# US 2018/0324692 A1 · Optimization of mobile phone service during power failure > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2018/0324692 A1 - Document ID: US20180324692A1 - Status: Published application - Kind: A1 - Application number: 16/031,577 - Filed: 2018-07-10 - Published: 2018-11-08 - Earliest claimed: 2014-03-13 - Assignees: International Business Machines Corporation - Applicants: International Business Machines Corporation - Inventors: Kohichi Kamijoh; Hitomi Takahashi - Web page: https://patentgrep.com/patent/US20180324692A1 ## CPC - H04W 52/0206: {in access points, e.g. base stations} - H04W 24/02: Arrangements for optimising operational condition - H04W 24/06: Testing, {supervising or monitoring} using simulated traffic - H04W 24/08: Testing, {supervising or monitoring} using real traffic - H04W 64/00: Locating users or terminals {or network equipment} for network management purposes, e.g. mobility management - Y02D 30/70: in wireless communication networks - H04W: WIRELESS COMMUNICATION NETWORKS (broadcast communication H04H; communication systems using wireless links for non-selective communication, e.g. wireless extensions H04M1/72) - Y02D: CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE ## Abstract Optimization of mobile telecommunications service during a power outage at one or more base stations, wherein optimization includes identifying one or more of a plurality of base stations to which non-emergency electrical power has been interrupted; determining an initial number of users in areas corresponding to the one or more of the plurality of base stations; generating a user location probability model and a user call probability model; scheduling initial battery power operation for the plurality of base stations; monitoring user calls and user movement after the battery power operation has started; updating the user location probability model and the user call probability model based on the monitoring; and updating battery power operation scheduling for the plurality of base stations. ## Claims ### Claim 1 A computer-implemented method for optimizing mobile telecommunications service, comprising: determining an initial number of users in areas corresponding to one or more of a plurality of base stations to which electrical power has been interrupted; generating a user location probability model and a user call probability model; monitoring user calls and user movement after battery power operation has started; and updating the user location probability model, the user call probability model, and battery power operation scheduling for the plurality of base stations based on the monitoring. ### Claim 2 (depends on 1) The method as recited in claim 1, further comprising scheduling initial battery power operation for the plurality of base stations, wherein the scheduling includes scheduling initial battery power operation based on at least one of the initial number of users, the user location probability model, and the user call probability model. ### Claim 3 (depends on 1) The method as recited in claim 1, wherein the updating battery power operation scheduling includes updating the battery power operation scheduling based on at least one of a current number of users, the updated user location probability model and the updated user call probability model. ### Claim 4 (depends on 1) The method as recited in claim 1, further comprising updating battery power operation scheduling for the plurality of base stations, wherein the updated battery power operation scheduling includes updating the battery power operation scheduling to minimize average wait time for a call connection. ### Claim 5 (depends on 1) The method as recited in claim 1, further comprising updating battery power operation scheduling for the plurality of base stations, wherein the updated battery power operation scheduling includes updating the battery power operation scheduling to maximize duration of battery power driven operation of the plurality of base stations. ### Claim 6 (depends on 1) The method as recited in claim 1, further comprising updating battery power operation scheduling for the plurality of base stations, wherein the steps of the monitoring of user calls and user movement, the updating the user location probability model and the user call probability, and the updating the battery power operation scheduling for the plurality of base stations are repeated until optimization has been achieved. ### Claim 7 (depends on 1) The method as recited in claim 1, further comprising scheduling initial battery power operation for the plurality of base stations, wherein the scheduling includes scheduling initial battery power operation based on the initial number of users, the user location probability model, and the user call probability model. ### Claim 8 A non-transitory computer readable storage medium comprising a computer readable program for optimizing mobile telecommunications service, wherein the computer readable program when executed on a computer causes the computer to perform: determining an initial number of users in areas corresponding to one or more of a plurality of base stations to which electrical power has been interrupted; generating a user location probability model and a user call probability model; monitoring user calls and user movement after battery power operation has started; and updating the user location probability model, the user call probability model, and battery power operation scheduling for the plurality of base stations based on the monitoring. ### Claim 9 (depends on 8) The non-transitory computer readable storage medium comprising a computer readable program as recited in claim 8, further comprising scheduling initial battery power operation for the plurality of base stations, wherein the scheduling includes scheduling initial battery power operation based on at least one of the initial number of users, the user location probability model, and the user call probability model. ### Claim 10 (depends on 8) The non-transitory computer readable storage medium comprising a computer readable program as recited in claim 8, wherein the updating battery power operation scheduling includes updating the battery power operation scheduling based on at least one of a current number of users, the updated user location probability model and the updated user call probability model. ### Claim 11 (depends on 8) The non-transitory computer readable storage medium comprising a computer readable program as recited in claim 8, further comprising updating battery power operation scheduling for the plurality of base stations, wherein the updated battery power operation scheduling includes updating the battery power operation scheduling to minimize average wait time for a call connection. ### Claim 12 (depends on 8) The non-transitory computer readable storage medium comprising a computer readable program as recited in claim 8, further comprising updating battery power operation scheduling for the plurality of base stations, wherein the updated battery power operation scheduling includes updating the battery power operation scheduling to maximize duration of battery power driven operation of the plurality of base stations. ### Claim 13 (depends on 8) The non-transitory computer readable storage medium comprising a computer readable program as recited in claim 8, further comprising updating battery power operation scheduling for the plurality of base stations, wherein the steps of the monitoring of user calls and user movement, the updating the user location probability model and the user call probability, and the updating the battery power operation scheduling for the plurality of base stations are repeated until optimization has been achieved. ### Claim 14 A system for optimizing mobile telecommunications service, comprising: a processor operatively coupled to a memory, the processor being configured for: determining an initial number of users in areas corresponding to one or more of a plurality of base stations to which electrical power has been interrupted; generating a user location probability model and a user call probability model; monitoring user calls and user movement after battery power operation has started; and updating the user location probability model, the user call probability model, and battery power operation scheduling for the plurality of base stations based on the monitoring. ### Claim 15 (depends on 14) The system as recited in claim 14, wherein the processor is further configured to schedule initial battery power operation for the plurality of base stations, wherein the scheduling initial battery power operation is based on at least one of the initial number of users, the user location probability model, and the user call probability model. ### Claim 16 (depends on 14) The system as recited in claim 14, wherein the updating battery power operation scheduling is based on at least one of a current number of users, the updated user location probability model and the updated user call probability model. ### Claim 17 (depends on 14) The system as recited in claim 14, wherein the processor is further configured to update battery power operation scheduling for the plurality of base stations, wherein the updated battery power operation scheduling minimizes average wait time for a call connection. ### Claim 18 (depends on 14) The system as recited in claim 14, wherein the processor is further configured to update battery power operation scheduling for the plurality of base stations, wherein the updated battery power operation scheduling maximizes duration of battery power driven operation of the plurality of base stations. ### Claim 19 (depends on 14) The system as recited in claim 14, wherein the processor is further configured to update battery power operation scheduling for the plurality of base stations, wherein the steps of the monitoring of user calls and user movement, the updating the user location probability model and the user call probability, and the updating the battery power operation scheduling for the plurality of base stations are repeated until optimization has been achieved. ### Claim 20 (depends on 14) The system as recited in claim 14, wherein the processor is further configured to schedule initial battery power operation for the plurality of base stations, wherein the scheduling initial battery power operation is based on the initial number of users, the user location probability model, and the user call probability model.