EP-4740323-A1 - METHOD AND APPARATUS FOR CSI PREDICTION AT THE USER TERMINAL AND PERFORMANCE MONITORING AT THE NETWORK IN WIRELESS COMMUNICATION SYSTEM

EP4740323A1EP 4740323 A1EP4740323 A1EP 4740323A1EP-4740323-A1

Abstract

The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. A method performed by a user equipment (UE) in a communication system is provided. The method includes receiving, from a base station via higher layer signaling, one or more configurations, identifying a first CSI report for prediction and a second CSI report for monitoring based on the one or more configurations, and transmitting, to the base station, the first CSI report for prediction and the second CSI report for monitoring.

Inventors

ABEBE, Ameha Tsegaye
PARK, KYOUNGMIN
BAE, TAEHAN
LIM, Seongmok
JANG, Youngrok
Ji, Hyoungju

Assignees

Samsung Electronics Co., Ltd.

Dates

Publication Date: 20260513
Application Date: 20240805

Claims (15)

A method performed by a user equipment (UE) in a communication system, the method comprising: receiving, from a base station via higher layer signaling, one or more configurations; identifying a first CSI report for prediction and a second CSI report for monitoring based on the one or more configurations; and transmitting, to the base station, the first CSI report for prediction and the second CSI report for monitoring.
The method of claim 1, wherein: the one or more configurations includes a first configuration associated with the first CSI report for prediction and a second configuration associated with CSI report for monitoring, the first configuration and the second configuration are linked, and the first configuration includes a first codebook configuration for the first CSI report for prediction and the second configuration includes a second codebook configuration for the second CSI report for monitoring.
The method of claim 1, wherein the one or more configurations includes a single configuration, and wherein: the single configuration includes a first a first codebook configuration for the first CSI report for prediction and a second codebook configuration for the second CSI report for monitoring, or the single configuration includes a single codebook configuration for the first CSI report for prediction and the second CSI report for monitoring.
The method of claim 2, wherein: a first parameter indicating a report quantity of the first CSI report for prediction is included in the first configuration and a second parameter indicating a report quantity of the second CSI report for monitoring is included in the second configuration, or the first parameter indicating the report quantity of the first CSI report for prediction is included in the first configuration, the second parameter indicating the report quantity of the first CSI report for monitoring is omitted in the second configuration, and the second parameter is same as the first parameter, or the first parameter indicating the report quantity of the first CSI report for prediction is included in the first configuration, and the second parameter indicating the report quantity of the first CSI report for monitoring is indicated via dynamic signaling.
The method of claim 3, wherein: the single configuration includes a first parameter indicating a report quantity of the first CSI report for prediction and a second parameter indicating a report quantity of the second CSI report for monitoring, or the single configuration includes a single parameter indicating a report quantity of the first CSI report for prediction and the second CSI report for monitoring.
A method performed by a base station in a communication system, the method comprising: transmitting, to a user equipment (UE) via higher layer signaling, one or more configurations associated with a first CSI report for prediction and a second CSI report for monitoring receiving, from the UE, the first CSI report for prediction and the second CSI report for monitoring.
The method of claim 6, wherein: the one or more configurations includes a first configuration associated with the first CSI report for prediction and a second configuration associated with CSI report for monitoring, the first configuration and the second configuration are linked, and the first configuration includes a first codebook configuration for the first CSI report for prediction and the second configuration includes a second codebook configuration for the second CSI report for monitoring.
The method of claim 6, wherein the one or more configurations includes a single configuration, and wherein: the single configuration includes a first a first codebook configuration for the first CSI report for prediction and a second codebook configuration for the second CSI report for monitoring, or the single configuration includes a single codebook configuration for the first CSI report for prediction and the second CSI report for monitoring.
The method of claim 7, wherein: a first parameter indicating a report quantity of the first CSI report for prediction is included in the first configuration and a second parameter indicating a report quantity of the second CSI report for monitoring is included in the second configuration, or the first parameter indicating the report quantity of the first CSI report for prediction is included in the first configuration, the second parameter indicating the report quantity of the first CSI report for monitoring is omitted in the second configuration, and the second parameter is same as the first parameter, or the first parameter indicating the report quantity of the first CSI report for prediction is included in the first configuration, and the second parameter indicating the report quantity of the first CSI report for monitoring is indicated via dynamic signaling.
The method of claim 8, wherein: the single configuration includes a first parameter indicating a report quantity of the first CSI report for prediction and a second parameter indicating a report quantity of the second CSI report for monitoring, or the single configuration includes a single parameter indicating a report quantity of the first CSI report for prediction and the second CSI report for monitoring.
A user equipment (UE) in a communication system, the UE comprising: a transceiver; and at least one processor configured to: receive, from a base station via higher layer signaling, one or more configurations; identify a first CSI report for prediction and a second CSI report for monitoring based on the one or more configurations; and transmit, to the base station, the first CSI report for prediction and the second CSI report for monitoring.
The UE of claim 11, wherein: the one or more configurations includes a first configuration associated with the first CSI report for prediction and a second configuration associated with CSI report for monitoring, the first configuration and the second configuration are linked, and the first configuration includes a first codebook configuration for the first CSI report for prediction and the second configuration includes a second codebook configuration for the second CSI report for monitoring.
The UE of claim 11, wherein the one or more configurations includes a single configuration, and wherein: the single configuration includes a first a first codebook configuration for the first CSI report for prediction and a second codebook configuration for the second CSI report for monitoring, or the single configuration includes a single codebook configuration for the first CSI report for prediction and the second CSI report for monitoring.
The UE of claim 12, wherein: a first parameter indicating a report quantity of the first CSI report for prediction is included in the first configuration and a second parameter indicating a report quantity of the second CSI report for monitoring is included in the second configuration, or the first parameter indicating the report quantity of the first CSI report for prediction is included in the first configuration, the second parameter indicating the report quantity of the first CSI report for monitoring is omitted in the second configuration, and the second parameter is same as the first parameter, or the first parameter indicating the report quantity of the first CSI report for prediction is included in the first configuration, and the second parameter indicating the report quantity of the first CSI report for monitoring is indicated via dynamic signaling.
A base station in a communication system, the base station comprising: a transceiver; and at least one processor configured to: transmit, to a user equipment (UE) via higher layer signaling, one or more configurations associated with a first CSI report for prediction and a second CSI report for monitoring receive, from the UE, the first CSI report for prediction and the second CSI report for monitoring.

