论文摘要
The airborne base station（ABS） can provide wireless coverage to the ground in unmanned aerial vehicle（UAV） cellular networks.When mobile users move among adjacent ABSs,the measurement information reported by a single mobile user is used to trigger the handover mechanism.This handover mechanism lacks the consideration of movement state of mobile users and the location relationship between mobile users,which may lead to handover misjudgments and even communication interrupts.In this paper,we propose an intelligent handover control method in UAV cellular networks.Firstly,we introduce a deep learning model to predict the user trajectories.This prediction model learns the movement behavior of mobile users from the measurement information and analyzes the positional relations between mobile users such as avoiding collision and accommodating fellow pedestrians.Secondly,we propose a handover decision method,which can calculate the users’ corresponding receiving power based on the predicted location and the characteristic of air-to-ground channel,to make handover decisions accurately.Finally,we use realistic data sets with thousands of non-linear trajectories to verify the basic functions and performance of our proposed intelligent handover controlmethod.The simulation results show that the handover success rate of the proposed method is 8% higher than existing methods.
论文目录
文章来源
类型: 期刊论文
作者: Bo Hu,Hanzhang Yang,Lei Wang,Shanzhi Chen
来源: 中国通信 2019年01期
年度: 2019
分类: 信息科技,经济与管理科学,工程科技Ⅱ辑
专业: 航空航天科学与工程,电信技术
单位: State Key Lab of Networking and Switching Technology,Beijing University of Posts and Telecommunications,State Key Lab of Wireless Mobile Communication,China Academy of Telecommunication Technology
基金: supported in parts by the National Natural Science Foundation of China for Distinguished Young Scholar under Grant 61425012,the National Science and Technology Major Projects for the New Generation of Broadband Wireless Communication Network under Grant 2017ZX03001014
分类号: TN929.5;V279
页码: 1-14
总页数: 14
文件大小: 2309K
下载量: 55