Abstract
This paper examines the detection challenges faced by the cognitive radio network in the scenario where the node position of the secondary user changes rapidly, hence causing a significant amount of large-scale fading. To analyze this we have adopted a natural generalization of the fluctuating two-ray fading (FTR) channel that takes into account the simultaneous effects of both small and large-scale fading. Hence, in this direction, we have presented a composite fading model where small-scale fading is characterized as FTR distributed and large-scale fading as inverse gamma distributed. We derive exact analytical closed-form expressions for the composite probability distribution function (PDF) and cumulative distribution function (CDF) and then obtain a set of new statistical results. These results are further extended to obtain the analytical expressions for (i) Single user detection probability (ii) multi-user detection probability and (iii) average area under the receiver operating characteristic for energy detection-based spectrum sensing. A thorough investigation of the derived expression is used to quantify the degree of deterioration observed in the detection performance due to large-scale fading effects and the extent of performance benefit obtained by exploiting the cooperative spectrum sensing technique under different scenarios. The validity of the derived expressions is verified by Monte-Carlo simulations.
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Kumar, R., Soni, S.K., Singh, S. et al. New statistics on FTR fading over dynamic scenario and energy detector performance. Wireless Netw 30, 1277–1284 (2024). https://doi.org/10.1007/s11276-023-03575-3
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DOI: https://doi.org/10.1007/s11276-023-03575-3