MANAGING RESOURCES IN CBRS NETWORKS
    511.
    发明公开

    公开(公告)号:US20240056826A1

    公开(公告)日:2024-02-15

    申请号:US18486954

    申请日:2023-10-13

    Abstract: Systems, methods, and computer-readable media for improving resource management in Citizens Broadband Radio Service (CBRS) networks include a Spectrum Access System (SAS) in coordination with one or more CBRS devices (CBSDs) and a Digital Network Architecture center (DNA-C). Resource allocation decisions can be based on one or more policies such as a priority, a preemption capability index and/or a preemption vulnerability index associated with the CBSDs. Resource allocation can also be based on inter-access point (AP) coordination between two or more CBSDs and comparative performance indicators of the two or more CBSDs. Managing interference between two or more groups of CBSDs can be based on the inter-AP coordination and group identifiers associated with the two or more groups. Bandwidth allocation can be modified to the two or more CBSDs and seamless transition can be implemented using timers.

    DYNAMIC AGGREGATE ID BASED FLOW METRICS AGGREGATION

    公开(公告)号:US20240056384A1

    公开(公告)日:2024-02-15

    申请号:US18090264

    申请日:2022-12-28

    CPC classification number: H04L45/245 H04L45/38 H04L45/123

    Abstract: Techniques and architecture are described grouping various sources of traffic within a network into grouping fields and assigning each combination of grouping field values an aggregate identification (ID). A first hop edge router may receive a packet and search a mapping table for a corresponding aggregate ID for the combination of grouping field values within the mapping table. If not found, the first hop edge router may assign a corresponding aggregate ID for the combination of grouping field values and store the new aggregate ID for the combination of grouping field values in the mapping table. The first hop edge router may forward the packet on through the network with the aggregate ID embedded in metadata. Routers within the network may measure and aggregate flow metrics of the packet within the network based on the aggregate ID and provide the measurements to the network controller.

    ADAPTIVE HARQ SELECTION IN HIGH DENSITY ENVIRONMENTS

    公开(公告)号:US20240056226A1

    公开(公告)日:2024-02-15

    申请号:US17818419

    申请日:2022-08-09

    CPC classification number: H04L1/1812 H04L1/08 H04W16/28

    Abstract: A network of access points (AP) in a high-density environment may be provided. A number of packet transmission retries for one or more of the AP may be determined by setting a number, m, of retries for transmitting a data packet, where m is the upper limit of the number of retries. Data packets are then transmitted m times. Upon transmitting the data packet m times, a success probability SP(u,m) for transmission of the data packet, where u is the number of users, may be calculated. The transmission of the data packet may be repeated m−x times where x is an integer. Upon calculating the success probability for m−x times, a success probability SP(u,m−x) for transmission of the data packet may be calculated. If SP (u,m−x) is larger than SP(u,m) then x may be decreased by one and actions (b)-(f) may be repeated. If SP (u,m−x) is not larger than SP(u,m) then m−x may be set as the maximum number of retries for the data packet.

    DISTRIBUTED ARTIFICIAL INTELLIGENCE RUNTIME AT THE NETWORK EDGE AS A SERVICE

    公开(公告)号:US20240054318A1

    公开(公告)日:2024-02-15

    申请号:US17888379

    申请日:2022-08-15

    CPC classification number: G06N3/04 G06N3/10

    Abstract: This disclosure describes techniques and mechanisms for enabling a user and third party applications to dynamically partition and place heavy deep learning workloads on standard edge networks to optimize the overall inference throughput of the network while meeting Service Level Objective(s) (SLOs). The techniques may include profiling, partitioning, and splitting of the deep learning workloads, which may be hidden from the user and/or third party application. The user may user interact with a pre-deployed service through a simple SDK that resembles those used for hardware acceleration, such that the current techniques may be easily inserted into their code.

    Central scheduling for enterprise wireless randomizing changing/rotating MAC address

    公开(公告)号:US11902246B2

    公开(公告)日:2024-02-13

    申请号:US17731652

    申请日:2022-04-28

    CPC classification number: H04L61/5076 H04L61/5007 H04L61/5061

    Abstract: A method is provided that is performed for a wireless network that includes one or more wireless client devices that may rotate their media access control (MAC) address used for wireless communication with one or more wireless access point devices in the wireless network. The method includes determining an impact of MAC address rotation by the one or more wireless client devices on operational resources of one or more networking devices or networking processes in a network infrastructure associated with the wireless network. The method further includes scheduling MAC address rotation by the one or more wireless client devices according to the impact on operational resources of the one or more networking devices or networking processes in the network infrastructure.

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