Drone base station trajectory planning for optimal resource scheduling in LTE Sparse M2M networks
Files
Department
Electronics & Communications Engineering Department
Description
[abstract not available]
Publication Date
6-1-2019
Document Type
Book Chapter
Book Title
2019 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2019
ISBN
9781728132341
Publisher
IEEE
City
Piscataway, NJ
Keywords
ACO, Drones, GA, LTE, M2M, TSP
Recommended Citation
APA Citation
El Sayed, Z.
&
Gadallah, Y.
(2019).Drone base station trajectory planning for optimal resource scheduling in LTE Sparse M2M networks. IEEE.
https://fount.aucegypt.edu/faculty_book_chapters/161
MLA Citation
El Sayed, Zeinab, et al.
Drone base station trajectory planning for optimal resource scheduling in LTE Sparse M2M networks. IEEE, 2019.
https://fount.aucegypt.edu/faculty_book_chapters/161