Joint Communication-Caching-Computing Resource Allocation for Bidirectional Data Computation in IRS-Assisted Hybrid UAV-Terrestrial Network

扫码查看

原文链接

万方数据

外文摘要：Joint communication-caching-computing resource allocation in wireless inland waterway communica-tions enables resource-constrained unmanned surface vehicles(USVs)to provision computation-intensive and latency-sensitive tasks forward beyond fifth-generation(B5G)and sixth-generation(6G)era.The power of such resource allo-cation cannot be fully studied unless bidirectional data computation is properly managed.A novel intelligent reflecting surface(IRS)-assisted hybrid UAV-terrestrial network architecture is proposed with bidirectional tasks.The sum of uplink and downlink bandwidth minimization problem is formulated by jointly considering link quality,task execution mode selection,UAVs trajectory,and task execution latency constraints.A heuristic algorithm is proposed to solve the formulated challenging problem.We divide the original challenging problem into two subproblems,i.e.,the joint optimization problem of USVs offloading decision,caching decision and task execution mode selection,and the joint optimization problem of UAVs trajectory and IRS phase shift-vector design.The Karush-Kuhn-Tucker conditions are utilized to solve the first subproblem and the enhanced differential evolution algorithm is proposed to solve the latter one.The results show that the proposed solution can significantly decrease bandwidth consumption in comparison with the selected advanced algorithms.The results also prove that the sum of bandwidth can be remarkably decreased by implementing a higher number of IRS elements.

外文关键词：

Intelligent reflecting surfaceUnmanned surface vehiclesBidirectional data computationRe-source allocation

作者：

Yangzhe LIAO、Lin LIU、Yuanyan SONG、Ning XU

展开 >

作者单位：

School of Information Engineering,Wuhan University of Technology,Wuhan 430070,China

基金：

Natural Science Foundation of ChinaNational Key R&D Program of ChinaShenzhen Science and Technology Program

项目编号：

522014172021ZD 0114600JCYJ20220818102002005

出版年：

2024

DOI：

10.23919/cje.2023.00.089

电子学报(英文)

CSTPCDEI

ISSN：1022-4653

年,卷(期)：2024.33(4)