# US 2025/0097771 A1 · Radio access network adjustment > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2025/0097771 A1 - Document ID: US20250097771A1 - Status: Published application - Kind: A1 - Application number: 18/736,489 - Filed: 2024-06-06 - Published: 2025-03-20 - Earliest claimed: 2023-09-18 - Assignees: Fujitsu Limited - Applicants: Fujitsu Limited - Inventors: Solyman ASHRAFI; Hisayuki MORISHIMA; Toru SEKINO; Olufemi ADEYEMI - Web page: https://patentgrep.com/patent/US20250097771A1 ## CPC - H04W 24/02: Arrangements for optimising operational condition - H04W 28/0864: {of different hierarchy levels, e.g. Master Evolved Node B [MeNB] or Secondary Evolved node B [SeNB]} - H04L 41/0816: the condition being an adaptation, e.g. in response to network events - H04L 41/5025: by proactively reacting to service quality change, e.g. by reconfiguration after service quality degradation or upgrade - H04W 28/0236: {radio quality, e.g. interference, losses or delay} - G06N 10/00: Quantum computing, i.e. information processing based on quantum-mechanical phenomena - H04L 41/40: using virtualisation of network functions or resources, e.g. SDN or NFV entities - H04W 88/085: {Access point devices with remote components} - H04W 88/12: Access point controller devices - H04W: WIRELESS COMMUNICATION NETWORKS (broadcast communication H04H; communication systems using wireless links for non-selective communication, e.g. wireless extensions H04M1/72) - H04L: TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION (arrangements common to telegraphic and telephonic communication H04M) - G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS ## Abstract A method may include a near-real-time radio access network intelligent controller receiving, from a distributed unit of a radio access network, current values of network parameters of the radio access network, the radio access network established using at least one radio access network device. The method may include the near-real-time radio access network intelligent controller obtaining adjustments to one or more of the current values of the network parameters. The method may also include directing the adjustments to the distributed unit for implementation in near-real-time in the radio access network. ## Claims ### Claim 1 A method comprising: receiving, at a near-real-time radio access network intelligent controller from a distributed unit of a radio access network, current values of a plurality of network parameters of the radio access network, the radio access network established using at least one radio access network device; obtaining, at the near-real-time radio access network intelligent controller, adjustments to one or more of the current values of the plurality of network parameters; and directing the adjustments to the distributed unit for implementation in near-real-time in the radio access network. ### Claim 2 (depends on 1) The method of claim 1, wherein the adjustments to the one or more of the current values of the plurality of network parameters are based on a measurement of wireless network performance comprising one or more of: data, time, frequency, area, energy, computing performance capability, and cost. ### Claim 3 (depends on 2) The method of claim 2, wherein the measurement of wireless network performance is expressed in units of bit/s/Hz/m2/J/FLOPS/$, wherein: bit is a measurement of units of the data transmitted by the radio access network in binary digits, s is a measurement of the time the radio access network takes to transmit the data in seconds, Hz is a measurement of frequency used by the radio access network to transmit the data in hertz, m2 is a measurement of area served by the radio access network in meters squared, J is a measurement of energy consumed by the radio access network to transmit the data in joules, FLOPS is a measurement of computing performance capability of the radio access network to perform baseband processing in floating-point operations per second, and $ is a measurement of cost of one or more of using the radio access network and providing the radio access network in a currency. ### Claim 4 (depends on 1) The method of claim 1, wherein the plurality of network parameters includes at least one or more of uplink power control, uplink scheduling, uplink resource allocation, uplink interference mitigation, uplink quality of experience, uplink performance spectral efficiency, energy consumption, and processing efficiency. ### Claim 5 (depends on 1) The method of claim 1, further comprising: after receiving the current values, sending the current values of the plurality of network parameters from the near-real-time radio access network intelligent controller to a cloud-based computing system. ### Claim 6 (depends on 5) The method of claim 5, wherein the cloud-based computing system is configured to generate the adjustments using one or more of: quantum annealing and simulated annealing. ### Claim 7 (depends on 1) The method of claim 1, wherein the current values of the plurality of network parameters include one or more values obtained from a non-real-time radio access network intelligent controller. ### Claim 8 A system comprising: a near-real-time radio access network intelligent controller configured to: receive from a distributed unit of a radio access network, current values of a plurality of network parameters of the radio access network, the radio access network established by at least one radio access network device; obtain adjustments to one or more of the current values of the plurality of network parameters; and direct the adjustments to the distributed unit for implementation in near-real-time in the radio access network. ### Claim 9 (depends on 8) The system of claim 8, wherein the plurality of network parameters includes at least one or more of uplink power control, uplink scheduling, uplink resource allocation, uplink interference mitigation, uplink quality of experience, uplink performance spectral efficiency, energy consumption, and processing efficiency. ### Claim 10 (depends on 8) The system of claim 8, wherein the near-real-time radio access network intelligent controller is configured to operate on an application layer of the radio access network. ### Claim 11 (depends on 8) The system of claim 8, wherein the adjustments improve overall performance of the radio access network. ### Claim 12 (depends on 8) The system of claim 8, wherein the near-real-time radio access network intelligent controller is further configured to send the current values of the plurality of network parameters to a cloud-based computing system. ### Claim 13 (depends on 12) The system of claim 12, wherein the cloud-based computing system is configured to generate the adjustments using one or more of: quantum annealing and simulated annealing. ### Claim 14 (depends on 8) The system of claim 8, wherein the current values of the plurality of network parameters include one or more values from a non-real-time radio access network intelligent controller. ### Claim 15 One or more non-transitory computer-readable media storing instructions that, when executed by one or more processors, cause a system to perform operations, the operations comprising: receiving, at a near-real-time radio access network intelligent controller from a distributed unit of a radio access network, current values of a plurality of network parameters of the radio access network, the radio access network established using at least one radio access network device from a distributed unit of the radio access network; obtaining, at the near-real-time radio access network intelligent controller, adjustments to one or more of the current values of the plurality of network parameters; and directing the adjustments to the distributed unit for implementation in near-real-time in the radio access network. ### Claim 16 (depends on 15) The one or more non-transitory computer-readable media of claim 15, wherein the plurality of network parameters includes at least one or more of uplink power control, uplink scheduling, uplink resource allocation, uplink interference mitigation, uplink quality of experience, uplink performance spectral efficiency, energy consumption, and processing efficiency. ### Claim 17 (depends on 15) The one or more non-transitory computer-readable media of claim 15, wherein the adjustments improve overall performance of the radio access network. ### Claim 18 (depends on 15) The one or more non-transitory computer-readable media of claim 15, further comprising: after receiving the current values, sending the current values of the plurality of network parameters from the near-real-time radio access network intelligent controller to a cloud-based computing system. ### Claim 19 (depends on 18) The one or more non-transitory computer-readable media of claim 18, wherein the cloud-based computing system is configured to generate the adjustments using one or more of: quantum annealing and simulated annealing. ### Claim 20 (depends on 15) The one or more non-transitory computer-readable media of claim 15, wherein the current values of the plurality of network parameters include one or more values from a non-real-time radio access network intelligent controller.