Samsung Electronics Co., Ltd.

Korea University Research and Business Foundation

Seongkyu Song

Jaewook Lee

Jungsoo Jung

Karthikeyan Arunachalam

Joonwoo Kim

Sangheon Pack

Jamsheed Manja Ppallan

Sweta Jaiswal

Taeyun Kim

Shiva Souhith Gantha

Anshuman Nigam

Aneesh Deshmukh

Dongseop Lee

Minkyong Kim

Rami Jung

Youbin Jeon

The disclosure provides a method of Channel Quality Assisted (CQA) transport by a Transmission Control Protocol (TCP) receiver in a wireless network. The method includes: monitoring quality of a wireless channel based on at least one of signal quality parameters and wireless channel events; detecting a fluctuation in the quality of the wireless channel; and sending an indication of the fluctuation in the quality of the wireless channel to a TCP transmitter configured to adjust at least one parameter of a transport layer based on the fluctuation in the quality of the wireless channel.

Method and system for channel quality assisted transport in wireless network

A method and an apparatus are provided for managing quality of service (QoS) in a communication network. A plurality of data flows related to at least one application associated with a user equipment (UE) is received. At least one data flow that requires QoS management related to the at least one application is identified from the plurality of data flows based on an analysis of at least one of a plurality of attributes related to the at least one application. The at least one data flow is classified into a QoS class associated with the at least one application. The at least one data flow is prioritized based on the QoS class.

Method and system for managing quality-of-service (QOS) in communication networks

A method, performed by an electronic device, of placing a micro network function, includes: determining at least one micro network function used for a service; predicting control signaling overhead of at least one cell including at least one cell edge cloud, based on a history of control signaling overhead of the at least one cell; and placing the at least one micro network function in the at least one cell edge cloud, based on the predicted control signaling overhead of the at least one cell.

Method and electronic device for placing micro network function

A communication method and an apparatus in a wireless communication system are provided. The communication method includes identifying, by a first satellite including a session management function within a space core network (SCN), a protocol data unit (PDU) session establishment request from a UE, selecting, by the first satellite, a satellite gateway for communicating with a ground gateway, and requesting, by the first satellite, the satellite gateway to allocate a port number which is matched to identification information of a first general packet radio service (GPRS) tunneling protocol-user (GTP-U) tunnel to be used for transmission and reception of packets for a PDU session requested by the UE in a path between a satellite base station which the UE accesses and the satellite gateway, wherein the packets are transmitted or received to and from a terrestrial core network (TCN) by using address information which is converted based on the port number.

Communication method and apparatus in wireless communication system using satellite

An electronic apparatus and a control method are provided. The electronic apparatus includes a transceiver, a memory configured to store an artificial intelligence (AI) model, and a processor configured to control the transceiver to receive environment information from at least one of a plurality of devices that are connected to the electronic apparatus, determine that a predicted device of the plurality of devices will lose a network connection based on the first AI model and the environment information, and in response to determining the predicted device will lose the network connection, maintain the network connection of the predicted device through another device of the plurality of devices. The electronic apparatus may use a rule-based model or an AI model trained by using at least one of a machine learning algorithm, a neural network algorithm, or a deep-learning algorithm.

Electronic apparatus for managing network connection and control method thereof

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Suwon-si, South Korea

Seongkyu Song