Method and system in a wireless communications for estimating quality based on learning model

1. A computer-implemented method for wireless communication, the method comprising:

generating, by a base station, information on radio wave environment in a cell based on an uplink wireless signal received from one or more terminals in the cell;

storing, for one or more pieces of terminal position information for the one or more terminals in the cell, learning model data for a learning model based on the information on the radio wave environment, wherein the learning model is for generating information on communication quality at an amount of processing that is equal to or less than a predetermined threshold based on the learning model data;

selecting at least a part of the learning model data based on the one or more pieces of terminal position information; and

transmitting, by the base station, the selected at least a part of the learning model data through a downlink wireless signal, causing a receiving terminal in the cell to:

generate information on communication quality based on the selected at least a part of the learning model data and information on the radio wave environment in the cell based on the downlink wireless signal, and

control communication resources for processing wireless signals based at least on the generated information on communication quality, wherein the wireless signals include at least either the downlink wireless signal or the uplink wireless signal.

2. The computer-implemented method of claim 1 , the method further comprising:

estimating positions of the one or more terminals in the cell; and

generating the one or more pieces of terminal position information based on the estimated positions.

3. The computer-implemented method of claim 1 , the method further comprising:

until the amount of processing is more than a predetermined threshold, recursively updating, by the base station, the learning model data based on supervised data, wherein the supervised data is based on a combination of the information on communication quality, the information on radio wave environment, and the terminal position information.

4. The computer-implemented method of claim 1 , the method further comprising:

receiving, by the base station, a request signal from one of the one or more terminals in the cell; and

updating the learning model data based on the request signal.

5. The computer-implemented method of claim 1 , wherein the transmitting of the selected at least a part of the learning model data further causes the receiving terminal in the cell to:

generate the information on communication quality based on the selected at least a part of the learning model data;

determine an error in one or more parameters of the generated information on the communication quality based on a difference between the one or more parameters of the generated information on the communication quality and a set of reference values based on learning operations of the learning model;

adjust the one or more parameters of the generated information on the communication quality based on the determined error; and

control the communication resources for processing the wireless signals using the adjusted one or more parameters of the generated information on the communication quality.

6. The computer-implemented method of claim 1 , wherein the information on radio wave environment comprises one or more of:

transmission power based on one or more signal strengths,

interference based on one or more data error rates, and

reflection of transmitted radio waves.

7. The computer-implemented method of claim 1 , wherein the information on the communication quality includes one or more throughputs of data communication by the one or more terminals in the cell.

8. A system for wireless communication, the system comprising:

a processor; and

a memory storing computer-executable instructions that when executed by the processor cause the system to:

generate, by a base station, information on radio wave environment in a cell based on an uplink wireless signal received from one or more terminals in the cell;

store, for one or more pieces of terminal position information for the one or more terminals in the cell, learning model data for a learning model based on the information on the radio wave environment, wherein the learning model is for generating information on the communication quality at an amount of processing that is equal to or less than a predetermined threshold based on the learning model data;

select at least a part of the learning model data based on the one or more pieces of terminal position information; and

transmit, by the base station, the selected at least a part of the learning model data through a downlink wireless signal, causing a receiving terminal in the cell to:

generate information on communication quality based on the selected at least a part of the learning model data and information on the radio wave environment in the cell based on the downlink wireless signal, and

control communication resources for processing wireless signals based at least on the generated information on the communication quality, wherein the wireless signals include at least either the downlink wireless signal or the uplink wireless signal.

9. The system of claim 8 , the computer-executable instructions when executed further causing the system to:

estimate positions of the one or more terminals in the cell; and

generate the one or more pieces of terminal position information based on the estimated positions.

10. The system of claim 8 , the computer-executable instructions when executed further causing the system to:

until the amount of processing is more than a predetermined threshold, recursively update, by the base station, the learning model data based on supervised data, wherein the supervised data is based on a combination of the information on the communication quality, the information on the radio wave environment, and the terminal position information.

11. The system of claim 8 , the computer-executable instructions when executed further causing the system to:

receive, by the base station, a request signal from one of the one or more terminals in the cell; and

update the learning model data based on the request signal.

12. The system of claim 8 , wherein the transmitting of the selected at least a part of the learning model data further causes the receiving terminal in the cell to:

generate the information on the communication quality based on the selected at least a part of the learning model data;

determine an error in one or more parameters of the generated information on the communication quality based on a difference between the one or more parameters of the generated information on the communication quality and a set of reference values based on learning operations of the learning model;

adjust the one or more parameters of the generated information on communication quality based on the determined error; and

control the communication resources for processing the wireless signals using the adjusted one or more parameters of the generated information on the communication quality.

13. The system of claim 8 , wherein the information on the radio wave environment comprises one or more of:

transmission power based on one or more signal strengths,

interference based on one or more data error rates, and

reflection of transmitted radio waves.

14. The system of claim 8 , wherein the information on the communication quality includes one or more throughputs of data communication by the one or more terminals in the cell.

15. A computer-readable non-transitory recording medium storing computer-executable instructions that when executed by a processor cause a computer system to:

generate, by a base station, information on radio wave environment in a cell based on an uplink wireless signal received from one or more terminals in the cell;

store, for one or more pieces of terminal position information for the one or more terminals in the cell, learning model data for a learning model based on the information on the radio wave environment, wherein the learning model is for generating information on communication quality at an amount of processing that is equal to or less than a predetermined threshold based on the learning model data;

select at least a part of the learning model data based on the one or more pieces of terminal position information; and

transmit, by the base station, the selected at least a part of the learning model data through a downlink wireless signal, causing a receiving terminal in the cell to:

generate information on communication quality based on the selected at least a part of the learning model data and information on the radio wave environment in the cell based on the downlink wireless signal, and

control communication resources for processing wireless signals based at least on the generated information on communication quality, wherein the wireless signals include at least either the downlink wireless signal or the uplink wireless signal.

16. The computer-readable non-transitory recording medium of claim 15 , wherein the computer-executable instructions when executed further cause the system to:

estimate positions of the one or more terminals in the cell; and

generate the one or more pieces of terminal position information based on the estimated positions.

17. The computer-readable non-transitory recording medium of claim 15 , wherein the computer-executable instructions when executed further cause the system to:

until the amount of processing is more than the predetermined threshold, recursively update, by the base station, the learning model data based on supervised data, wherein the supervised data is based on a combination of the information on the communication quality, the information on the radio wave environment, and the terminal position information.

18. The computer-readable non-transitory recording medium of claim 15 , wherein the computer-executable instructions when executed further cause the system to:

receive, by the base station, a request signal from one of the one or more terminals in the cell; and

update the learning model data based on the request signal.

19. The computer-readable non-transitory recording medium of claim 15 , wherein the transmitting of the selected at least a part of the learning model data further causes the receiving terminal in the cell to:

generate the information on communication quality based on the selected at least a part of the learning model data;

determine an error in one or more parameters of the generated information on the communication quality based on a difference between the one or more parameters of the generated information on the communication quality and a set of reference values based on learning operations of the learning model;

adjust the one or more parameters of the generated information on the communication quality based on the determined error; and

control the communication resources for processing the wireless signals using the adjusted one or more parameters of the generated information on the communication quality.

20. The computer-readable non-transitory recording medium of claim 15 , wherein the information on the radio wave environment comprises one or more of:

transmission power based on one or more signal strengths,

interference based on one or more data error rates, and

reflection of the transmitted radio waves.