scholarly journals SNR Maximization using Fuzzy Rule based System in Relay Assisted Cognitive Radio Networks

2016 ◽  
Vol 4 (4) ◽  
pp. 42-48
Author(s):  
Kiran Sultan ◽  
Bassam A. ◽  
Waseem Khan ◽  
Atta-Ur Rahman
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Fuzzy Rule ◽  
Radio Networks ◽  
Rule Based ◽  
Rule Based System ◽  
Snr Maximization

scholarly journals Fast Cooperative Energy Detection under Accuracy Constraints in Cognitive Radio Networks

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Shengliang Peng ◽  
Weibin Zheng ◽  
Renyang Gao ◽  
Kejun Lei
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Energy Detection ◽  
Radio Networks ◽  
Detection Accuracy ◽  
Detection Time ◽  
Rule Based ◽  
Counting Rule ◽  
Accuracy Constraints ◽  
Cooperative Energy

Cooperative energy detection (CED) is a key technique to identify the spectrum holes in cognitive radio networks. Previous study on this technique mainly aims at improving the detection accuracy, while paying little attention to the performance of detection time. This paper concentrates on the issue of fast CED, which is achieved by minimizing its detection time subject to the constraints on detection accuracy. Firstly, the prevalent counting rule based CED algorithm is optimized. Taking the special cases of counting rule (AND rule and OR rule), for example, we show that detection time can be minimized by selecting an optimal number of secondary users. Moreover, we prove that OR rule is superior to AND rule in detection time, and thus OR rule based CED is faster than AND rule based CED. Then, a sequential test (ST) based CED algorithm is proposed to exploit the benefit of ST and detect primary user even faster. After analyzing its detection time, we illustrate that ST based CED is able to spend the minimal detection time in satisfying the accuracy constraints by choosing an optimal sample number. Simulation results are provided to verify the effectiveness of both fast algorithms discussed in this paper.

Exact Optimum RAN Selection Algorithm for Heterogeneous-Type Cognitive Radio Networks

2014 ◽  
Vol 1 ◽  
pp. 652-655
Author(s):  
Takumi.Matsui Takumi.Matsui ◽  
Mikio.Hasegawa Mikio.Hasegawa ◽  
Hiroshi.Hirai Hiroshi.Hirai ◽  
Kiyohito.Nagano Kiyohito.Nagano ◽  
Kazuyuki.Aihara Kazuyuki.Aihara
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Selection Algorithm
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