Energy Efficient Power Allocation Using Salp Particle Swarm Optimization Model in MIMO-NOMA Systems

Non-orthogonal multiple access (NOMA) acts as one of the promising multiple access technology for fifth generation communication systems, and has the capability of improving the performance of the system. It can be extended with multiple input multiple output (MIMO) systems with multi-users to produce considerable gains. The energy efficiency (EE) of MIMO-NOMA systems needs to be improved, for which the optimization method, termed as Salp Particle Swarm optimization for Power allocation (SPPA) model is proposed. The SPPA optimization model is obtained from the integration of Particle Swarm Optimization and Salp Swarm Algorithm and the proposed SPPA model schedules the user on the basis of EE and spectral efficiency in such a way that it offers an effective platform to provide the energy efficient power allocation. The scheduling is performed using the SPPA algorithm that prioritizes the users in an optimal way based on the objective function. The experimentation is performed using the evaluation metrics, such as Bit error ratio (BER), spectral power, achievable rate, and energy. The effectiveness of the proposed power allocation method is revealed through lower BER of 0.0004 and higher spectral power, achievable rate, and energy of 180.0013, 99.8578, and 19.6683, respectively.