Abstract
The most important component of Cognitive Radio Network (CRN) is to sense the underutilised spectrum efficiently in fading environment for incorporating the increasing demand of wireless applications. The result of spectrum sensing can be affected by incorrect detection of the existence of Primary User (PU). In this paper, we have considered Collaborative spectrum sensing to maximise the spectrum utilisation of Cognitive Radio (CR) user. We proposed a new architecture and algorithm that shows the step by step spectrum sensing procedure using Energy detection and Bayesian detection in collaborative environment for an optimal number of users. This algorithm also includes Maximal Ratio Combining (MRC) diversity techniques in fusion centre to make a final decision under fading condition. The simulation result shows the significant optimisation of detection performance with less misdetection for large number of users. It is also observed that MRC produces better results in collaborative manner under Nakagami-m, Rayleigh and Normal fading. Finally in this paper, we have analysed the relative performance of different wireless channels for various SNR levels and from that analysis it concludes that ED technique works better in high SNR and BD technique works for low SNR.
Highlights
Modern and advanced wireless communication services are becoming scarce resources because of high data rate devices, which communicate by using electromagnetic waves
In Cognitive Radio Network (CRN), licensed users are known as Primary User (PU) and unlicensed users are known as Secondary User (SU) where SU’s are responsible to sense the occupied spectrum and use it without any interruption by giving highest priority to PU [3]
This work provides the analysis of spectrum sensing using traditional Bayesian detection and Energy detection with Maximal Ratio Combining (MRC) under Nakagami-m, Rayleigh and Normal fading channels
Summary
Modern and advanced wireless communication services are becoming scarce resources because of high data rate devices, which communicate by using electromagnetic waves. In CRN, licensed users are known as Primary User (PU) and unlicensed users are known as Secondary User (SU) where SU’s are responsible to sense the occupied spectrum and use it without any interruption by giving highest priority to PU [3] This electromagnetic wave media is highly disposed to noise and it is tough to detect the exact transmitted signal. The aim of this paper is to optimise the collaborative spectrum sensing by considering ED and BD over different fading channels like Rayleigh, Nakagami-m and Normal or Gaussian fading under MRC technique. It analyses the performance of BD and ED based on SNR label. The term indicates that primary user is detected with hypothesis
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