Multiple Antennas-Based Improved Sensing Detector

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Author(s): Ashish Bagwari (Uttrakhand Technical University, India), Jyotshana Kanti (Uttrakhand Technical University, India)and Geetam Singh Tomar (THDC Institute of Hydropower Engineering and Technology, India)
Copyright: 2019
Pages: 21
Source title: Sensing Techniques for Next Generation Cognitive Radio Networks
Source Author(s)/Editor(s): Ashish Bagwari (Uttrakhand Technical University, India), Jyotshana Bagwari (Uttrakhand Technical University, India)and Geetam Singh Tomar (THDC Institute of Hydropower Engineering and Technology, India)
DOI: 10.4018/978-1-5225-5354-0.ch009

Keywords: Information Science Reference / Media & Communications / Networking and Telecommunications / Wireless Systems

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Abstract

5G is one of the newest and most acclaimed engineering technology of wireless era. This technology is also known as CRNs, in which spectrum detection plays a key role. Through this chapter, the authors explore multiple antennas-based improved sensing detector (MA_ISD). In the said scheme by using adaptive threshold and multiple antennas patterns, its easy to mitigate sensing failure issue enriches reliability. The presented scheme uses two detectors (TD) concept. The concept of two detectors (i.e., TD scheme has been applied in which multiple antennas are used for electing the quality signals). The considered model upgrades the detection operation and acquires limited or inferior detection time. The first energy detector uses a single adaptive threshold (ED-SAT) while another energy detector employs two adaptive thresholds (ED-TAT). The threshold value is accommodative as it relays on noise variance (σ_ω^2), the behavior of noise variance transforms in accordance with noise signal. Both the detectors run collaboratively and their gain is then supply to a decision device which operates OR functions. In this research work, results shows that with cooperation of two antennas (Nr=2) in multiple antennas-based improved sensing detector (MA_ISD) technique delivers enhancement in detection performance by 24.6%, 53.4%, 37.9%, and 49.6%, in contrast to existing schemes (i.e., EDT-ASS-2015 scheme, ED and cyclo-2010, adaptive SS-2012, and conventional-ED) scheme at -12dB SNR, respectively. During the time, proposed technique also reduces the sensing time in the order of 47.0 ms, 49.0 ms, and 53.2 ms as compared to existing schemes (EDT-ASS-2015, Adaptive SS-2012, and ED and Cyclo-2010) scheme at - 20 dB SNR, respectively.

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