Radio Resource Allocation Scheme for Drone-Assisted AR Applications
Yang Meng, Qingmin Meng, Wenjing Yue, Yulong Zou, Xiaoming Wang · 2018
Mobile edge computing facilitates the implementation of computationally intensive applications on mobile devices, such as Mobile Augmented Reality (MAR). The MAR application usually includes three modules, namely, data collection in the uplink, edge computing and data transmission in the downlink, and the cooperation between the modules will help improve the energy consumption performance of the AR system. We propose an integrated MAR transmission design with companion drones and a high energy efficiency resource allocation scheme. Through a successive convex approximation (SCA) algorithm, we convert non-convex problems into convex ones for optimal solution. Compared with traditional independent offloading by users, joint relay transmission and shared uplink data offloading schemes can produce significant gains in energy efficiency.