Energy-efficient opportunistic multi-carrier NOMA-based resource allocation for beyond 5G (B5G) networks

The interplay between the non-orthogonal multiple access (NOMA) and opportunistic cognitive radio (CR)-based orthogonal frequency (OFDMA) has been recently realized as a promising paradigm to support unprecedented massive connectivity demands of future beyond fifth-generation (B5G) wireless communication systems. In such systems, which are called multi-carrier NOMA CR-based each licensed band reserved for primary users can be opportunistically utilized based on power-domain serve group secondary simultaneously. An important challenge in this domain is how provide energy-efficient resource allocation techniques that attempt strike balance total throughput (i.e., achieved sum-rate) power required achieve rate while satisfying network QoS being aware unique characteristics CR operating environment. paper, we propose an technique aims at maximizing overall energy efficiency (EE) system under set constraints. EE maximization problem shown fractional non-convex optimization, is, general, hard optimize. To deal with non-convexity nature formulated problem, exploit Dinkelbach’s algorithm transfer parameterized optimization problem. Then use iterative approach obtain solution Simulation results reveal maximization-based outperforms existing terms striking good sum-rate transmit consumption.