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公开(公告)号:US20220141118A1
公开(公告)日:2022-05-05
申请号:US17513123
申请日:2021-10-28
Applicant: Samsung Electronics Co., Ltd.
Inventor: Pankaj Bhimrao THORAT , Vivek SONI , Satya Kumar VANKAYALA , Rajesh CHALLA
IPC: H04L43/16 , H04L47/2483
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.
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公开(公告)号:US20210168841A1
公开(公告)日:2021-06-03
申请号:US17111383
申请日:2020-12-03
Applicant: Samsung Electronics Co., Ltd.
Inventor: Satya Kumar VANKAYALA , Akhil SHUKLA , Pankaj Bhimrao THORAT , Satya Venkata Uma Kishore GODAVARTI , Tummala SESHU , Vishal Devinder KARIRA
Abstract: The present disclosure discloses methods and systems for efficiently allocating grants for resource allocation based on BSR index. The method includes receiving by a Base-Station (BS) a Buffer Status Report (BSR) index value from a User Equipment (UE) along with buffer size corresponding to an Uplink (UL) data transmission request. Upon determining the buffer size corresponding to the received BSR index value to be greater than a predefined threshold value, resources to the UE is allocated corresponding to a maximum buffer size of (BSR index-n). Upon receiving UL data from the UE based on the allocated resources, resources to the UE are allocated subsequently using a predefined allocation mechanism until one of, detection of padding bits in the received UL data and on detecting maximum allocation of predefined number of allocation.
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3.
公开(公告)号:US20230319805A1
公开(公告)日:2023-10-05
申请号:US18208085
申请日:2023-06-09
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Satya Kumar VANKAYALA , Venkateswarlu YARRAMALA , Seungil YOON
IPC: H04W72/0453 , H04W72/542 , G06N3/08
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.
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公开(公告)号:US20230164756A1
公开(公告)日:2023-05-25
申请号:US18094040
申请日:2023-01-06
Applicant: SAMSUNG ELECTRONICS CO, LTD.
Inventor: Satya Kumar VANKAYALA , Mohit AGARWAL , Ritik Prasad MATHUR , Narasimmam SUBBURAYALU , Seungil YOON , Junhyuk SONG
IPC: H04W72/0453 , H04W72/121 , H04W72/12
CPC classification number: H04W72/0453 , H04W72/121 , H04W72/1215
Abstract: Embodiments herein provide a system for Open Radio access network (RAN)-Citizens Broadband Radio Service (CBRS) interworking in a wireless network. The system includes a RAN including at least one Radio Unit (RU) and a RAN intelligence Controller (RIC), at least one Distributed Unit (DU) in communication with the at least one RU, and at least one CBRS-RU provided within the RAN and in communication with the at least one DU. The at least one CBRS-RU communicates with the at least one DU using a standard model to standardise structure of data shared between the at least one CBRS-RU and the at least one DU.
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5.
公开(公告)号:US20220278769A1
公开(公告)日:2022-09-01
申请号:US17747485
申请日:2022-05-18
Applicant: Samsung Electronics Co., Ltd.
Inventor: Satya Kumar VANKAYALA , Seungil YOON , Issaac KOMMINENI , Venkateswarlu YARRAMALA
Abstract: A method for decoding user data by an apparatus in a wireless network is provided. The method includes receiving, by the apparatus, user data associated with a plurality of network parameters. The method includes training, by the apparatus, a neural network using the plurality of received network parameters. Further, the method includes computing, by the apparatus, a Log Likelihood Ratio (LLR) using the trained neural network. Further, the method includes decoding, by the apparatus, the received user data using the computed LLR.
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公开(公告)号:US20210120484A1
公开(公告)日:2021-04-22
申请号:US17073131
申请日:2020-10-16
Applicant: Samsung Electronics Co., Ltd.
Inventor: Pankaj Bhimrao THORAT , Rajesh CHALLA , Satya Kumar VANKAYALA , Vivek SONI
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.
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7.
公开(公告)号:US20240031074A1
公开(公告)日:2024-01-25
申请号:US17754892
申请日:2020-10-15
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Satya Kumar VANKAYALA , Abhay Kumar SAH , Anshuman NIGAM , Satya Venkata Uma Kishore GODAVARTI , Tirthankar MITTRA
IPC: H04L1/1812
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.-
8.
公开(公告)号:US20230143476A1
公开(公告)日:2023-05-11
申请号:US17912728
申请日:2021-03-16
Applicant: Samsung Electronics Co., Ltd.
IPC: H04W28/06
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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公开(公告)号:US20220417971A1
公开(公告)日:2022-12-29
申请号:US17896659
申请日:2022-08-26
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Satya Kumar VANKAYALA , Venkateswarlu YARRAMALA , Seungil YOON
Abstract: Provided is a method of operating a user equipment (UE) in a wireless network for managing physical downlink control channel (PDCCH) data. The method includes: obtaining a plurality of network parameters, predicting at least one aggregation level (AL) used by a base station (BS) associated with the UE to transmit the PDCCH data in the wireless network based on the plurality of received network parameters, and decoding the PDCCH data based on the at least one predicted AL.
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公开(公告)号:US20220294471A1
公开(公告)日:2022-09-15
申请号:US17748650
申请日:2022-05-19
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Anusha GUNTURU , Ashok Kumar Reddy CHAVVA , Avani AGRAWAL , Saikrishna PEDAMALLI , Satya Kumar VANKAYALA , Anshuman NIGAM , Mohan Rao NAGA SANTHA GOLI
Abstract: Embodiments herein provide a method for predicting iterations for decoding an encoded data at an electronic device. The method includes: receiving, by the electronic device, the encoded data; detecting, by the electronic device, signal parameters associated with the encoded data; predicting, by the electronic device, one of a cyclic redundancy check (CRC) failure, CRC success, and a CRC uncertainty in iterations for decoding the encoded data based on the signal parameters using a Neural Network (NN) model.
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