NOMA

• Non-Orthogonal Multiple Access Power Optimisation Using Particle Swarm Optimisation(PSO) and Neural network.
• Given total power, channel characteristics, PSO is modified to find the power distribution such that it maximises the channel capacity with minimal requirement of service on each link.
• Achieve the same regression using neural network.

Repo

• Matlab code for PSO is in PSO folder named data_generate
• dataset_with_single_variance consists of dataset generated using only one fixed variance of the channel co-efficients.
• dataset_with_different_variances consists of dataset generated using many different values of variances ranging from 1-20.
• data_refined folder contains files for NN with removing unnecessary data.
• plots folder contains some of the performance check of the NN.

Team

• Venkatesh T K [https://github.com/VenkateshTK]
• Mukesh Gandhi [https://github.com/MukkeshGandhi09]