Massive UAV-to-Ground Communication and its Stable Movement Control: A Mean-Field Approach
By Hyesung Kim, Jihong Park, Medhi Bennis, Seong-Lyun Kim. 2018
39 citations recorded by the source corpus.
This paper proposes a real-time movement control algorithm for massive unmanned aerial vehicles (UAV s) that provide emergency cellular connections in an urban disaster site. While avoiding the inter-Uavcollision under temporal wind dynamics, the proposed algorithm minimizes each UAV's energy consumption per unit downlink rate. By means of a mean-field game theoretic flocking approach, the velocity control of each UAV only requires its own location and channel states. Numerical results validate the performance of the algorithm in terms of the number of collisions and energy consumption per data rate, under a realistic 3GPP UAV channel model.
Subfields: Aerospace Engineering, Computer Networks and Communications
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
- Medhi Bennis
- Walid Saad
- Merouane Debbah
- Mohammad Mozaffari
- Rui Zhang
- Jihong Park
- Sumudu Samarakoon
- Yong Zeng
In Computer Networks and Communications
- Medhi Bennis
- Merouane Debbah
- Walid Saad
- Jihong Park
- Sumudu Samarakoon
- H. Vincent Poor
- Mohammad Mozaffari
- Hamid Shiri
Citations in the corpus
- Wireless Network Intelligence at the Edge (2018, background): “(a) MFG in Wireless Systems: With the aforementioned wind dynamics, the work [165] investigated the UAV mobility control that avoids inter-UAV collisions while maximizing their air-to-ground communication performance.”
- Massive Autonomous UAV Path Planning: A Neural Network Based Mean-Field Game Theoretic Approach (2019, methodology): “In view of this, we adopt the CuckerSmale flocking [1], [14] that reduces the relative velocities for the UAVs.”
- Beyond 5G With UAVs: Foundations of a 3D Wireless Cellular Network (2018, background): “However, none of the previous works on UAV communications [3]–[7], [12]–[20], [23]–[26], studied a 3D wireless network of co-existing aerial base stations and users (i.”
- Ultrareliable and Low-Latency Wireless Communication: Tail, Risk, and Scale (2018, background): “In this case, UAVs can enable a reliable and low-latency wireless backhaul connectivity for ground networks [3], [57], [58].”