METHODS AND SYSTEM FOR SECURING A SDN CONTROLLER FROM DENIAL OF SERVICE ATTACK

    公开(公告)号:US20220141118A1

    公开(公告)日:2022-05-05

    申请号:US17513123

    申请日:2021-10-28

    Abstract: A Method and a system for securing a SDN controller from denial of service attack are provided. A SDN controller receives, from a networking device, data packets pertaining to a flow in Packet_IN messages, if the flow does not match flow entries in a first flow table of the networking device. A table miss flow entry pertaining to the flow is created in a second flow table of the networking device for sending the Packet_IN. The SDN controller installs a flood prevention flow entry in the second flow table to enable the networking device to drop subsequent data packets pertaining to the flow until the SDN controller installs, in the first flow table, a flow entry matching the flow. The flood prevention flow entry is deleted from the second flow table after the installation of the flow entry matching the flow.

    METHOD AND BASE STATION FOR RESOURCE ALLOCATION FOR MOBILITY MANAGEMENT OF USER EQUIPMENT

    公开(公告)号:US20230319805A1

    公开(公告)日:2023-10-05

    申请号:US18208085

    申请日:2023-06-09

    CPC classification number: H04W72/0453 H04W72/542 G06N3/08

    Abstract: In a method of resource allocation for mobility management of a user equipment (UE) in a wireless network, a base station (BS) in the wireless network receives a plurality of mobility parameters of the UE, provides a service on an active BWP of a plurality of BWPs to the UE, detects a change in at least one mobility parameter from the plurality of mobility parameters, determines whether a change in the at least one mobility parameter meets a QoS/QCI criterion, and varies the resource allocation for the BWP, in response to detecting that the change in the at least one mobility parameter meets the QoS/QCI criterion. The BS may vary the allocation by triggering a switch from the active BWP to an optimal BWP selected from passive BWPs, by changing a current subcarrier spacing (SCS) of the active BWP to a selected optimal SCS, or by updating the passive BWPs.

    METHOD FOR USER EQUIPMENT INITIATED NETWORK SLICE REGISTRATION AND TRAFFIC FORWARDING IN TELECOMMUNICATION NETWORKS

    公开(公告)号:US20210120484A1

    公开(公告)日:2021-04-22

    申请号:US17073131

    申请日:2020-10-16

    Abstract: The present disclosure relates to method and system for user equipment (UE)-initiated network slice registration and traffic forwarding in telecommunication networks. In an embodiment, for network slice registration, UE transmits a registration request to an AMF via a base station of telecommunication network. In response to the registration request, the AMF transmits a registration accept response comprising network slice selection assistance information (NSSAI) to the UE. For traffic forwarding, the UE transmits a PDU session establishment request comprising single NSSAI to the telecommunication network. The base station of the telecommunication network maps the single NSSAI to a Flow Label field of IPv6 header and transmits to DPAF via specific SLF of the telecommunication network. DPAF compares QoS transport characteristics of the single NSSAI with QoS transport characteristics of the NSSAI in the DPAF of the telecommunication network and transmits a PDU session establishment response to the UE based on comparison.

    METHOD AND APPARATUS FOR ENABLING OPTIMIZED DECODING OF DATA PACKET IN HARQ BASED COMMUNICATION

    公开(公告)号:US20240031074A1

    公开(公告)日:2024-01-25

    申请号:US17754892

    申请日:2020-10-15

    CPC classification number: H04L1/1819

    Abstract: The present disclosure relates to a pre-5th-Generation (5G) or 5G communication system to be provided for supporting higher data rates Beyond 4th-Generation (4G) communication system such as Long Term Evolution (LTE).
    Embodiments of present disclosure relates to apparatus and method for enabling optimized decoding of data packet in HARQ based communication in wireless communication network. Initially, unsuccessful decoding of instant data packet received from transmitting unit is identified. If number of previous data packets, received preceding the instant data packet, is greater than one, subsequent decoding is enabled in the receiving unit for the instant data packet. The subsequent decoding includes generating sequentially, modified versions of data packets, for decoding. The modified versions comprises all possible weighted combinations of the data packets with at least one of the instant data packet and one or more of the previous data packets. Each of the modified versions is decoded individually and a subsequent modified version from the modified versions is generated when unsuccessful decoding is identified for previously generated modified version from the modified versions.

    METHODS AND SYSTEMS FOR REDUCING FRONTHAUL BANDWIDTH IN A WIRELESS COMMUNICATION SYSTEM

    公开(公告)号:US20230143476A1

    公开(公告)日:2023-05-11

    申请号:US17912728

    申请日:2021-03-16

    CPC classification number: H04W28/065 H04W92/10

    Abstract: The present disclosure relates to a pre-5th-Generation (5G) or 5G communication system to be provided for supporting higher data rates Beyond 4th-Generation (4G) communication system such as Long Term Evolution (LTE). The present disclosure provides methods and systems for reducing fronthaul bandwidth. Embodiments herein relate to the field of wireless networks and more particularly to reducing fronthaul bandwidth during a transfer of data between at least one radio node and at least one centralized node in a wireless network. A method disclosed herein includes determining parameters specific to at least one User Equipment (UE) using a machine learning method. The method further includes transferring data between the at least one radio node and the at least one centralized node over a fronthaul link by compressing the data using the parameters that are determined using the machine learning method. The method further includes decompressing, by at least one of the at least one radio node and the at least one centralized node, the compressed data using the parameters that are determined using the machine learning method.

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