Dual Resource Joint Auction Algorithm For 5G Multiple Access Edge Computing With System Utility Guarantee

Multiple Access Edge Computing (MEC) can provide efficient and low latency computing services for computing tasks generated by mobile devices. How to formulate reasonable and effective resource allocation strategy and pricing strategy to ensure the maximization of overall system utility is a very challenging problem. In order to solve this problem, a dual resource joint auction algorithm (DRJAA) is proposed in this paper. The joint allocation of communication resources and computing resources is modeled as a three-stage parallel auction process considering resource constraints and distance, and a prioritization algorithm is designed to maximize the utility of resource suppliers. Simulation results show that DRJAA algorithm is superior to other existing algorithms in convergence speed, iteration times and transaction success rate, and can effectively reduce user delay.