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Non orthogonal multiple access (NOMA) with energy harvesting from vibrations

  • Hatem Boujemaa,
  • Musaed Alhussein,
  • Ghaya Rekaya

摘要

In this article, we evaluate the throughput of NOMA with energy harvesting from vibrations. NOMA is the best candidate for 6 G communications as it offers larger data rates than 5 G. However, NOMA’s performance and throughput have not been yet derived when the source harvests energy from vibrations. Indeed, energy harvesting from vibrations is a technology that consists in converting mechanical vibrations into electrical energy. The vibrations sources can come from industrial machinery, vehicles, or human motion and they can be captured by using piezoelectric materials. The harvested energy from vibrations is proportional to the the product of the squared value of the mechanical deformation d and the frequency of the mechanical vibration f. Both f and d follow a Gaussian distribution. The harvested power depends also on the capacity of the piezoelectric element C and the force factor g. The harvesting process was also optimized in order to maximize data rates. We have derived the statistics of the harvested energy from vibrations as well as that of the Signal to Interference plus Noise Ratio (SINR) to compute and maximize the throughput.