Resource Management for Differentiated Computation Capability in IRS-Aided Wireless Powered Mobile Edge Computing Systems
Xueyan Cao, Shubin Wang, Xiaolong Wu · IEEE Transactions on Vehicular Technology · 2024
The progression of computing paradigms is characterized by the emergence of wireless-powered mobile edge computing (WP-MEC), which has significantly transformed resource-efficient and ubiquitous processing at the edges of wireless networks. Integrating intelligent reflecting surfaces (IRS) into WP-MEC systems introduces new opportunities by enhancing transmission channel quality while addressing challenging resource management issues. To tackle these challenges, this paper proposes a collaborative transmission and resource management scheme to facilitate differentiated computation capabilities. Specifically, a novel performance metric called energy cost-effectiveness is introduced to comprehensively assess the performance of IRS-aided coupling. Subsequently, a collaborative transmission mechanism is developed, incorporating communication, energy transmission, and edge computing considerations with adaptive IRS association. To further optimize system performance, two adaptable resource management strategies are devised to maximize energy cost-effectiveness by jointly optimizing IRS, communication, energy, and computation resources, tailored for both unlimited and limited computation capabilities. Comparative analysis with benchmark schemes demonstrates the superiority of the proposed collaborative transmission and resource management approach in enhancing transmission quality and reducing energy consumption. Moreover, the benefits of IRS integration, in terms of energy cost-effectiveness improvement through appropriate quantity and configuration, are highlighted, underscoring its potential to shape the future landscape of industrial Internet-of-Things.