Enhancing 5G Mobility and Performance through Multi-Access Edge Computing Integration and Cooperative Computing Offloading
Shreya B Devagiri, M. N. Vijayalakshmi · 2024
The rapid progression of fifth generation (5G) technology has transformed the landscape of networking and telecommunications, introducing unprecedented data rates and minimal latency, thus unlocking new possibilities for innovative applications. In our study, we delve into the ongoing evolution of 5G, with a particular focus on achieving seamless mobility and integrating Multi-Access Edge Computing (MEC) into 5G networks. We underscore the pivotal role of MEC integration in enhancing 5G capabilities, highlighting its capacity to facilitate efficient computation and data processing at the network edge. Our research explores the integration of cooperative computing with both serial and parallel offloading techniques, tailored to specific scenarios. Through meticulous analysis and experimentation, we assess how this integration optimizes task offloading strategies within dynamic network environments, aiming to enhance efficiency and performance in addressing the myriad challenges of modern wireless networks. The fusion of cooperative computing with serial and parallel offloading presents a promising pathway for meeting the demands of dynamic network environments. Our findings emphasize the potential of this integration in optimizing resource utilization, mitigating latency, and bolstering overall system performance. By adapting task offloading strategies to diverse scenarios, we establish a foundation for more efficient and adaptive network architectures, thereby contributing to the ongoing evolution of wireless communication technologies.