  This paper examines the energy efficiency optimization problem of intelligent
reflective surface (IRS)-assisted multi-user rate division multiple access
(RSMA) downlink systems under terahertz propagation. The objective function for
energy efficiency is optimized using the salp swarm algorithm (SSA) and
compared with the successive convex approximation (SCA) technique. SCA
technique requires multiple iterations to solve non-convex resource allocation
problems, whereas SSA can consume less time to improve energy efficiency
effectively. The simulation results show that SSA is better than SCA in
improving system energy efficiency, and the time required is significantly
reduced, thus optimizing the system's overall performance.
