Joint Trajectory and Power Optimization for UAV Relay Networks

By Shuhang Zhang, Hongliang Zhang, Qichen He, Kaigui Bian, Lingyang Song. IEEE Communications Letters, 2018

414 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/1406dc097463b99c0e41caf371ccad979885a2f3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Rui Zhang
2. Shuowen Zhang
3. Yong Zeng
4. Qingqing Wu
5. Lingyang Song
6. Hongliang Zhang
7. Boya Di
8. Shuhang Zhang

In Computer Networks and Communications

1. Rui Zhang
2. Yong Zeng
3. Shuowen Zhang
4. Lingyang Song
5. Hongliang Zhang
6. Shuhang Zhang
7. Boya Di
8. Qingqing Wu

In Electrical and Electronic Engineering

1. Rui Zhang
2. Shuowen Zhang
3. Yong Zeng
4. Qingqing Wu
5. Hongliang Zhang
6. Lingyang Song
7. Boya Di
8. Changsheng You

Citations in the corpus

• Cellular-Enabled UAV Communication: A Connectivity-Constrained Trajectory Optimization Perspective (2018, methodology): “As an extension to [50], a UAV-mounted mobile amplify-and-forward (AF) relay was considered in [51], where the UAV trajectory and transmit power were jointly optimized to minimize the outage probability of the relay network.”
• Cellular UAV-to-X Communications: Design and Optimization for Multi-UAV Networks (2018, methodology): “A trajectory design and power control algorithm was introduced for a UAV relay network in [20] to improve the reliability of transmissions.”