Robust Energy-Efficient Resource Management, SIC Ordering, and Beamforming Design for MC MISO-NOMA Enabled 6G

This paper studies a novel approach for successive interference cancellation (SIC) ordering and beamforming in multiple antennas non-orthogonal access (NOMA) network with multi-carrier multi-user setup. To this end, we formulate joint design, subcarrier allocation, user association, SIC algorithm to maximize the worst-case energy efficiency (EE). The formulated problem is non-convex mixed integer non-linear programming (MINLP) which generally difficult solve. handle it, first adopt linearizion technique as well relaxing variables, then employ Dinkelbach convert it into more mathematically tractable form. adopted optimization transformed an equivalent rank-constrained semidefinite (SDP) solved by SDP relaxation exploiting sequential fractional programming. Furthermore, strike balance between complexity performance, low complex based on alternative adopted. Numerical results unveil that proposed method outperforms conventional existing works addressed literature.