Samsung Electronics Co., Ltd.

Taeseop Lee

Sangho Lee

Xue Liu

Xi Chen

Di Wu

Yi Tian Xu

Intaik Park

Wonsuk Chung

Gregory Lewis Dudek

Minsuk Choi

Taejeoung Kim

Suyoung Park

Seowoo Jang

Jikun Kang

Juhwan Song

Jihwan Kim

Hyejeong Kim

Hang Li

Jiyoung Cha

Junsuk Kim

Michael Jenkin

Ju Wang

Seungri Jin

Sangyeob Jung

Jookwan Lee

Soomin Lee

Sunmin Hwang

Kyungrae Kim

Hongju Park

Taelee Lee

Jongmin Baik

Hong Jung Kim

Dmitriy Rivkin

Haksung Kim

Hyerim Lee

Jimmy Li

The disclosure relates to a fifth generation (5G) or sixth generation (6G) communication system for supporting a higher data transmission rate. A method and an apparatus for reporting user equipment (UE) assistance information related to overheating and power-saving are provided.

Method and apparatus for reporting terminal assistance information associated with overheating and power saving mode operation in next generation wireless communication system

Disclosed is a method, performed by an electronic device, of controlling a plurality of cells for providing radio resources to a plurality of user equipments (UEs), including: obtaining information about a load of each of a plurality of cells, calculating a total load of the plurality of cells based on the obtained information, changing a state of at least one cell from among the plurality of cells from an active state to an inactive state or from an inactive state to an active state based on the calculated total load, and controlling the plurality of cells so that a plurality of UEs are connected to active cells from among the plurality of cells in response to the change in the state of the at least one cell.

Method of controlling plurality of cells for providing radio resources to plurality of user equipments, and electronic device for performing the method

Rapid and data-efficient training of an artificial intelligence (AI) algorithm are disclosed. Ground truth data are not available and a policy must be learned based on limited interactions with a system. A policy bank is used to explore different policies on a target system with shallow probing. A target policy is chosen by comparing a good policy from the shallow probing with a base target policy which has evolved over other learning experiences. The target policy then interacts with the target system and a replay buffer is built up. The base target policy is then updated using gradients found with respect to the transition experience stored in the replay buffer. The base target policy is quickly learned and is robust for application to new, unseen, systems.

Load balancing using data-efficient learning

Provided is a data transmission method including obtaining, from a core network (CN), at least one packet to be transmitted to a user equipment via a first cell group or a second cell group, determining a packet to be transmitted via the second cell group, among the at least one packet, transmitting the determined packet to the user equipment via the second cell group, obtaining packet delivery state information of the first cell group and packet delivery state information of the second cell group, determining whether to retransmit the transmitted packet based on the packet delivery state information of the first cell group and the packet delivery state information of the second cell group, and retransmitting the packet determined to be retransmitted to the user equipment via the first cell group.

Method and apparatus for retransmitting packets in dual connectivity network

Transfer learning based on prediction determines a similarity between a source base station and a target base station. Importance of parameters is determined and training is adjusted to respect the importance of parameters. A lack of historical data is compensated by selecting a base station as source base station which has a larger amount of historical data.

Transfer learning of network traffic prediction model among cellular base stations

A method, performed by an electronic device, of controlling a state control parameter for adjusting a state of a network of a base station, using any one of a plurality of models, includes: obtaining information related to the state of the network from the base station, performing simulation on each of the plurality of models based on the obtained information related to the state of the network, selecting any one model from among the plurality of models based on a result of the performed simulation, and transmitting a value of the state control parameter, calculated using the selected any one model, to the base station to update the state control parameter.

Method of controlling state control parameter for adjusting state of network of base station by using any one of plurality of models and electronic device performing the method

Various embodiments of the present invention relate to a signal measurement method for adding a secondary node in an electronic device and the electronic device thereof, and the electronic device may include a first communication circuit configured to provide first wireless communication using a first frequency range, a second communication circuit configured to provide second wireless communication using a second frequency range, a processor operatively connected with the first communication circuit and the second communication circuit, and a memory operatively connected with the processor, and configured to store at least one first measurement configuration information, and the memory may store instructions for, when executed, causing the processor to, using the first communication circuit, perform communication connection with a master node (MN) base station operating as an MN, while performing the communication connection with the MN base station, measure a state of a signal from at least one base station for operating as a secondary node (SN) using the at least one first measurement configuration information, using the second communication circuit, and transmit a first message including at least part of the measurement result, to the MN base station.

