Dynamic cellular network interference management

    公开(公告)号:US12278687B2

    公开(公告)日:2025-04-15

    申请号:US18652951

    申请日:2024-05-02

    Abstract: Various arrangements for performing dynamic resource blanking on a cellular network are presented herein. Based on orbital data for a satellite, a cellular network can determine user equipment (UE) conducting an active call using a particular frequency band at a base station. For each of the UE a handover can be performed of on-going calls to a different frequency band. Following completion of the handovers, use of the frequency band at the base station can be temporarily disabled.

    Automated border coordination for radiofrequency network sectors

    公开(公告)号:US12210110B2

    公开(公告)日:2025-01-28

    申请号:US18413367

    申请日:2024-01-16

    Abstract: Systems and methods are described for automated detection of border conflicts in physical radiofrequency (RF) communication network infrastructures. For example, proposed sector antennas in a greenfield physical network deployment may be licensed to radiate in certain spectrum blocks in the mapped licensed geographic regions (mLGR) where they are located, but the licenses may not permit radiated power in those spectrum blocks to cross into adjacent mLGRs. Embodiments compute radiation contours for the sector antennas indicating estimated local power levels computed based on antenna characteristics of the sector antennas and propagation model data that defines geographic morphologies for the mLGRs. The radiation contours are analyzed to detect any border conflict conditions where the estimated local power levels exceed defined threshold radiation levels in unlicensed regions. A culprit set of the sector antennas can be output to indicate those responsible for detected border conflict conditions.

    OPEN RADIO ACCESS NETWORK MAINTENANCE APPLICATIONS

    公开(公告)号:US20240430712A1

    公开(公告)日:2024-12-26

    申请号:US18213195

    申请日:2023-06-22

    Abstract: A disclosed method may include (i) building, based on telemetry data from an open radio access network, a machine learning model that predicts when a candidate distributed unit within the open radio access network will experience a failure, (ii) detect, by applying the machine learning model that predicts when the candidate distributed unit will shut down, that a specific distributed unit will experience a specific failure, and (iii) perform, in response to detecting that the specific distributed unit will experience the specific failure, a remedial action that addresses the specific failure. Related systems and computer-readable mediums are further disclosed.

    CARRIER AGGREGATION AND DUAL CONNECTIVITY SWITCHING IN A CELLULAR NETWORK

    公开(公告)号:US20240349136A1

    公开(公告)日:2024-10-17

    申请号:US18217957

    申请日:2023-07-03

    CPC classification number: H04W36/0069 H04W36/0058 H04W36/08 H04W76/15

    Abstract: Embodiments are directed towards systems and methods for carrier aggregation and dual connectivity switching in a cellular network (e.g., a 5G network). Example embodiments include systems and methods for: the RAN functions supporting providing measuring and reporting particular items for dynamic carrier aggregation and dual connectivity switching; RAN dynamic carrier aggregation and dual connectivity switching with a network intelligence layer; RAN dynamic carrier aggregation and dual connectivity switching without a network intelligence layer; RAN dynamic carrier aggregation and dual connectivity switching based on availability of an inter-DU link and meeting latency/bandwidth criteria; RAN dynamic carrier aggregation and dual connectivity switching based on availability of an inter-DU link and meeting resource criteria; and prioritization for using CA instead of DC based on CQI information reported from UEs.

    ADAPTIVE DISTRIBUTED UNIT (DU) SCHEDULER
    15.
    发明公开

    公开(公告)号:US20240334423A1

    公开(公告)日:2024-10-03

    申请号:US18229125

    申请日:2023-08-01

    CPC classification number: H04W72/1263 H04W72/566

    Abstract: Embodiments are directed towards an adaptive DU scheduler that increases the user experiences on higher channel bandwidths (BWs) while ensuring no drops for Voice over New Radio (VoNR) or other high priority traffic. Example embodiments include systems and methods for an adaptive distributed unit (DU) scheduler in a wireless telecommunication network, such as a wireless 5G network. Example embodiments include systems and methods that include: a central scheduler for maximizing overall throughput based on received parameter values; maximizing the overall cell site throughput; an intelligence layer that has an artificial intelligence and/or machine learning (AI/ML) model that increases the performance for all the cells by sending info to central scheduler for each of the cells; an intelligence layer that has an AI/ML models for each site type based on the traffic distribution across each cell; centralized RAN pooling; a containerized DU server with master a controller pod controlling individual cell pods; and a containerized DU server with a DU common scheduler managing all the cells.

    ADAPTIVE RESOURCE ALLOCATION FOR A WIRELESS TELECOMMUNICATION NETWORK FRONTHAUL LINK

    公开(公告)号:US20240114398A1

    公开(公告)日:2024-04-04

    申请号:US18094283

    申请日:2023-01-06

    CPC classification number: H04W28/20 H04L1/0003 H04W28/0284

    Abstract: In response to detection that a capacity of the fronthaul link has been or will be exceeded, a software intelligence layer operating on a transport layer router that aggregates network traffic from the one or more radio units (RUs) causes a change in how in-phase and quadrature (IQ) data packets sent on the fronthaul link are handled to reduce use of the capacity of the fronthaul link. In another example embodiment, a software intelligence layer operating at an application layer of the wireless telecommunication network may perform one or more actions utilizing access to scheduler level information for the distributed units (DUs) to avoid the fronthaul link exceeding the capacity limit based on incoming IQ samples to a router that aggregates network traffic from one or more corresponding RUs.

    OPEN RADIO ACCESS NETWORK MAINTENANCE APPLICATIONS

    公开(公告)号:US20240430702A1

    公开(公告)日:2024-12-26

    申请号:US18213207

    申请日:2023-06-22

    Abstract: A disclosed method may include (i) building, based on telemetry data from an open radio access network, a machine learning model that predicts when a candidate distributed unit within the open radio access network will experience a failure, (ii) detect, by applying the machine learning model that predicts when the candidate distributed unit will shut down, that a specific distributed unit will experience a specific failure, and (iii) perform, in response to detecting that the specific distributed unit will experience the specific failure, a remedial action that addresses the specific failure. Related systems and computer-readable mediums are further disclosed.

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