# US 12,004,079 B2 · System and method for RAN power and environmental orchestration > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,004,079 B2 - Document ID: US12004079B2 - Status: Granted - Kind: B2 - Application number: 17/838,664 - Filed: 2022-06-13 - Published: 2022-10-06 - Granted: 2024-06-04 - Earliest claimed: 2020-09-25 - Assignees: Verizon Patent and Licensing Inc. - Applicants: Verizon Patent and Licensing Inc. - Inventors: Wayne A. Chiselko; Donna L Polehn; Mark T. Watts - Web page: https://patentgrep.com/patent/US12004079B2 ## CPC - H04W 52/0203: {in the radio access network or backbone network of wireless communication networks} - H04W 24/02: Arrangements for optimising operational condition - 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 A power and environmental orchestration (P&EO) system uses network utilization condition information to implement scenarios that partially or fully reduce power requirements for radio access network (RAN) elements. A network device obtains power orchestration scenarios for a RAN and evaluates utilization data of multiple components of the RAN against the power orchestration scenarios. The network device determines that the utilization data meets a threshold for one of the power orchestration scenarios and applies the one of the power orchestration scenarios to reconfigure the RAN for reduced power consumption. ## Claims ### Claim 1 A method, comprising: generating, by a network device, a predictive utilization model for a radio access network (RAN), wherein the predictive model includes parameters of wireless stations that impact network power consumption; assigning, by the network device, to each of the parameters a weight factor indicative of potential power savings associated with the parameter; generating, by the network device, power orchestration scenarios based on the predictive utilization model and the weight factors, wherein the power orchestration scenarios identify combinations of sector carriers for the wireless stations that can support the predicted conditions with reduced energy consumption when one or more of the parameters meet one or more thresholds for the parameters; storing, by the network device, the power orchestration scenarios; determining, by the network device and based on real-time utilization data of the RAN, a time to implement one of the power orchestration scenarios; and reconfiguring, by the network device, the RAN at the time based on the one of the power orchestration scenarios. ### Claim 2 (depends on 1) The method of claim 1, further comprising: evaluating, by the network device, utilization data of multiple components of the RAN. ### Claim 3 (depends on 1) The method of claim 1, wherein one or more of the power orchestration scenarios are based on user patterns for a wireless station of the RAN. ### Claim 4 (depends on 1) The method of claim 1, wherein determining the time to implement one of the power orchestration scenarios, comprises: comparing a power utilization level of a wireless station to a power utilization threshold. ### Claim 5 (depends on 1) The method of claim 1, further comprising: verifying, by a self-organizing network (SON) function, that the one of the power orchestration scenarios is suitable for implementation. ### Claim 6 (depends on 1) The method of claim 1, further comprising: ingesting historical utilization data of multiple components of the RAN; and generating, based on the historical utilization data, the predictive utilization model for the RAN. ### Claim 7 (depends on 6) The method of claim 6, further comprising: ingesting real-time utilization data; and updating, based on historical utilization data and the real-time utilization data, the predictive utilization model. ### Claim 8 (depends on 7) The method of claim 7, wherein the real-time utilization data includes power supply data for a generator or back-up battery. ### Claim 9 (depends on 1) The method of claim 1, wherein the reconfiguring reduces an Effective Isotropic Radiated Power (EIRP) of a transmit antenna in the RAN. ### Claim 10 (depends on 1) The method of claim 1, wherein the network device is included within a virtualized controller platform in one of: an edge hub for the RAN; or a multi-access edge computing (MEC) network. ### Claim 11 A network device in an application service layer network, the network device comprising: a processor configured to: generate a predictive utilization model for a radio access network (RAN), wherein the predictive model includes parameters of wireless stations that impact network power consumption; assign to each of the parameters a weight factor indicative of potential power savings associated with the parameter; generate power orchestration scenarios based on the predictive utilization model and the weight factors, wherein the power orchestration scenarios identify combinations of sector carriers for the wireless stations that can support the predicted conditions with reduced energy consumption when one or more of the parameters meet one or more thresholds for the parameters; store the power orchestration scenarios; determine, based on real-time utilization data of the RAN, a time to implement one of the power orchestration scenarios; and initiate reconfiguring the RAN at the time based on the one of the power orchestration scenarios. ### Claim 12 (depends on 11) The network device of claim 11, wherein the processor is further configured to: evaluate utilization data of multiple components of the RAN. ### Claim 13 (depends on 11) The network device of claim 11, wherein one or more of the power orchestration scenarios are based on user patterns for a wireless station of the RAN. ### Claim 14 (depends on 11) The network device of claim 11, wherein, when determining the time to implement one of the power orchestration scenarios, the processor is further configured to: compare a power utilization level of a wireless station to a power utilization threshold. ### Claim 15 (depends on 11) The network device of claim 11, wherein the processor is further configured to: receive verification of the one of the power orchestration scenarios from a self-organizing network (SON) function. ### Claim 16 (depends on 11) The network device of claim 11, wherein the processor is further configured to: ingest historical utilization data of multiple components of the RAN; and generate, based on the historical utilization data, the predictive utilization model for the RAN. ### Claim 17 (depends on 11) The network device of claim 11, wherein the processor is further configured to: retrieve utilization data of multiple components of the RAN via a message bus in real-time. ### Claim 18 A non-transitory computer-readable storage medium storing instructions executable by a processor of a device, which when executed cause the device to: generate a predictive utilization model for a radio access network (RAN), wherein the predictive model includes parameters of wireless stations that impact network power consumption; assign to each of the parameters a weight factor indicative of potential power savings associated with the parameter; generate power orchestration scenarios based on the predictive utilization model and the weight factors, wherein the power orchestration scenarios identify combinations of sector carriers for the wireless stations that can support the predicted conditions with reduced energy consumption when one or more of the parameters meet one or more thresholds for the parameters; store the power orchestration scenarios; determine, based on real-time utilization data of the RAN, a time to implement one of the power orchestration scenarios; and initiate reconfiguring the RAN at the time based on the one of the power orchestration scenarios. ### Claim 19 (depends on 18) The non-transitory computer-readable storage medium of claim 18, further comprising instructions to: evaluate utilization data of multiple components of the RAN. ### Claim 20 (depends on 18) The non-transitory computer-readable storage medium of claim 18, further comprising instructions to: receive verification of the one of the power orchestration scenarios from a self-organizing network (SON) function.