AI-DRIVEN INTELLIGENT RADIO CONTROLLER
    1.
    发明申请

    公开(公告)号:WO2023030694A1

    公开(公告)日:2023-03-09

    申请号:PCT/EP2022/052482

    申请日:2022-02-02

    Abstract: The present invention relates to a computer-implemented method of resource allocation for multiple virtual distributed units, vDUs (720), deployed in a shared radio computing platform (710), wherein the vDUs (720) share the same Radio Unit, RU (730), having a fixed number of Physical Resource Blocks, PRBs. With respect to an efficient utilization of both radio resources and available CPU resources the method comprises obtaining, by a radio controller, at set of metrics from the radio computing platform (710) for each of the vDUs (720) deployed; learning, by a learning agent (740) of the radio controller based on the obtained set of metrics, the traffic patterns and the CPU consumption of the vDUs (720) deployed; and computing jointly, by the radio controller based on the learned traffic patterns and the CPU consumption of the vDUs (720), a PRB assignment and CPU set configuration for each vDU (720).

    CPU-AWARE INTELLIGENT RADIO CONTROLLER
    2.
    发明申请

    公开(公告)号:WO2023030695A1

    公开(公告)日:2023-03-09

    申请号:PCT/EP2022/052492

    申请日:2022-02-02

    Abstract: The present invention relates to a computer-implemented method of resource allocation for multiple virtualized base stations, vBSs (420), deployed in a shared radio computing platform (410), wherein the vBSs (420) share the same Radio Unit, RU (430), having a fixed number of Physical Resource Blocks, PRBs. With respect to an efficient utilization of both radio resources and available computing resources, the method comprises obtaining, by a radio controller, a set of metrics from the radio computing platform (410) for each of the vBSs (420) deployed; learning, by a learning agent (450) of the radio controller based on the obtained set of metrics, the traffic patterns and the CPU consumption of the vBSs (720) deployed; and computing, by the radio controller based on the knowledge of current CPU set configurations of the vBSs (420) and based on the learned traffic patterns and the CPU consumption of the vBSs (420), a CPU set configuration, L3 cache allocation and PRB assignment for each vBS (420) in such a way that at least one of the overall CPU overhead, the decoding time and SLA violations are minimized.

    MULTI-ACCESS EDGE COMPUTING, MEC, SYSTEM AND METHOD FOR OPERATING THE SAME

    公开(公告)号:WO2019242856A1

    公开(公告)日:2019-12-26

    申请号:PCT/EP2018/066481

    申请日:2018-06-20

    Abstract: A method for operating a multi-access edge computing, MEC, system in which a physical infrastructure provider provides a physical infrastructure (202) and in which MEC providers are enabled to become tenants of the physical infrastructure provider by getting allocated network, computing and/or storage resources of the physical infrastructure (202) to obtain their own MEC slices, wherein each of the MEC providers deploys its respective MEC slice to install and run distinct tenant MEC stacks (204, 204'), wherein each tenant MEC stack (204, 204') includes a MEC platform (208, 208') for installation of the respective tenant's MEC applications and/or services. The method includes establishing, among two or more of the MEC providers, an agreement that defines mutual access policies between the respective MEC providers of the agreement, wherein the access policies specify which MEC platforms (208, 208') and which of the MEC applications and/or services running on these MEC platforms (208, 208') are allowed to be exposed among each other and/or to other tenants. Further, the method includes provisioning the MEC platforms (208, 208') with appropriate configurations in accordance with the access policies of the agreement, and executing a discovery process for discovering a MEC platform (208', 208) within the MEC stack (204', 204) of another tenant and establishing a communication link with said other tenant's MEC platform (208', 208).

    MULTI-CONNECTIVITY SCHEDULER FOR A MULTI-RAT SYSTEM

    公开(公告)号:WO2018178100A1

    公开(公告)日:2018-10-04

    申请号:PCT/EP2018/057818

    申请日:2018-03-27

    Abstract: A practical multi-connectivity scheduler for OFDMA-based multi-RAT heterogeneous systems that is general enough to function optimally in a variety of uplink and downlink scenarios, while minimizing energy consumption. An incoming queue where data destined to a respective mobile terminal is buffered, is created for each of a plurality of mobile terminals. The scheduler is configured to execute, based on queue information and system constraint information, a resource scheduling algorithm that jointly decides on the allocation of PRBs, Physical Resource Blocks, to each of the links between a RAT and a mobile terminal, on the assignment of modulation levels to each of the allocated PRBs, and on the activation/deactivation of each RAT.

    METHOD AND SYSTEM FOR DYNAMIC EVENT IDENTIFICATION AND DISSEMINATION

    公开(公告)号:WO2020244787A1

    公开(公告)日:2020-12-10

    申请号:PCT/EP2019/071982

    申请日:2019-08-15

    Abstract: A method is disclosed for real-time and dynamic event-related information derivation and dissemination by a road infrastructure to control, coordinate and consolidate information from at least one observation entity (10), the observation entity (10) being preferably an independent vehicle (1), a mobile device or the like. The method comprises receiving, by a road infrastructure server of the road infrastructure, event information from one or multiple observation entities (10), wherein each of the observation entities (10) provides its event information as an event information frame that comprises an event data record including a number of attributes together with a unique identifier referencing the event data record, collecting and analyzing the event information frames received from the observation entities (10) and processing them to generate a combined event information frame that includes composite event information, a unique identifier referencing the composite event information, and control commands to coordinate the communication with the observation entities (10), and distributing the combined event information frame within a distribution domain. Furthermore, a road vehicle onboard system is described.

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