Joint Computational Offloading and Data-Content Caching in NOMA-MEC Networks

Multi-access edge computing (MEC) can improve the users' computational capacity and battery life by moving services to network edge. In addition, data-content caching on a MEC server improves user quality of experience decreases backhaul congestion. Moreover, non-orthogonal multiple access (NOMA) has recently been implemented increase throughput capacity. Combining these techniques performance benefit network. This paper investigates combined offloading problem for NOMA-MEC systems. The aim was achieve minimum total completion latency all users jointly optimizing decision, strategy, resource, power allocation. satisfies constraints within scope potential violation energy consumption, computation storage server. formulated is mixed-integer non-linear programming non-convex problem. To solve this challenging problem, block successive upper-bound minimization method obtain efficient solutions. Numerous simulation results were presented demonstrate convergence efficacy proposed algorithm. Compared with other schemes all-offloading, local-only, equal resources, our algorithm approximately reduce 17.68%, 26.02%, 70.98%.