The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 02, 2021

Filed:

Feb. 07, 2019
Applicant:

Beihang University, Beijing, CN;

Inventors:

Xianbin Cao, Beijing, CN;

Wenbo Du, Beijing, CN;

Peng Yang, Beijing, CN;

Xing Xi, Beijing, CN;

Dapeng Wu, Beijing, CN;

Assignee:

BEIHANG UNIVERSITY, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B64C 39/02 (2006.01); H04B 7/10 (2017.01); G08G 5/00 (2006.01); H04B 7/185 (2006.01);
U.S. Cl.
CPC ...
B64C 39/024 (2013.01); G08G 5/0021 (2013.01); H04B 7/185 (2013.01); B64C 2201/122 (2013.01); B64C 2201/143 (2013.01);
Abstract

Provided is a multi-UAV continuous movement control method for energy efficient communication coverage. The method includes: determining observation information at a current moment, the observation information including one or more of the following: energy consumption information of a UAV, coverage indication information of users covered by a UAV network facilitated by the UAV or coverage fairness information of the UAV network; determining control information corresponding to the observation information using a DDPG model according to the observation information, wherein the DDPG model is generated from a DDPG algorithm with sample information as an input, the sample information indicating a mapping relationship between sampled observation information and sampled control information; and controlling the UAV to move according to the control information. The value of the mobile policy from the DDPG model is continuous, thus mitigating the imprecision in existing movement control due to the discreteness in evaluating the mobile policy.


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