NOMA Spectrum Assignment + PSO-based Power Optimization

Assign the spectrum using power-domain NOMA on OFDM subcarriers and uses a Particle Swarm Optimization (PSO)
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Actualizado 18 ago 2025

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  • Simulates an OFDM system with Rayleigh fading and distance-based pathloss.
  • On each subcarrier, it pairs the weakest and strongest user (classic NOMA pairing).
  • Uses PSO (implemented from scratch—no toolboxes needed) to:
  • Allocate total power across subcarriers (gamma_n, normalized),
  • Choose the weak/strong split per subcarrier (beta_n with a lower bound beta_min for the weak user).
  • Objective balances pure throughput (sum-rate) and proportional fairness: tune lambda between 0 and 1.
Compares against:
  • Equal-power NOMA with fixed beta,
  • OMA (one user per subcarrier—the best one).

Citar como

Vasim babu M (2025). NOMA Spectrum Assignment + PSO-based Power Optimization (https://es.mathworks.com/matlabcentral/fileexchange/181825-noma-spectrum-assignment-pso-based-power-optimization), MATLAB Central File Exchange. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2025a
Compatible con cualquier versión
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Versión Publicado Notas de la versión
1.0.0