Cooperative Spectrum Sensing Using Maximum a Posteriori as a Detection Technique for Dynamic Spectrum Access Networks

Abstract

Over the past few years, dynamic spectrum access has been gaining an increasing attention as a solution to the spectrum scarcity problem. In this paper, a primary user detection technique based on Maximum A Posteriori estimation is proposed for dynamic spectrum access networks. In the proposed technique, a set of secondary users acting as sensing nodes send their individual decisions about the existence of the primary user to a central fusion center. The fusion center uses the received data to form a codeword then, applies the maximum a posteriori estimation rule to make a final decision regarding the presence of the primary user. The proposed technique takes into consideration the accuracy of the local decisions provided by the secondary users when making a final decision. In this paper, we analyze the performance of the proposed scheme and derive closed-form expressions for the upper bounds of the false alarm and misdetection probabilities. The results show that the proposed technique outperforms other combining techniques in terms of its ability to detect the primary user and, accordingly, minimizes the harmful interference to the licensed network. Moreover, the proposed technique achieves better performance at a lower number of reporting secondary users which compensates for the complexity of the maximum a posteriori estimation.

Spectrum sensing and resource allocation for 5G heterogeneous cloud radio access networks

“…Cooperative spectrum sensing is widely investigated in the literature [24][25][26][27][28][29][30][31]. In [24] a centralized primary user detection technique is proposed. In this work, sensing nodes send their individual decisions about the existence of the primary user to a central fusion center.…”

“…Cooperative spectrum sensing is widely investigated in the literature [24][25][26][27][28][29][30][31]. In [24] a centralized primary user detection technique is proposed.…”

Spectrum Sensing for DTMB-A System Using Accumulated Autocorrelation

“…In CR systems, there are some limitations for single node spectrum sensing due to the shading, multipath effect and hidden terminal problems. Therefore, cooperative sensing using the information from different nodes is proposed to obtain reliable sensing results [19], [20], [21], [22]. Assume that each node in cooperative sensing uses the DIPNAC detector to complete the sensing procedures independently.…”