Trajectory Design for Completion Time Minimization in UAV-Enabled Multicasting

By Yong Zeng, Xiaoli Xu, Rui Zhang. IEEE Transactions on Wireless Communications, 2018

372 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/e8571b4e62c4deebdd4aece804f571c9040ff338

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. Qingqing Wu
3. Merouane Debbah
4. Yong Zeng
5. Yuanwei Liu
6. Shuowen Zhang
7. Walid Saad
8. Medhi Bennis

In Computer Networks and Communications

1. Rui Zhang
2. Medhi Bennis
3. Walid Saad
4. Merouane Debbah
5. Qingqing Wu
6. Yong Zeng
7. Mohammad Mozaffari
8. Jie Xu

Citations in the corpus

• Cellular-Enabled UAV Communication: A Connectivity-Constrained Trajectory Optimization Perspective (2018, methodology): “A UAV-enabled multicasting system was studied in [60], where a UAV-BS is deployed to disseminate a common file to multiple ground users.”
• Multi-Agent Reinforcement Learning-Based Resource Allocation for UAV Networks (2018, background): “By transforming the continuous trajectory into a set of discrete waypoints, the authors in [15] investigated the UAV’s trajectory design with minimizing the mission completion time in a UAV-enabled multicasting system.”
• Accessing From the Sky: A Tutorial on UAV Communications for 5G and Beyond (2019, methodology): “In this case, variations of TSP algorithms can be applied by adding dummy cities/GTs whose distances with the existing cities/GTs are properly set [74].”
• UAV Trajectory Planning for Data Collection from Time-Constrained IoT Devices (2020, methodology): “In [18], the authors optimized the UAV’s trajectory to minimize the time to completely disseminate a common file to a number of distributed ground terminals.”
• Energy Minimization for Wireless Communication With Rotary-Wing UAV (2018, methodology): “One effective method for solving TSPN is to firstly ignore the disk radius and solve the TSP problem over the K GN locations {wk} to obtain the visiting order [π̂(1), · · · , π̂(K)] [29].”
• Communications and Control for Wireless Drone-Based Antenna Array (2017, methodology): “However, the work in [16] does not analyze a scenario with multiple UAVs.”
• Optimal 3D-Trajectory Design and Resource Allocation for Solar-Powered UAV Communication Systems (2018, background): “In fact, the UAVs in [5]–[11] are required to return to their home base frequently to recharge their batteries.”