# US 12,192,791 B2 · Quality estimation apparatus, method and non-transitory computer readable medium for constructing quality of experience estimation models > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,192,791 B2 - Document ID: US12192791B2 - Status: Granted - Kind: B2 - Application number: 17/595,602 - Filed: 2019-05-27 - Published: 2022-07-21 - Granted: 2025-01-07 - Earliest claimed: 2019-05-27 - Assignees: Nippon Telegraph and Telephone Corporation - Applicants: Nippon Telegraph and Telephone Corporation - Inventors: Noriko Yoshimura; Noritsugu Egi - Web page: https://patentgrep.com/patent/US12192791B2 ## CPC - H04W 24/02: Arrangements for optimising operational condition - H04W 24/08: Testing, {supervising or monitoring} using real traffic - H04W 24/10: Scheduling measurement reports {; Arrangements for measurement reports} - H04W 28/24: Negotiating SLA [Service Level Agreement]; Negotiating QoS [Quality of Service] - H04W: WIRELESS COMMUNICATION NETWORKS (broadcast communication H04H; communication systems using wireless links for non-selective communication, e.g. wireless extensions H04M1/72) ## Abstract A quality estimation apparatus acquires quality information including QoEs and quality index values collected on a user terminal in a wireless network environment; and classifies the QoEs and quality index values according to area attributes. The quality estimation apparatus constructs QoE estimation models according to the respective area attributes using the acquired QoEs and quality index values for the respective area attributes. ## Claims ### Claim 1 A quality estimation apparatus comprising: a processor; and a memory that includes instructions, which when executed, cause the processor to execute: acquiring quality information including quality of experience information and quality index values collected on a user terminal in a wireless network environment; determining a first area attribute and a second area attribute, based on the acquired quality index values; recording an information set including (i) a first subset of the quality information associated with the first area attribute, and (ii) a second subset of the quality information associated with the second area attribute; and constructing (i) a first quality of experience estimation model for the first area attribute, and (ii) a second quality of experience estimation model for the second area attribute, based on the information set. ### Claim 2 (depends on 1) The quality estimation apparatus according to claim 1, wherein the processor is further caused to execute: acquiring a quality index value from a target user terminal whose quality of experience is to be estimated and determining an area attribute of an area in which the target user terminal is located, based on mapping information between areas and area attributes; and estimating quality of experience on the target user terminal based on a quality index value acquired from the target user terminal, using a quality of experience estimation model corresponding to the determined area attribute. ### Claim 3 (depends on 1) The quality estimation apparatus according to claim 1, wherein the determination of the first area attribute and the second area attribute is based on position information that indicates a position in which the user terminal is located, and time-series information about the acquired quality index values. ### Claim 4 (depends on 3) The quality estimation apparatus according to claim 3, wherein the determination of the first area attribute and the second area attribute is based on the number of peaks in the quality index values and on time slots in which the peaks occur. ### Claim 5 (depends on 4) The quality estimation apparatus according to claim 4, wherein the first area attribute indicates a commuting route, and the quality index values includes a peak in the morning and a peak in the evening. ### Claim 6 (depends on 4) The quality estimation apparatus according to claim 4, wherein the first area attribute indicates a business district, and the quality index values includes a peak only in a time slot corresponding to a lunch break. ### Claim 7 (depends on 4) The quality estimation apparatus according to claim 4, wherein the first area attribute indicates a residential district, and the quality index values includes a peak only in the nighttime. ### Claim 8 (depends on 1) The quality estimation apparatus according to claim 1, wherein the quality index values include web loading time. ### Claim 9 (depends on 1) The quality estimation apparatus according to claim 1, wherein the first subset of the quality information and the second subset of the quality information are rearranged in time sequence. ### Claim 10 A method, comprising: acquiring quality information including quality of experience information and quality index values collected on a user terminal in a wireless network environment; determining a first area attribute and a second area attribute, based on the acquired quality index values; recording an information set including (i) a first subset of the quality information associated with the first area attribute, and (ii) a second subset of the quality information associated with the second area attribute; and constructing (i) a first quality of experience estimation model for the first area attribute, and (ii) a second quality of experience estimation model for the second area attribute, based on the information set. ### Claim 11 (depends on 10) The method according to claim 10, further comprising: acquiring a quality index value from a target user terminal whose quality of experience is to be estimated and determining an area attribute of an area in which the target user terminal is located, based on mapping information between areas and area attributes; and estimating quality of experience on the target user terminal based on a quality index value acquired from the target user terminal, using a quality of experience estimation model corresponding to the determined area attribute. ### Claim 12 (depends on 10) The method according to claim 10, wherein the determination of the first area attribute and the second area attribute is based on position information that indicates a position in which the user terminal is located, and time-series information about the acquired quality index values. ### Claim 13 (depends on 10) The method according to claim 10, wherein the determination of the first area attribute and the second area attribute is based on the number of peaks in the quality index values and on time slots in which the peaks occur. ### Claim 14 (depends on 10) The method according to claim 10, wherein the quality index values include web loading time. ### Claim 15 A non-transitory computer readable medium storing a program, which when executed, causes a computer to: acquire quality information including quality of experience information and quality index values collected on a user terminal in a wireless network environment; determine a first area attribute and a second area attribute, based on the acquired quality index values; record an information set including (i) a first subset of the quality information associated with the first area attribute, and (ii) a second subset of the quality information associated with the second area attribute; and construct (1) a first quality of experience estimation model for the first area attribute, and (ii) a second quality of experience estimation model for the second area attribute, based on the information set. ### Claim 16 (depends on 15) The non-transitory computer readable medium according to claim 15, wherein the program, which when executed, further causes the computer to: acquire a quality index value from a target user terminal whose quality of experience is to be estimated and determining an area attribute of an area in which the target user terminal is located, based on mapping information between areas and area attributes; and estimate quality of experience on the target user terminal based on a quality index value acquired from the target user terminal, using a quality of experience estimation model corresponding to the determined area attribute. ### Claim 17 (depends on 15) The non-transitory computer readable medium according to claim 15, wherein the determination of the first area attribute and the second area attribute is based on position information that indicates a position in which the user terminal is located, and time-series information about the acquired quality index values. ### Claim 18 (depends on 15) The non-transitory computer readable medium according to claim 15, wherein the determination of the first area attribute and the second area attribute is based on the number of peaks in the quality index values and on time slots in which the peaks occur. ### Claim 19 (depends on 15) The non-transitory computer readable medium according to claim 15, wherein the quality index values include web loading time.