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Extending the Performance Analysis of SHARP—Spectrum Harvesting with ARQ Retransmission and Probing in Cognitive Radio

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IT Convergence and Security

Abstract

This paper proposes an extension of the method entitled Spectrum Harvesting with ARQ Retransmission and Probing (SHARP), an underlay cognitive radio network (CRN) technique where the secondary pair listens to the primary Automatic Repeat Request (ARQ) feedback to glean information about the primary channel and probe it getting additional information of the relative cross channel strength. This probing mechanism and two varieties of spectrum sharing, named conservative and aggressive SHARP, are used depending on the desired secondary user interference in the primary. A completely new modeling was made considering more retransmissions and, therefore, analyzing new probabilities and regions of operation. The influence in the performance of the scheme by increasing the number of retransmissions is studied based on numerical results and some insight about the evaluation of a generic scenario prediction are provided, as long as a trade-off conclusion about the viability of increasing or not the number of retransmissions in such schemes.

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Correspondence to Jose Marcos Camara Brito .

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Rocha, N.W.R., Brito, J.M.C. (2021). Extending the Performance Analysis of SHARP—Spectrum Harvesting with ARQ Retransmission and Probing in Cognitive Radio. In: Kim, H., Kim, K.J. (eds) IT Convergence and Security. Lecture Notes in Electrical Engineering, vol 712. Springer, Singapore. https://doi.org/10.1007/978-981-15-9354-3_8

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