Eigenvalue-based spectrum ‘hole’ detection for Nakagami-m fading channels with Gaussian and impulse noise

2012 ◽  
Vol 6 (13) ◽  
pp. 2054-2064 ◽  
Author(s):  
N. Pillay ◽  
H.J. Xu
Keyword(s):  
Fading Channels ◽  
Impulse Noise ◽  
Spectrum Hole ◽  
Hole Detection

scholarly journals Spectrum sensing based on energy of unknown deterministic signals over fading channels

2014 ◽  
Vol 17 (1) ◽  
pp. 17-31
Author(s):  
Tu Thanh Nguyen ◽  
Khoa Le Dang ◽  
Thu Thi Hong Nguyen ◽  
Phuong Huu Nguyen
Keyword(s):  
Cognitive Radio ◽  
Fading Channels ◽  
Spectrum Sensing ◽  
Cognitive Radio Network ◽  
Signal To Noise Ratio ◽  
Energy Detection ◽  
Radio Network ◽  
Essential Components ◽  
Spectrum Hole ◽  
The Impact

In cognitive radio network, how to minimize the impact of secondary user on primary user’s signal plays a very important and complex role. Therefore, spectrum sensing is one of the most essential components of cognitive radio. Therefore, the effect of spectrum sensing algorithms plays a key role to the system’s performance. In this paper, we concentrate on spectrum sensing algorithms in order to find out spectrum hole or while hole for reusing it. Specifically, we will highlight the energy detector algorithm of unknown deterministic signals over fading channels. The numerical results match well with theoretical analysis. The system’s performance of energy detection in AWGN channel is acceptable in case of relatively low signal to noise ratio (SNR). However, the performance of system will be degraded remarkable over fading environments.

Optimal Spectrum-Hole Detection Scheme for Cooperative CRN Using Dynamic Weighted VIKOR

2020 ◽  
Vol 16 (1) ◽  
pp. 108-131
Author(s):  
Jayakumar Loganathan ◽  
S. Janakiraman ◽  
Ankur Dumka
Keyword(s):  
Wireless Networks ◽  
Cognitive Radio ◽  
Integrated Approach ◽  
Channel Selection ◽  
Detection Scheme ◽  
Selection Scheme ◽  
Wireless Environment ◽  
Spectrum Hole ◽  
Secure Transmission ◽  
Hole Detection

In the future, the wireless network environment may suffer due to the unavailability of new spectrum bands. Cognitive radio research considers the current spectrum underutilization and provides a better model for the next-generation wireless environment. Since the implementation of the cognitive radio and its policies is a bigger challenge under static spectrum allocation, i.e., current wireless networks policy, many issues are in front of us to accomplish a better cognitive radio wireless environment. One of the major challenges is a secure transmission and efficient free channel selection. In this research, the authors considered an efficient free-channel selection scheme as objective and derived an integrated approach for free-channel selection with techniques, Dynamic weighted-VIKOR.

scholarly journals A Spectrum Sensing Method for TDM based Cognitive Radio Networks

2018 ◽  
Vol 7 (4.1) ◽  
pp. 124
Author(s):  
D Satyanarayana ◽  
Abdullah Said Alkalbani
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
New Technology ◽  
Radio Spectrum ◽  
Radio Networks ◽  
Second Phase ◽  
Spectrum Scarcity ◽  
Spectrum Hole ◽  
Two Phases ◽  
Hole Detection

The usage of mobile radio devices has been increased exponentially for the last few years and the radio spectrum is being exhausted every day. Hence, there is huge demand for new methods and technologies for solving the radio spectrum scarcity. On this line, the researchers invented a new technology called Cognitive Radio Networks (CRN). There are two phases associated with the CRN. The first phase handles the spectrum hole detection and the second phase allocates the spectrum hole. In this paper, we propose a new method for spectrum hole detection in time division multiplexing (TDM) based communications systems. The simulation work shows that the proposed method is useful for solving the spectrum scarcity problems in TDM based systems.   

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