency and low flexibility to adapt the dynamic environment. To tackle these problems, this paper proposes a Real-Time Adaptive Spectrum Sensing (RTASS) framework for cognitive radio based wireless communication technology. The RTASS is based on an adaptive sensing scheme that is able to self-calibrate its sensing parameters according to the real time environmental and signal status. It enables fast and accurate sensing of the spectrum opportunities with a minimum sensing latency and energy overhead. Furthermore, it is shown that the adaptive scheme is much more robust against interference, mobility induced channel changes, and scalability problems, some of the main problems faced by the known algorithms. The experimental results validate that RTASS performs significantly better in the sense of detecting signals accurately/confidently, saving computational overheads and improving the stability of communication, which is quite practical for deploying in newly emerging wireless communication scenarios, such as 5G/6G networks, Internet-of-Things (IoT), etc.
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Published
2022-12-25
Pages
1-8
Issue
Vol. 1 No. 4 (2022): IJRTTE - 01 - 04
Section
Articles

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