Collaborative Cache Allocation and Transmission Scheduling for Multi-User in Edge Computing

Abstract

Driven by the ubiquitous smart devices, wireless traffic data has increased significantly and brings a great burden on backhaul links. Edge caching and device-to-device are proved not only can overcome the above challenges, but also to reduce the energy consumption of devices. Meanwhile, the development of hardware makes it possible for terminal devices to cache popular content (referred to as "helpers"). In this paper, a device-to-device assisted edge caching network via helpers is designed to provide low-latency content access and alleviate the traffic load. Then, we formulate the problem of maximization of the successful delivery rate under the constraints of the Signal-to-Interference-plus-Noise Ratio and caching capacity as an integer programming and pose a novel efficient and effective scheme. Based on the algorithm, we first transform the problem into a tractable form. Then this paper presents a hybrid of heuristic approach and iterative selection method to limit the search scope. The simulations demonstrate the method can significantly reduce the system computation time. Moreover, the effects of different scenarios and parameter settings about the successful delivery rate of the Device-to-Device assisted edge caching networks are analyzed.