Learning-Based Dynamic Connectivity Maintenance for UAV-Assisted D2D Multicast Communication  

作　　者：Jingjing Wang Yanjing Sun Bowen Wang Shenshen Qian Zhijian Tian Xiaolin Wang 

机构地区：[1]School of Information and Control Engineering,China University of Mining and Technology,Xuzhou 221116,China [2]XCMG Fire-Fighting Safety Equipment Co.,Ltd,Xuzhou 221004,China [3]School of Mines,China University of Mining and Technology,Xuzhou 221116,China

出　　处：《China Communications》2023年第10期305-322,共18页中国通信（英文版）

基　　金：supported by the Future Scientists Program of China University of Mining and Technology(2020WLKXJ030);the Postgraduate Research&Practice Innovation Program of Jiangsu Province(KYCX201993).

摘　　要：Unmanned aerial vehicles(UAVs) enable flexible networking functions in emergency scenarios.However,due to the movement characteristic of ground users(GUs),it is challenging to capture the interactions among GUs.Thus,we propose a learningbased dynamic connectivity maintenance architecture to reduce the delay for the UAV-assisted device-todevice(D2D) multicast communication.In this paper,each UAV transmits information to a selected GU,and then other GUs receive the information in a multi-hop manner.To minimize the total delay while ensuring that all GUs receive the information,we decouple it into three subproblems according to the time division on the topology:For the cluster-head selection,we adopt the Whale Optimization Algorithm(WOA) to imitate the hunting behavior of whales by abstracting the UAVs and cluster-heads into whales and preys,respectively;For the D2D multi-hop link establishment,we make the best of social relationships between GUs,and propose a node mapping algorithm based on the balanced spanning tree(BST) with reconfiguration to minimize the number of hops;For the dynamic connectivity maintenance,Restricted Q-learning(RQL) is utilized to learn the optimal multicast timeslot.Finally,the simulation results show that our proposed algorithms perfor better than other benchmark algorithms in the dynamic scenario.

关 键 词：cluster-head selection whale optimization algorithm(WOA) balanced spanning tree(BST) multi-hop link establishment dynamic connectivity maintenance 

分 类 号：V19[航空宇航科学与技术—人机与环境工程] TN929.5[电子电信—通信与信息系统]