Non orthogonal multiple access with acoustic energy harvesting

This paper investigates Non-Orthogonal Multiple Access (NOMA) in which the source harvests energy from acoustic signals before transmitting to the destination. Unlike conventional RF-based energy harvesting, acoustic energy harvesting enables autonomous operation in environments where radio signals are impractical. We derive closed-form expressions for the probability density function (PDF), cumulative distribution function (CDF), and moment generating function (MGF) of the signal-to-noise ratio (SNR). The PDF of the harvested acoustic energy is also obtained. Performance metrics including throughput and packet error probability are analyzed. Furthermore, we formulate an optimization problem to determine the optimal energy harvesting duration that maximizes the achievable data rate. Simulation results validate the theoretical analysis and demonstrate the effectiveness of the proposed approach in enhancing energy and spectral efficiency.