Spatial-temporal spectrum hole discovery: a hybrid spectrum sensing and geolocation database framework

2014 ◽  
Vol 59 (16) ◽  
pp. 1896-1902 ◽  
Author(s):  
Jinlong Wang ◽  
Guoru Ding ◽  
Qihui Wu ◽  
Liang Shen ◽  
Fei Song
Keyword(s):  
Spectrum Sensing ◽  
Spectrum Hole ◽  
Geolocation Database

Cognitive Radio Networks

2019 ◽  
pp. 27-50
Author(s):  
Abhijeet Bishnu ◽  
Vimal Bhatia
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Gaussian Noise ◽  
Dynamic Spectrum ◽  
Spectrum Hole ◽  
Geolocation Database ◽  
Wireless Spectrum ◽  
Colored Gaussian Noise ◽  
Main Components ◽  
Beacon Signal

Cognitive radio (CR) offers a novel way for effective usage of wireless spectrum by using dynamic spectrum sensing and allocation. One of the main components of CR is to find a spectrum hole for data transmission. Spectrum hole can be found by using spectrum sensing, a geolocation database, or by using a beacon signal. In this chapter, the authors describe algorithms for spectrum sensing in the presence of both additive white Gaussian and colored Gaussian noise. The algorithms include blind, non-blind, and cooperative sensing-based methods. The authors have compared the performance of various methods for IEEE 802.22 standard (which is the first standard incorporating CR).

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.

Secondary Data Transmissions with Two-Way Relay in Cognitive Radio Networks

2013 ◽  
Vol 336-338 ◽  
pp. 1650-1655
Author(s):  
Yuan Gao ◽  
Chang Ping Zhu ◽  
Yi Bin Tamg
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Cognitive Radio Networks ◽  
Secondary Data ◽  
Primary User ◽  
Radio Networks ◽  
Secondary Users ◽  
Step Model ◽  
Spectrum Hole ◽  
User Protection

For improving the spectrum hole utilization in cognitive radio networks, two-way relaying is used in this paper to assist two secondary users in exchanging information. The 2-step and 3-step two-way relaying models are respectively discussed with imperfect spectrum sensing. Moreover, the closed-form expressions of outage probability for the two models are derived with a primary user protection constraint. Simulation shows that 3-step model outperforms 2-step in terms of the outage performance.

scholarly journals Conventional Combining Scheme in Cooperative Spectrum Sensing

2020 ◽  
Vol 9 (7) ◽  
pp. 299-303
Keyword(s):  
Spectrum Sensing ◽  
Software Defined Radio ◽  
Cooperative Spectrum Sensing ◽  
Primary User ◽  
Detection Error ◽  
White Hole ◽  
Spectrum Hole ◽  
Soft Combining ◽  
Fusion Centre ◽  
Individual Node

Spectrum Sensing (SS) is a key constituent of software defined radio (SDR) or Cognitive radio (CR). Spectrum sensing (SS) investigate the white hole in allotted spectrum to the primary user. Cooperative spectrum sensing (CSS) has work in a best manner than any other spectrum sensing (SS) technique to detect white space or spectrum hole in the licensed spectrum. In this paper we compare various combining scheme that are to be perform at the Fusion centre (FC). Fusion centre (FC) is the central part of Cooperative spectrum sensing (CSS) that combines individual node decision. Simulation has performed for hard and soft combining scheme. According to the simulation the soft combining scheme performed better then hard combining scheme but the complexity and bandwidth (BW) requirement in the soft combining is more than hard combining scheme. In the proposed paper we also explore detection error that is to be present in various combining scheme.

Practical Implementation of Spectrum Sensing and Signal Detection for Satellite Broadcasting Systems

2016 ◽  
Vol E99.B (8) ◽  
pp. 1894-1901
Author(s):  
Hiroyuki KAMATA ◽  
Gia Khanh TRAN ◽  
Kei SAKAGUCHI ◽  
Kiyomichi ARAKI
Keyword(s):  
Signal Detection ◽  
Spectrum Sensing ◽  
Practical Implementation ◽  
Satellite Broadcasting
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