Radio Resource Allocation Of Drone-assisted AR Application

Mobile edge computing(MEC)facilitates the implementation of high energy efficiency,low latency and high reliability in 5G services.MEC has become a key technology in 5G.In order to better use mobile applications with high interactive experience and reduce the battery capacity burden of hardware devices,MEC can be used to implement computationally intensive applications on mobile devices,such as Mobile Augmented Reality(MAR).The MAR application usually consists of three modules,namely data collection in the uplink,edge computation and data transmission in the downlink.The cooperation between the modules will help to improve the energy consumption performance of the MAR system.The varying channel quality in the urban will result in a high demand for the mobile device’s transmit power and also increase the system’s transmission energy consumption.To solve this problem,this thesis proposes a joint uplink resource sharing transmission scheme.The specific research contents and innovations are as follows:1.A wireless energy consumption model is studied in the thesis.For the MAR application scenario with the accompanying flying drone,the deployed wireless relay can effectively resist large path loss.This thesis defines a truncated Rayleigh fading channel to obtain an optimized offloading scheme for user equipment energy performance under constraints such as strict time delay and fixed transmit power.2.This thesis proposes a mobile cloud offload optimization method,which includes data model,channel model and transmission energy model.The system math optimization problem model includes energy consumption at the user equipment and the edge cloud server,respectively.The optimization problem is solved by using KKT conditions,and the optimal solution under different conditions is derived by different configurations of parameters.3.This thesis proposes a shared offload resource transmission scheme for drone as relay.According to the presence or absence of the companion flying drone auxiliary transmission and the presence or absence of shared data transmission,it is divided into four transmission modes.The different scenes are transformed into mathematical optimization problems.The convex optimization tool CVX in Matlab is used to process,and the Successive Convex Approximation(SCA)algorithm is used to transform the non-convex problem into a convex problem for optimization.The computational simulation results show that the joint relay transmission and uplink data shared offloading scheme can produce significant gain in energy efficiency compared to the traditionalindependent offloading scheme.