Abstract: The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. A method performed by a first node is provided, comprising determining whether direct data forwarding between a third node and a second node is available, performing direct data forwarding if the direct data forwarding is available, otherwise, performing indirect data forwarding.

Abstract: A method performed by a base station, comprises transmitting a reference signal associated with a first beam in a beambook to a user equipment (UE), wherein the beambook comprises a first beam set including the first beam and a second beam set. The method comprises determining a transmitting beam of the first beam set and the second beam set based on measurement information including received power value of the reference signal received from the UE. The method comprises determining index of the first beam corresponding to the transmitting beam in case that the transmitting beam is a second beam included in the second beam set. The method comprises transmitting beam information including the index to the UE. The first beam is configured to measure the received power value. A signal transmitted using the first beam and a signal transmitted using the second beam are received using a receiving beam of the UE.

Abstract: The present disclosure relates to a 5G communication system or a 6G communication system for supporting higher data rates beyond a 4G communication system such as long term evolution (LTE). A user equipment (UE), a base station and a method performed by the same in a wireless communication system are provided. The method includes determining a first reference signal set for measurement, performing measurement to obtain one or more measurement results based on the determined first reference signal set, and performing reporting based on the one or more measurement results. The first reference signal set is generated based on a first artificial intelligence (AI) model, or the one or more measurement results are generated based on a second AI model. The present disclosure can reduce resource overhead and power consumption of the UE.

Abstract: A method which may be performed by a base station, may include obtaining a predicted transmission configuration indicator (TCI) subset for a user equipment (UE); and determining the TCI subset corresponding to the UE based on the predicted TCI subset. The step of obtaining the predicted TCI subset in the solution may be implemented by using a trained artificial intelligence model. Since the beams in the predicted TCI subset may fit the movement trend of the UE, then the target serving beam for the UE when performing serving beam switching may belong to the predicted TCI subset with a greater possibility, thus reducing the occurrence of high delay scenarios when the UE performs the serving beam switching, and thus reducing the beam switching delay.

Abstract: A method of signal reception performed by a user equipment (UE), including receiving a reference signal by at least two measuring beams; determining at least two reference signal received power (RSRP) values measured by the at least two measuring beams; processing the at least two RSRP values measured by the at least two measuring beams as at least two data tables; and performing the signal reception according to the at least two data tables.

Abstract: A beam determination method, apparatus, electronic device, and computer-readable storage medium are provided. The method includes determining at least one to-be-measured narrow beam among narrow beams corresponding to at least one wide beam, acquiring received signal strength of reference signals transmitted through at least one to-be-measured narrow beam, and predicting a target narrow beam for transmitting data based on the received signal strength. In the process of determining the target narrow beam of the disclosure, user equipment (UE) only needs to measure the Reference Signal Received Power (RSRP) of a part of the narrow beams used in the system, thereby reducing the occupation of measurement resources, reducing the measurement burden of the UE, and reducing the power consumption of the UE.

Abstract: The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. A method performed by a first node is provided, comprising determining whether direct data forwarding between a third node and a second node is available, performing direct data forwarding if the direct data forwarding is available, otherwise, performing indirect data forwarding.

Abstract: A method of signal reception performed by a user equipment (UE), including receiving a reference signal by at least two measuring beams; determining at least two reference signal received power (RSRP) values measured by the at least two measuring beams; processing the at least two RSRP values measured by the at least two measuring beams as at least two data tables; and performing the signal reception according to the at least two data tables.

Abstract: A beam management method is provided. The beam management method is performed by a user equipment and includes receiving, by the at least one processor, reference signals corresponding to a transmitting beam by using a first receiving beam and a second receiving beam; identifying, by the at least one processor, a first reference signal receiving power (RSRP) of the first receiving beam and a second RSRP of the second receiving beam; analyzing, by the at least one processor, the first RSRP and the second RSRP respectively by a machine learning model; and identifying, by the at least one processor, a beam management operation corresponding to the transmitting beam according to a result of the analyzing.

Abstract: A method for processing interference signals, comprising the following steps of: receiving, by a terminal, configuration information sent by a base station to obtain periodic scheduling configuration information of a neighbor cell on specific time-frequency resources; detecting, by the terminal, an interference signal of the neighbor cell according to the scheduling configuration information, and acquiring information about the interference signal; and, performing, by the terminal, interference cancellation and/or interference suppression on the detected interference signal according to the information about the interference signal.

Abstract: A method for processing interference signals, comprising the following steps of: receiving, by a terminal, configuration information sent by a base station to obtain periodic scheduling configuration information of a neighbor cell on specific time-frequency resources; detecting, by the terminal, an interference signal of the neighbor cell according to the scheduling configuration information, and acquiring information about the interference signal; and, performing, by the terminal, interference cancellation and/or interference suppression on the detected interference signal according to the information about the interference signal.