公开(公告)号：US12101161B2

公开(公告)日：2024-09-24

申请号：US17790070

申请日：2021-09-13

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Yuhua Su ,  Nan Zhao ,  Xiaowei Pang ,  Xu Jiang ,  Deyue Zou

IPC: H04B7/145 ,  H04B1/04 ,  H04B7/185 ,  H04J1/08 ,  H04W16/18 ,  H04W16/22

CPC classification number: H04B7/145 ,  H04W16/18 ,  H04W16/22

Abstract: The present invention provides a design method of a high energy efficiency Unmanned Aerial Vehicle (UAV) communication system assisted by an intelligent reflecting surface, and belongs to the technical field of UAV communication network energy efficiency optimization. A communication process comprises two transmission links, one link is directly sent from an information source to an information sink, and the other link is reflected and transmitted by an intelligent reflecting surface attached to a UAV. The two links exist simultaneously. Based on an idea of block iteration, an original problem is decomposed into three sub-problems, and a non-convex optimization problem is transformed into solvable concave-convex fractional program problems by a continuous convex approximation technique. The present invention provides a design method for joint optimization of a passive beamforming of the intelligent reflecting surface, an active beamforming of a base station and a flight trajectory of the UAV.

公开(公告)号：US11858627B2

公开(公告)日：2024-01-02

申请号：US17619487

申请日：2021-06-10

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Tianhao Wang ,  Nan Zhao ,  Xiaowei Pang ,  Deyue Zou ,  Bingcai Chen

IPC: B64C39/02 ,  G05B17/02

CPC classification number: B64C39/024 ,  G05B17/02 ,  B64U2201/10

Abstract: A design method of a high energy efficiency unmanned aerial vehicle (UAV) green data acquisition system belongs to the technical field of data acquisition and optimization for UAV uplink communication. Firstly, a system optimization objective is constructed; and in a uplink communication network of a single UAV and ground sensors, the UAV receives data periodically. Secondly, according to a constructed optimization problem, the optimization objective is maximization of EE({W},{t},{S}). Finally, an original problem is decomposed into two approximate concave-convex fractional sub-problem based on a block coordinate descent method and a successive convex approximation technique to obtain a suboptimal solution; an overall iterative algorithm is proposed: in each iteration, by solving the sub-problems, wake-up scheduling S, time slot t and UAV trajectory W are alternately optimized. The solution obtained in each iteration is used as the input of next iteration. The present invention can jointly optimize the UAV flight trajectory, the sensor wake-up scheduling and the flight time slot to ensure that the transmission information amount and energy consumption of the sensors satisfy system requirements, while maximizing the energy efficiency of the system.