Implementing wireless communication networks using unmanned aerial vehicles

Patent metadata

Field	Value
Publication number	US-10470243-B2
Application number	US-201816037536-A
Country	US
Kind code	B2
Filing date	Jul 17, 2018
Priority date	Aug 3, 2017
Publication date	Nov 5, 2019
Grant date	Nov 5, 2019

Abstract

A system for implementing a wireless communication network is provided. The system includes a plurality of unmanned aerial vehicles (UAVs) forming a wireless multi-hop mesh network constituting a backhaul. A given one of the UAVs includes a radio access network (RAN) agent configured to determine at least one UAV configuration for optimized coverage of one or more user equipment (UE) devices in a terrestrial zone, a haul agent configured to coordinate an optimization of the backhaul based at least in part on the at least one UAV configuration determined by the RAN agent, and a core agent configured to implement a distributed core architecture among the plurality of UAVs. The system further includes a controller configured to control the plurality of UAVs based on information received from at least one of the agents.

First claim

What is claimed is:

1. A system for implementing a wireless communication network, comprising:
a plurality of unmanned aerial vehicles (UAVs) forming a wireless multi-hop mesh network constituting a backhaul in an airspace, a given one of the plurality of UAVs being configured to perform operations including:
obtaining one or more first locations of one or more respective user equipment devices (UEs), including sampling a plurality of second locations of the given UAV in the airspace, using one or more reference signal channel measurements from the one or more UEs to estimate a range from time of flight from each of the plurality of second locations to the one or more UEs, and employing trilateration to estimate the one or more first locations;
determining at least one UAV configuration for optimized coverage performance of the one or more UEs in a terrestrial coverage zone corresponding to the wireless multi-hop mesh network, including constructing a radio frequency (RF) map of the airspace based on the one or more first locations, and determining the UAV configuration for delivering the optimized coverage performance in the terrestrial coverage zone based on the constructed RF map; and
coordinating an optimization of the backhaul based at least in part on the at least one UAV configuration.

2. The system of claim 1 , wherein the wireless communication network includes a Long-Term Evolution (LTE) network.

3. The system of claim 1 , wherein, in obtaining the one or more first locations, the given UAV is further configured to automatically localize the one or more UEs by leveraging RAN and synchronous transmission characteristics.

4. The system of claim 1 , wherein, in determining the UAV configuration, the given UAV is further configured to solve an optimization problem based on a desired coverage objective to determine an optimal configuration of operation or a set of efficient configurations.

5. The system of claim 1 , wherein the given UAV is configured to perform further operations including coordinating the optimization of the backhaul based on information regarding incoming traffic demand and outgoing traffic demand, and information regarding backhaul capabilities of the given UAV.

6. The system of claim 1 , further comprising a controller configured to control the plurality of UAVs based on information received, wherein the controller is further configured to run the optimization of the backhaul.

7. The system of claim 6 , wherein the controller is further configured to determine an appropriate allocation of wireless channels and spatial channels at each of the plurality of UAVs to determine a backhaul topology that minimizes wireless interference and maximizes traffic flow that can be routed over the backhaul.

8. The system of claim 1 , wherein the wireless communication network includes a low-altitude platform (LAP) network.

9. The system of claim 1 , wherein the wireless communication network includes a high-altitude platform (HAP) network.

10. An unmanned aerial vehicle (UAV) associated with a plurality of UAVs for implementing a wireless communication network, the plurality of UAVs forming a wireless multi-hop mesh network constituting a backhaul in an airspace, the UAV being configured to perform operations including:
obtaining one or more first locations of one or more respective user equipment devices (UEs), including sampling a plurality of second locations of the UAV in the airspace, using one or more reference signal channel measurements from the one or more UEs to estimate a range from time of flight from each of the plurality of second locations to the one or more UEs, and employing trilateration to estimate the one or more first locations;
determining at least one UAV configuration for optimized coverage performance of the one or more UEs in a terrestrial coverage zone corresponding to the wireless multi-hop mesh network, including constructing a radio frequency (RF) map of the airspace based on the one or more first locations, and determining the UAV configuration for delivering the optimized coverage performance in the terrestrial coverage zone based on the constructed RF map; and
coordinating an optimization of the backhaul based at least in part on the at least one UAV configuration.

11. The UAV of claim 10 , wherein the UAV is configured to communicate with a controller configured to control the UAV based on information received.

12. The UAV of claim 11 , wherein the controller is further configured to determine an appropriate allocation of wireless channels and spatial channels at each of the plurality of UAVs to determine a backhaul topology that minimizes wireless interference and maximizes traffic flow that can be routed over the backhaul.

13. The UAV of claim 11 , wherein the controller is further configured to run the optimization of the backhaul.

14. The UAV of claim 10 , wherein the wireless communication network includes a Long-Term Evolution (LTE) network.

15. The UAV of claim 10 , wherein, in determining the UAV configuration, the UAV is further configured to estimate respective obtain the one or more first locations of the one or more UEs by leveraging RAN and synchronous transmission characteristics to automatically localize the one or more UEs.

16. The UAV of claim 15 , wherein, in determining the UAV configuration, the UAV is further configured to solve an optimization problem based on a desired coverage objective to determine an optimal configuration of operation or a set of efficient configurations.

17. The UAV of claim 10 , wherein the UAV is configured to perform further operations including coordinating the optimization of the backhaul based on information regarding incoming traffic demand and outgoing traffic demand, and information regarding backhaul capabilities of the given UAV.

Assignees

• Nec Lab America Inc
• Nec Corp

Inventors

• Sundaresan Karthikeyan
• Chai Eugene
• Chakraborty Ayon
• Rangarajan Sampath

Classifications

• B64U2101/20

  for use as communications relays, e.g. high-altitude platforms · CPC title

• H04W72/541

  using the level of interference · CPC title

• H04W64/003

  locating network equipment · CPC title

• H04W84/06

  Airborne or Satellite Networks (space-based or airborne stations H04B7/185) · CPC title

• H04W84/22

  with access to wired networks · CPC title