Jian He

TL;DR: This paper considers the drone as a deployed base station to provide communication for ground users in the post-disaster area and investigates power and subcarrier allocation to maximize the downlink system capacity in the drone-assisted emergency communication system.

TL;DR: In this article, a pathfinding network is divided into a vehicle-mounted network layer and an individual soldier network layer, one layer is formed by vehiclemounted nodes with relatively stable structures, the other layer is forming by individual soldier backpack or handheld nodes with dynamically changing structures, and the individual soldier nodes have a relay routing function.

TL;DR: In this paper, the authors proposed a routing method for a mobile wireless communication network and a routing protocol for emergency communications for sudden disasters in complex geological areas, which can simplify the topological structure of the whole network, improve the structural stability of the network, reduce the end-to-end time delay of information transmission, and thus improve the timeliness and reliability of network data communication.

TL;DR: An unsupervised machine learning method is conducted for drone deployment in drone aided emergency communications and results show that although the number of drones obtained by the modified algorithm is more than that of the original k-means algorithm, all users are served and the minimum power of drones is guaranteed by proposed algorithms.