Description

METHOD AND APPARATUS FOR CSI PREDICTION AT THE USER TERMINAL AND PERFORMANCE MONITORING AT THE NETWORK IN WIRELESS COMMUNICATION SYSTEM The disclosure relates to the field of 5th generation (5G) and beyond 5G communication networks. More particularly, the disclosure relates to mechanisms to monitor at the network (including base station) the performance of channel state information (CSI) prediction at the user terminal, and introduces configuration from the base station to the user terminal for measurement and reporting of CSI for monitoring purpose. To meet the demand for wireless data traffic having increased since deployment of 4th generation (4G) communication systems, efforts have been made to develop an improved 5G or pre-5G communication system. Therefore, the 5G or pre-5G communication system is also called a 'Beyond 4G Network' or a 'Post long-term evolution (LTE) System'. The 5G communication system is considered to be implemented in higher frequency (mmWave) bands, e.g., 60GHz bands, so as to accomplish higher data rates. To decrease propagation loss of the radio waves and increase the transmission distance, the beamforming, massive multiple-input multiple-output (MIMO), full dimensional MIMO (FD-MIMO), array antenna, an analog beam forming, large scale antenna techniques are discussed in 5G communication systems. In addition, in 5G communication systems, development for system network improvement is under way based on advanced small cells, cloud radio access networks (RANs), ultra-dense networks, device-to-device (D2D) communication, wireless backhaul, moving network, cooperative communication, coordinated multi-points (CoMP), reception-end interference cancellation and the like. In the 5G system, hybrid frequency shift keying (FSK) and quadrature amplitude modulation (QAM) modulation (FQAM) and sliding window superposition coding (SWSC) as an advanced coding modulation (ACM), and filter bank multi carrier (FBMC), non-orthogonal multiple access (NOMA), and sparse code multiple access (SCMA) as an advanced access technology have been developed. The Internet, which is a human centered connectivity network where humans generate and consume information, is now evolving to the Internet of things (IoT) where distributed entities, such as things, exchange and process information without human intervention. The Internet of everything (IoE), which is a combination of the IoT technology and the big data processing technology through connection with a cloud server, has emerged. As technology elements, such as "sensing technology", "wired/wireless communication and network infrastructure", "service interface technology", and "Security technology" have been demanded for IoT implementation, a sensor network, a machine-to-machine (M2M) communication, machine type communication (MTC), and so forth have been recently researched. Such an IoT environment may provide intelligent Internet technology services that create a new value to human life by collecting and analyzing data generated among connected things. IoT may be applied to a variety of fields including a smart home, a smart building, a smart city, a smart car or connected cars, smart grid, health care, smart appliances and advanced medical services through convergence and combination between existing information technology (IT) and various industrial applications. In line with this, various attempts have been made to apply 5G communication systems to IoT networks. For example, technologies, such as a sensor network, machine type communication (MTC), and machine-to-machine (M2M) communication may be implemented by beamforming, MIMO, and array antennas. Application of a cloud radio access network (RAN) as the above-described big data processing technology may also be considered to be as an example of convergence between the 5G technology and the IoT technology. The above information is presented as background information only to assist with an understanding of the disclosure. No determination has been made, and no assertion is made, as to whether any of the above might be applicable as prior art with regard to the disclosure. The above and other aspects, features, and advantages of certain embodiments of the disclosure will be more apparent from the following description taken in conjunction with the accompanying drawings, in which: FIG. 1 illustrates a wireless network according to an embodiment of the disclosure; FIGS. 2A and 2B illustrate wireless transmit and receive paths according to various embodiments of the disclosure; FIGS. 3A and 3B illustrate a user equipment (UE) and gNodeB (gNB), respectively, according to various embodiments of the disclosure; FIG. 4 illustrates a cross-polarized multiple-input multiple-output (MIMO) antenna system according to an embodiment of the disclosure; FIG. 5 illustrates a layout for channel state information reference signal (CSI-RS) resource mapping in an orthogonal frequency division multiple access (OFDM) time-fre