Ain Shams Engineering Journal (Dec 2024)
Offloading computational tasks for MIMO-NOMA in mobile edge computing utilizing a hybrid Pufferfish and Osprey optimization algorithm
Abstract
One of the promising technologies to minimize computing delay and task offloading is Mobile Edge Computing (MEC), which enables mobile devices to offload high computational works. Non-Orthogonal Multiple Access (NOMA) is also regarded as one of the significant approaches for improving the spectrum efficacy, whereas the Massive Multiple-Input Multiple-Output (MIMO) helps to assist the enormous amount of candidates for continuous offloading. These two mechanisms can support the offloading and then enhance the MEC framework’s performance. Nevertheless, the incorporation of portable cloud computing might result in substantial delays in offloading or congestion in network traffic due to the restricted capacity of the main network infrastructure, particularly when a considerable number of users simultaneously seek computational offloading. This emphasizes the necessity for sophisticated network management and improvements to infrastructure in order to satisfy the increasing demands of mobile edge computing. This work presents a highly effective MIMO-NOMA technique in MEC to increase the process of task offloading. The objective of this work is to decrease the overall transmission and computing delay under the MEC computing capability and the transmit power of the user. With the support of this pairing mechanism for Massive MIMO-NOMA, the lower channel gain candidates and the greater channel gain users can offload their information to the MEC. The Hybrid PufferFish Osprey Optimization (HPFOO) algorithm is utilized to optimize the parameters in the model. The HPFOO is a combination of the Pufferfish Optimization Algorithm (POA) and Osprey Optimization Algorithm (OOA) with the goal of reducing both transmission and computing delay. The performance investigation of the NOMA-MIMO-based MEC device is carried out by comparing its overall latency and total data throughput with those of the current system configurations.
