Adaptive Threshold Control for Energy Detection Based Spectrum Sensing in Cognitive Radio Networks

2011 ◽  
Author(s):  
Zhiqiang Bao ◽  
Bin Wu ◽  
Pin-Han Ho ◽  
Xiang Ling
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Cognitive Radio Networks ◽  
Energy Detection ◽  
Adaptive Threshold ◽  
Radio Networks ◽  
Threshold Control

scholarly journals Energy Detection-based Spectrum Sensing In Cognitive Radio Networks

2020 ◽  
Vol 3 (1) ◽  
pp. 576-582
Author(s):  
Anıl Merve Ay
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Cognitive Radio Networks ◽  
Energy Detection ◽  
Radio Networks

Bugüne kadar kablosuz iletişim teknolojileri sabit spektrum atama prensibi ile hazırlanmış ve kullanılmıştır. Sabit spektrum atama prensibine göre belirli frekans bandı sadece birincil (lisanslı) kullanıcılara ayrılmakta, birincil kullanıcılar tarafından kullanılmıyor olsa dahi ikincil (lisanssız) kullanıcıya tahsis edilememektedir. Bu ilke, frekans spektrumunun verimsiz kullanılmasına neden olmaktadır. Günümüzde kablosuz iletişim teknolojilerinin devamlı gelişmesi ve yaygın kullanımıyla beraber, sınırlı olan frekans spektrumu yetersiz kalmaktadır. Bilişsel Radyo Teknolojisi, dinamik spektrum erişim tekniğini kullanarak frekans spektrumun verimli kullanılmasını amaçlamaktadır. Bu bildiride Bilişsel Radyo Teknolojisi ile boş frekans bandları tespit edilerek birincil kullanıcılar tarafından kullanılmayan bandların ikincil kullanıcılara tahsis edilmesi, Enerji Tespiti ile Spektrum Algılama Yöntemi kullanılarak simülasyon ortamında incelenmiş ve sonuçları verilmiştir.

Energy Detection Based Spectrum Sensing Analysis of Cooperative Cognitive Radios under Different Fading Environments

2013 ◽  
pp. 50-73
Author(s):  
Deepti Kakkar ◽  
Mayank Gupta ◽  
Arun Khosla ◽  
Moin Uddin
Keyword(s):  
Cognitive Radio ◽  
Fading Channels ◽  
Spectrum Sensing ◽  
Cognitive Radio Networks ◽  
Cooperative Spectrum Sensing ◽  
Fusion Rule ◽  
Energy Detection ◽  
Radio Networks ◽  
Amplify And Forward ◽  
Comparative Performance

This chapter discusses the detection performance of relay based cognitive radio networks. Relays are assigned in cognitive radio networks to transmit the primary user’s signal to cognitive coordinators or CPUs, thus achieving cooperative spectrum sensing. The purpose of the chapter is to provide mathematical analysis of energy detectors for dual hop networks. The soft fusion rule is used at the relays which acts as amplify and forward relays. For the detection purpose, the energy detector is employed at the cognitive coordinator. In the ending sections, sensing performance is analyzed for different fading channels in the MATLAB environment and simulation results present comparative performance of various relay conditions with concluding remarks.

scholarly journals A Double Adaptive Approach to Tackle Malicious Users in Cognitive Radio Networks

2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Muhammad Sajjad Khan ◽  
Muhammad Jibran ◽  
Insoo Koo ◽  
Su Min Kim ◽  
Junsu Kim
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Cognitive Radio Networks ◽  
Cooperative Spectrum Sensing ◽  
Evidence Theory ◽  
Adaptive Threshold ◽  
Radio Networks ◽  
Maximal Ratio Combining ◽  
Fusion Center ◽  
Adaptive Approach

Cognitive radio (CR) is being considered as a vital technology to provide solution to spectrum scarcity in next generation network, by efficiently utilizing the vacant spectrum of the licensed users. Cooperative spectrum sensing in cognitive radio network has a promising performance compared to the individual sensing. However, the existence of the malicious users’ attack highly degrades the performance of the cognitive radio networks by sending falsified data also known as spectrum sensing data falsification (SSDF) to the fusion center. In this paper, we propose a double adaptive thresholding technique in order to differentiate legitimate users from doubtful and malicious users. Prior to the double adaptive approach, the maximal ratio combining (MRC) scheme is utilized to assign weight to each user such that the legitimate users experience higher weights than the malicious users. Double adaptive threshold is applied to give a fair chance to the doubtful users to ensure their credibility. A doubtful user that fails the double adaptive threshold test is declared as a malicious user. The results of the legitimate users are combined at the fusion center by utilizing Dempster-Shafer (DS) evidence theory. Effectiveness of the proposed scheme is proved through simulations by comparing with the existing schemes.

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