Abstract
In this paper, we propose cooperative spectrum sensing schemes, called decode-and-forward cooperative spectrum sensing (DF-CSS) scheme and amplify-and-forward cooperative spectrum sensing (AF-CSS) scheme, in cognitive radio networks. The main goals and features of the proposed cooperative spectrum sensing schemes are as follows: first, we solve the problem of high demand for bandwidth in a soft decision scheme using in our proposed schemes. Furthermore, the impact of transmission power of relaying users which is determined by the interference constraint on sensing performance of cooperative spectrum sensing schemes is also investigated. Second, we analyze the sensing performance of our proposed cooperative spectrum sensing schemes in terms of detection probability and interference probability, respectively. We take into account the interference caused by secondary user (SU) to primary user (PU) in the case that the transmission power of the relaying users exceeds a predefined interference constraint assigned by the primary user. The simulation results show that in cooperative spectrum sensing schemes the total sensing performance depends not only on the interference tolerance level, but also on the relay protocols used. We also prove that high transmission power of relaying users increases the interference between the secondary networks and the primary network.
Highlights
The demand for radio spectrum has rapidly increased since the number of wireless applications and standards are increasing significantly
We propose two soft decision cooperative spectrum sensing schemes using the combination of an underlay cognitive radio approach and a best relay selection scheme
In both the decode-and-forward cooperative spectrum sensing (DF-CSS) and and-forward cooperative spectrum sensing (AF-CSS) schemes, with the same received power from the primary user at a secondary user Rk and S, we can see that the sensing performances are increased according to the increase of the interference threshold It
Summary
The demand for radio spectrum has rapidly increased since the number of wireless applications and standards are increasing significantly. In centralized cooperative sensing, the time delay for reporting sensing data will be large when the network size is expanded We consider this issue in our proposed cooperative spectrum sensing schemes by using best relay selection (BRS) protocol [11]. Most cooperative spectrum schemes assume that there is a dedicated reporting channel for SUs to exchange their sensing data, but this assumption makes the soft combination schemes consume more radio resources.
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