Abstract:In this paper, a pattern search (PS)-based solution is proposed for nonconvex multiband cooperative sensing (NCMCS) problem in cognitive radio systems. This problem consists of maximizing cumulative throughput subject to constraints on cumulative interference, probability of detection, and probability of false alarm. Initially in existing literature, this problem was solved under constraints that make it convex. However, removing the conditions for convexity and solving the NCMCS problem have been shown to imp… Show more
“…PS algorithm comprises of two main steps that is exploratory and updating. In exploratory step , a mesh, which is a group of points, is selected around the existing points [22]. These existing points can be either initial points provided at the start of the algorithm or points obtained from a previous step.…”
“…PS algorithm comprises of two main steps that is exploratory and updating. In exploratory step , a mesh, which is a group of points, is selected around the existing points [22]. These existing points can be either initial points provided at the start of the algorithm or points obtained from a previous step.…”
“…By controlling the reporting order of local statistics, the global statistic at the fusion center accumulates faster than the case without order control. Apart from the fundamental aspects of CSS, there are also many other branches of the CSS research, such as multi-band sensing [25]- [27], energy-aware sensing [28]- [32], malicious user detection [33]- [35] and so on. More related works can be found in the recent CSS surveys [36], [37].…”
Industrial wireless networks (IWNs) are characteristically different from traditional wireless systems due to harsh radio frequency (RF) environments and applications that impose high real-time and reliability constraints. One of the promising technologies for enabling IWNs is the cognitive radio. This paper designs a novel subcarrier modulation-based cooperative spectrum sensing (SMCSS) scheme for cognitive industrial wireless networks (CIWNs). Based on the orthogonal frequency division multiplexing physical layer, the local decisions are sent to the fusion center orthogonally in the frequency domain via physical layer signaling with binary amplitude shift keying symbols, which significantly reduces the reporting delay of the SMCSS. Furthermore, a two-level decision fusion method is proposed to cope with the harsh control channel that suffers from strong Gaussian noise and Rayleigh fading. Sensing parameters of the two-level decision fusion are optimized for minimizing the total sensing error rate of CIWNs. Finally, a reputation updating mechanism is combined with the SMCSS to improve its robustness against unreliable subcarriers due to RF hostile industrial environments.INDEX TERMS Industrial wireless networks, cognitive radio, spectrum sensing, decision fusion, total sensing error rate.
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