Joint 3D Deployment and Resource Allocation for UAV-assisted Integrated Communication and Localization

作     者：Bi, Suzhi Yu, Jiaxing Yang, Zheyuan Lin, Xiaohui Wu, Yuan 

作者机构：The State Key Laboratory of Radio Frequency Heterogeneous Integration Shenzhen University Guangdong Shenzhen51800 China The Department of Broadband Communication Peng Cheng Laboratory Shenzhen518066 China The Department of Information Engineering The Chinese University of Hong Kong Hong Kong The State Key Laboratory of Internet of Things for Smart City The Department of Computer and Information Science University of Macau China 

出 版 物：《arXiv》 (arXiv)

年 卷 期：2023年

核心收录：

主　　题：Resource allocation 

摘      要：In this paper, we investigate an unmanned aerial vehicle (UAV)-assisted integrated communication and localization network in emergency scenarios where a single UAV is deployed as both an airborne base station (BS) and anchor node to assist ground BSs in communication and localization services. We formulate an optimization problem to maximize the sum communication rate of all users under localization accuracy constraints by jointly optimizing the 3D position of the UAV, and communication bandwidth and power allocation of the UAV and ground BSs. To address the intractable localization accuracy constraints, we introduce a new performance metric and geometrically characterize the UAV feasible deployment region in which the localization accuracy constraints are satisfied. Accordingly, we combine Gibbs sampling (GS) and block coordinate descent (BCD) techniques to tackle the non-convex joint optimization problem. Numerical results show that the proposed method attains almost identical rate performance as the meta-heuristic benchmark method while reducing the CPU time by 89.3%. Copyright © 2023, The Authors. All rights reserved.