Threshold Based Censoring of Cognitive Radios in Rician Fading Channel with Perfect Channel Estimation
In this paper, we have discussed about the performance analysis and comparison between hard decision (majority rule) logic and soft decision (maximal ratio combining) logic on cooperative spectrum sensing network using censoring scheme. We are assuming th
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Abstract. In this paper, we have discussed about the performance analysis and comparison between hard decision (majority rule) logic and soft decision (maximal ratio combining) logic on cooperative spectrum sensing network using censoring scheme. We are assuming that both sensing channel and reporting channel are affected by Rician fading. Due to presence of fading in the channels, the information received at the fusion center is erroneous. Threshold based censoring scheme is used to eliminate the heavily faded cognitive radios in reporting channel. Majority logic and maximal ratio combining (MRC) schemes are applied individually at fusion center to make final decision about primary user. Finally, the performance is evaluated in terms of missed detection proba bility ðQm Þ &total error probability Qm þ Qf using majority logic and MRC rule at fusion center. Simulations are performed with perfect channel estimation by varying the network parameters like probability of false alarm Pf , S-channel SNR, R-channel SNR, Rician fading parameter (K) and number of CR users (N). Comparison table between majority logic and MRC rule is provided to know which fusion rule performs better under Rician fading. Keywords: Co-operative spectrum sensing Censoring Energy detection Majority logic Maximal ratio combining Rician fading
1 Introduction The emerging new technologies and applications of wireless communication increase the uses of radio spectrum. To make good usage of spectrum, unused spectrum band also should be used in proper manner. Various reports on spectrum utilization have shown that the spectrum is inefficiently utilized. This means that there is ample opportunity to find many vacant spaces in the radio spectrum. In [1], to tackle the problem of spectrum underutilization they proposed a flexible spectrum models rather than fixed spectrum models. The main aim of the spectrum sensing (SS) is to detect the spectrum holes when the information about primary signal is unknown. Energy detection (ED) is relevant detection scheme that is used when the primary signal is unknown, because of most simple and non-coherent detector [2]. In spectrum sensing, detection performance is limited due to single cognitive radio (CR) user is present in the network, moreover due to fading and shadowing present in the environment. To overcome these drawbacks © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2016 D. Noguet et al. (Eds.): CROWNCOM 2016, LNICST 172, pp. 220–231, 2016. DOI: 10.1007/978-3-319-40352-6_18
Threshold Based Censoring of Cognitive Radios
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co-operative spectrum sensing (CSS) [3] concept is introduced, where primary user (PU) is detected by multiple numbers of CRs, hence, detection probability of PU increases. These multiple number of CRs senses the PU individually and stores the information with them using sensing channel (S-channel). Fusion center (FC) collects the sensing information stored by individual CRs through reporting channel (R-channel). FC makes fina
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