User equipment assisted mapping of access points

1 . A method for determining locations for a plurality of wireless nodes in a wireless network, comprising:

determining a location of at least one wireless node in the plurality of wireless nodes;

determining one or more distances between pairs of wireless nodes in the plurality of wireless nodes;

generating a loss function based on possible locations of each of the plurality of wireless nodes, wherein the loss function has a low value when the possible locations are consistent with the location of the at least one wireless node and the one or more distances between the pairs of wireless nodes;

determining a set of location values to minimize the loss function; and

outputting a location for each of the plurality of wireless nodes based on the set of location values.

2 . The method of claim 1 , wherein determining the set of locations values to minimize the loss function includes executing a gradient descent algorithm on a plurality of location values.

3 . The method of claim 1 , wherein determining the set of locations values to minimize the loss function includes executing a genetic algorithm in combination with a gradient descent algorithm.

4 . The method of claim 3 , wherein executing the genetic algorithm in combination with the gradient descent algorithm comprises:

generating a plurality of candidate positions;

computing a gradient descent on each of the plurality of candidate positions;

selecting a subset of the plurality of candidate positions based on the gradient descent;

generating one or more cross-over candidate positions based on the subset of the plurality of candidate positions; and

determining whether a global minimum is realized.

5 . The method of claim 4 , wherein selecting the subset of the plurality of candidate positions includes computing a diversity index for each pair of the plurality of candidate positions and selecting a pair of the plurality of candidate positions when the diversity index is greater than a diversity radius value.

6 . The method of claim 1 , wherein the location of the at least one wireless node in the plurality of wireless nodes is based on a global navigation satellite system.

7 . The method of claim 1 , wherein the location of the at least one wireless node in the plurality of wireless nodes is based on one or more signal exchanges with a terrestrial communications system.

8 . The method of claim 1 , wherein the at least one wireless node in the plurality of wireless nodes is a mobile device.

9 . The method of claim 1 , wherein the at least one wireless node in the plurality of wireless nodes is an access point configured to obtain the location based on a global navigation satellite system.

10 . The method of claim 1 , wherein determining the one or more distances between the pairs of wireless nodes in the plurality of wireless nodes is based on one or more time-of-flight measurements.

11 . The method of claim 10 , wherein the one or more time-of-flight measurements are based on signals transmitted with a plurality of radio technologies.

12 . The method of claim 11 , wherein the plurality of radio technologies include WiFi, Bluetooth, Ultrawideband, and New Radio Sidelink.

13 . An apparatus, comprising:

at least one memory;

at least one transceiver;

at least one processor communicatively coupled to the at least one memory and the at least one transceiver, and configured to:

determine a location of at least one wireless node in a plurality of wireless nodes;

determine one or more distances between pairs of wireless nodes in the plurality of wireless nodes;

generate a loss function based on possible locations of each of the plurality of wireless nodes, wherein the loss function has a low value when the possible locations are consistent with the location of the at least one wireless node and the one or more distances between the pairs of wireless nodes;

determine a set of location values to minimize the loss function; and

output a location for each of the plurality of wireless nodes based on the set of location values.

14 . The apparatus of claim 13 , wherein the at least one processor is further configured to execute a gradient descent algorithm on a plurality of location values to determine the set of locations values to minimize the loss function.

15 . The apparatus of claim 13 , wherein the at least one processor is further configured to execute a genetic algorithm in combination with a gradient descent algorithm to determine the set of locations values to minimize the loss function.

16 . The apparatus of claim 15 , wherein the at least one processor is further configured to:

generate a plurality of candidate positions;

compute a gradient descent on each of the plurality of candidate positions;

select a subset of the plurality of candidate positions based on the gradient descent;

generate one or more cross-over candidate positions based on the subset of the plurality of candidate positions; and

determine whether a global minimum is realized.

17 . The apparatus of claim 16 , wherein the at least one processor is further configured to compute a diversity index for each pair of the plurality of candidate positions and select a pair of the plurality of candidate positions when the diversity index is greater than a diversity radius value.

18 . An apparatus for determining locations for a plurality of wireless nodes in a wireless network, comprising:

means for determining a location of at least one wireless node in the plurality of wireless nodes;

means for determining one or more distances between pairs of wireless nodes in the plurality of wireless nodes;

means for generating a loss function based on possible locations of each of the plurality of wireless nodes, wherein the loss function has a low value when the possible locations are consistent with the location of the at least one wireless node and the one or more distances between the pairs of wireless nodes;

means for determining a set of location values to minimize the loss function; and

means for outputting a location for each of the plurality of wireless nodes based on the set of location values.

19 . The apparatus of claim 18 , wherein the means for determining the set of locations values to minimize the loss function includes means for executing a genetic algorithm in combination with a gradient descent algorithm.

20 . The apparatus of claim 19 , wherein the means for executing the genetic algorithm in combination with the gradient descent algorithm comprises:

means for generating a plurality of candidate positions;

means for computing a gradient descent on each of the plurality of candidate positions;

means for selecting a subset of the plurality of candidate positions based on the gradient descent;

means for generating one or more cross-over candidate positions based on the subset of the plurality of candidate positions; and

means for determining whether a global minimum is realized.