# US 2015/0146550 A1 · Method of and system for optimizing an empirical propagation prediction model in a mobile communications network > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2015/0146550 A1 - Document ID: US20150146550A1 - Status: Published application - Kind: A1 - Application number: 14/089,265 - Filed: 2013-11-25 - Published: 2015-05-28 - Earliest claimed: 2013-11-25 - Assignees: Motorola Solutions, Inc. - Applicants: Motorola Solutions, Inc - Inventors: RITSUKO POLLARD; THOMAS N. RUBINSTEIN; SAMIR A. SAWAYA - Web page: https://patentgrep.com/patent/US20150146550A1 ## CPC - H04W 16/22: Traffic simulation tools or models - H04W 16/18: Network planning tools - H04W 16/24: Cell structures - H04W 24/00: Supervisory, monitoring or testing arrangements - H04W 24/02: Arrangements for optimising operational condition - H04W: WIRELESS COMMUNICATION NETWORKS (broadcast communication H04H; communication systems using wireless links for non-selective communication, e.g. wireless extensions H04M1/72) ## Abstract A propagation prediction model having adjustable parameters is optimized in a mobile communications network, by subdividing a service area into a plurality of map tiles, predicting a tile reliability from the model for each map tile, averaging the predicted tile reliability from all the map tiles to obtain a predicted average service area reliability, measuring a service area reliability for all the map tiles to obtain a measured service area reliability, comparing the predicted average service area reliability with the predicted average service area reliability, and adjusting the parameters of the model when the measured service area reliability differs from the predicted average service area reliability by a predetermined amount. ## Claims ### Claim 1 A method of optimizing a propagation prediction model having adjustable parameters in a mobile communications network, the method comprising: subdividing a service area into a plurality of map tiles; predicting a tile reliability from the model for each map tile; averaging the predicted tile reliability from all the map tiles to obtain a predicted average service area reliability; measuring a service area reliability for all the map tiles to obtain a measured service area reliability; comparing the measured service area reliability with the predicted average service area reliability; and adjusting the parameters of the model when the measured service area reliability differs from the predicted average service area reliability by a predetermined amount. ### Claim 2 (depends on 1) The method of claim 1, wherein the subdividing is performed by configuring the map tiles as individual areas arranged in rows and columns within the service area. ### Claim 3 (depends on 1) The method of claim 1, wherein the predicting is performed by retrieving data from databases. ### Claim 4 (depends on 1) The method of claim 1, wherein the averaging is performed by adding the predicted map tile reliabilities from all the map tiles to form a sum, and then by dividing the sum by the total number of the map tiles. ### Claim 5 (depends on 1) The method of claim 1, wherein the measuring is performed by determining whether or not a communications signal exceeding a threshold is received in each map tile. ### Claim 6 (depends on 1) The method of claim 1, wherein the measuring is performed by testing whether a communications criterion has been satisfied in each map tile, by counting how many map tiles have satisfied the criterion to obtain a total, and by dividing the total by the total number of the map tiles. ### Claim 7 (depends on 1) The method of claim 1, wherein the measuring is performed by one of a subjective test and an objective test. ### Claim 8 (depends on 1) The method of claim 1, wherein the optimizing is iteratively performed by repeating the predicting, averaging, measuring, comparing and adjusting steps. ### Claim 9 (depends on 1) The method of claim 1, and subdividing a land mass into a plurality of substantially uniform geomorphic regions, associating the service area with at least one of the regions, and using the adjusted parameters for the service area as the basis for other service areas in the at least one region. ### Claim 10 (depends on 9) The method of claim 9, and retrieving land cover data for patches in each region, associating each patch with a terrain category, and adjusting the parameters for each category. ### Claim 11 (depends on 1) The method of claim 1, wherein the adjusting is performed by adjusting an offset sampling parameter of the model. ### Claim 12 A system for optimizing a propagation prediction model having adjustable parameters in a mobile communications network, the system comprising: a processor; and a memory comprising instructions configured to enable the processor to subdivide a service area into a plurality of map tiles, predict a tile reliability from the model for each map tile, average the predicted tile reliability from all the map tiles to obtain a predicted average service area reliability, measure a service area reliability for all the map tiles to obtain a measured service area reliability, compare the measured service area reliability with the predicted average service area reliability, and adjust the parameters of the model when the measured service area reliability differs from the predicted average service area reliability by a predetermined amount. ### Claim 13 (depends on 12) The system of claim 12, wherein the instructions are iteratively performed. ### Claim 14 (depends on 12) The system of claim 12, wherein the instructions are further configured to enable the processor to subdivide a land mass into a plurality of substantially uniform geomorphic regions, associate the service area with at least one of the regions, and use the adjusted parameters for the service area as the basis for other service areas in the at least one region. ### Claim 15 (depends on 14) The system of claim 14, wherein the instructions are further configured to retrieve land cover data for patches in each region, associate each patch with a terrain category, and adjust the parameters for each terrain category. ### Claim 16 A computer-readable storage medium for optimizing a propagation prediction model having adjustable parameters in a mobile communications network, the medium comprising instructions, which when executed by a computer, cause the computer to: subdivide a service area into a plurality of map tiles, predict a tile reliability from the model for each map tile, average the predicted tile reliability from all the map tiles to obtain a predicted average service area reliability, measure a service area reliability for all the map tiles to obtain a measured service area reliability, compare the measured service area reliability with the predicted average service area reliability, and adjust the parameters of the model when the measured service area reliability differs from the predicted average service area reliability by a predetermined amount. ### Claim 17 (depends on 16) The medium of claim 16, wherein the instructions are iteratively performed by the computer. ### Claim 18 (depends on 16) The medium of claim 16, wherein the instructions further cause the computer to subdivide a land mass into a plurality of substantially uniform geomorphic regions, associate the service area with at least one of the regions, and use the adjusted parameters for the service area as the basis for other service areas in the at least one region. ### Claim 19 (depends on 18) The medium of claim 18, wherein the instructions further cause the computer to retrieve land cover data for patches in each region, associate each patch with a terrain category, and adjust the parameters for each terrain category.