Signal measurement method for adding secondary node in dual connectivity environment and electronic device of same

Disclosed according to various embodiments is an electronic device comprising: a first communication circuit configured to provide first wireless communication within a first frequency range; a second communication circuit configured to provide second wireless communication within a second frequency range; a processor operably connected to the first communication circuit and the second communication circuit; and a memory operably connected to the processor, wherein the memory has instructions stored therein which cause, when executed, the processor to: establish a channel for communication with a first base station, by using the first communication circuit; receive, from the first base station, a first message containing information about at least one frequency at which to assess a communication status by using the second communication circuit; assess statuses for communication with one or more second base stations, by using the second communication circuit on the basis of the first message; transmit a second message concerning the one or more second base stations to the first base station on the basis of results obtained by the assessment; receive, from the first base station, a third message containing information about a selected second base station and timer information on the basis of the second message; start a timer on the basis of the timer information and then, by using the second communication circuit, assess a status for communication with the selected second base station on the basis of a signal received from the selected second base station; and transmit a fourth message containing information about the selected second base station to the first base station before the end of the timer on the basis of results obtained by the assessment. Various other embodiments found through the specification are also possible.

Electronic device supporting addition of secondary node, and method therefor

To perform a first communication with a first base station through the first communication circuit by using a first frequency band, perform a second communication with a second base station through the second communication circuit by using a second frequency band, determine whether the first communication interferes with the second communication, and transmit, to the second base station for the second communication on the basis of the determination result, a request for using a third frequency band, which is different from the second frequency band in at least one from among bandwidth, center frequency, or sub-carrier spacing (SCS). Other various embodiments are possible.

Electronic device, and method for reducing self-interference due to dual uplink operation

Hybrid use of dual policies is provided to improve a communication system. In a multiple access scenario, when an inactive user equipment (UE) transitions to an active state, it may be become a burden to a radio cell on which it was previously camping. In some embodiments, hybrid load balancing is provided using a hierarchical machine learning paradigm based on reinforcement learning in which an LSTM generates a goal for one policy influencing cell reselection so that another policy influencing handover over active UEs can be assisted. The communication system as influenced by the policies is modeled as a Markov decision process (MDP). The policies controlling the active UEs and inactive UEs are coupled, and measureable system characteristics are improved. In some embodiments, policy actions depend at least in part on energy saving.

Hierarchical policy learning for hybrid communication load balancing

An apparatus distributing communication load over a plurality of communication cells may select action centers from random cell reselection values, based on a standard deviation of an internet protocol (IP) throughout over the plurality of communication cells; input a first vector indicating a communication state of a communication system and a second vector indicating the standard deviation of the IP throughout of the plurality of communication cells, to a neural network to output a sum of the action centers and offsets as cell reselection parameters; and transmit the cell reselection parameters to the communication system to enable a base station of the communication system to perform a cell reselection based on the cell reselection parameters.

Method and apparatus for distributing traffic load between different communication cells

Provided is a method, performed by an electronic device, of scheduling a plurality of packets to allocate radio resources to a plurality of packets related to tasks of a plurality of user equipments (UEs) and stacked in a queue, the method including: setting priorities for a plurality of packets stacked in the queue at a first point in time based on a preset scheduling parameter, allocating radio resources to at least some of the plurality of packets for which the priorities are set based on the set priorities, updating the scheduling parameter using at least one artificial intelligence (AI) learning model, and setting the priorities for the plurality of packets stacked in the queue at a second point in time later than the first point in time, based on the updated scheduling parameter.

Method of scheduling plurality of packets related to tasks of plurality of user equipments using artificial intelligence and electronic device performing the method

An electronic device may include a first communication processor supporting first network communication with a first network, and a second communication processor supporting second network communication with a second network different from the first network. When both of the first network communication and the second network communication are set to a data transmittable state, the second communication processor may be configured to transmit transmission data based on the second network communication selected as a primary path from between the first network communication and the second network communication, when the size of the transmission data is less than a predetermined threshold. In response to detection of a failure in the second network communication, the first communication processor may be configured to transmit the transmission data based on the first network communication, irrespective of whether the size of the transmission data is equal to or larger than the predetermined threshold.

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Gyeonggi-do, South Korea

Taeseop Lee