Efficient energy harvesting scheme with power optimization strategies over cognitive radio networks

Ajay, V. P.; Nesasudha, M.

doi:10.1016/j.matpr.2020.06.244

Cited by 3 publications

(2 citation statements)

References 4 publications

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“…A large number of recent works in the literature addresses the use of cooperative cognitive networks. [28][29][30][31] The one considered here is based on the system model presented in Pereira et al 32 and is detailed later in this manuscript.…”

Section: Motivation and Goalsmentioning

confidence: 99%

“…In addition, the results are used in the analysis of the performance of a cooperative cognitive network. A large number of recent works in the literature addresses the use of cooperative cognitive networks 28‐31 . The one considered here is based on the system model presented in Pereira et al 32 and is detailed later in this manuscript.…”

Section: Introductionmentioning

confidence: 99%

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Approximations for the product, ratio, and sum ofα‐μrandom variables with application in the analysis of cognitive radio networks

Leonardo

Mafra

Montejo‐Sánchez

et al. 2021

Int J Communication

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Summary Novel methods to approximate the probability density function of the product, ratio, and sum of α‐μ random variables are presented in this article. The approximations are simple to compute and produce results that range from fairly accurate to perfectly accurate, depending on the parameters of the involved α‐μ distributions. In addition, as an application of the results, it is investigated the performance of a cooperative cognitive network in which the secondary source and the relays are energy‐constrained nodes and harvest their energy from the primary network.

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