Joint Task Offloading and Resource Allocation for Multi-Task Multi-Server NOMA-MEC Networks

By offloading computationally intensive tasks of smart end devices to edge servers deployed at the network, mobile computing (MEC) has become a promising technology provide services for Internet Things (IoT) devices. In order further improve access capability MEC and increase spectrum utilization efficiency, in this article, Non-Orthogonal Multiple Access (NOMA) is introduced into systems we study problem multi-user, multi-task multi-server through joint optimization task resource allocation, intend maximize system's processing as an goal. To solve proposed mixed integer nonlinear programming (MINLP) problem, objective firstly decoupled two sub-problems allocation allocation. Secondly decomposed computation communication For it first fixed power then sub-channel regarded many-to-one matching between sub-channels users. addition, propose low-complexity sub-optimal algorithm efficiency. Based on our scheme, transmission convex which tackled by Lagrangian multiplier method. Finally, under condition all (EDs) are allocated. Experimental numerical results show that scheme can effectively decrease latency energy consumption networks, system capability, performance.