US-12621710-B2 - Method and apparatus for updating autoencoder for channel state information feedback in wireless communication system

Abstract

Disclosed is a method by which a base station (BS) updates an autoencoder (AE) for channel state information (CSI) feedback in a wireless communication system, including transmitting, to a user equipment (UE), a data collect instruction message instructing to collect data before compression corresponding to compressed data, receiving data before the compression from the UE, and updating an AE, based on the received data before compression.

Inventors

• Seunghyun Lee
• Hyeondeok JANG
• Suhwook Kim
• Wonjun KIM
• Changsung LEE

Assignees

• SAMSUNG ELECTRONICS CO., LTD.

Dates

Publication Date

20260505

Application Date

20230615

Priority Date

20220615

Claims (19)

1. 1 . A method performed by a base station (BS) updating an autoencoder (AE) for channel state information (CSI) feedback in a wireless communication system, the method comprising: transmitting, to a user equipment (UE), a data transmission request message requesting the UE to transmit at least one piece of data before compression corresponding to compressed data; receiving, from the UE, the at least one piece of the data before the compression in response to the data transmission request message; and updating an autoencoder (AE), based on the received at least one piece of the data before compression.
2. 2 . The method of claim 1 , wherein the AE includes a first encoder artificial intelligence (AI) model configured to compress channel state information (CSI) data and a decoder AI model configured to reconstruct the compressed CSI data, and wherein updating the AE comprises fine tuning at least one of the first encoder AI model or the decoder AI model.
3. 3 . The method of claim 2 , further comprising transmitting, to the UE, AE update start time information, duration information of the updating, and identification information for a second encoder AI model to be used for a period during which the updating of the AE is performed.
4. 4 . The method of claim 2 , further comprising transmitting, to the UE, AE update start time information, duration information of the updating, and identification information for a codebook to be used for a period during which the updating of the AE is performed.
5. 5 . The method of claim 1 , wherein a data collect instruction message instructing the UE to collect the data before compression is transmitted to the UE when it is determined, based on cell-specific information, that there is a change in channel characteristics.
6. 6 . The method of claim 1 , wherein a data collect instruction message instructing the UE to collect the data before compression comprises an indicator including identification information of the data before compression to be collected, and wherein the data collect instruction message is transmitted to the UE in a physical downlink control channel (PDCCH).
7. 7 . The method of claim 1 , further comprising determining a data collection interval, based on a degree of changing of the channel characteristics over time, wherein a data collect instruction message instructing the UE to collect the data before compression comprises data collection interval information, and wherein the data collect instruction message is transmitted to the UE by radio resource control (RRC) signaling.
8. 8 . The method of claim 1 , wherein a data collect instruction message instructing the UE to collect the data before compression comprises a data transmission request message requesting the UE to transmit the collected data before compression immediately after the data before compression is collected.
9. 9 . The method of claim 1 , wherein a data collect instruction message instructing the UE to collect the data before compression comprises a data store instruction message instructing the UE to store the collected data before compression, and wherein the method further comprises transmitting, to the UE, the data collect instruction message.
10. 10 . A base station (BS) for updating an autoencoder (AE) for channel state information (CSI) feedback in a wireless communication system, the BS comprising: a transceiver; and at least one processor, wherein the at least one processor is configured to: transmit, to a user equipment (UE) through the transceiver, a data transmission request message requesting the UE to transmit at least one piece of data before compression corresponding to compressed data, receive, from the UE through the transceiver, the at least one piece of the data before the compression in response to the data transmission request message, and update an autoencoder (AE), based on the received at least one piece of the data before compression.
11. 11 . A method performed by a user equipment (UE) communicating with a base station (BS) for updating an autoencoder (AE) for channel state information (CSI) feedback in a wireless communication system, the method comprising: creating compressed data; collecting data before compression corresponding to the compressed data; receiving, from the BS, a data transmission request message requesting transmission of at least one piece of the data before compression; transmitting, to the BS, the at least one piece of the data before the compression in response to the data transmission request message; and receiving, from the BS, an autoencoder (AE) updated based on the at least one piece of the data before compression.
12. 12 . The method of claim 11 , wherein the AE comprises a first encoder artificial intelligence (AI) model configured to compress channel state information (CSI) data and a decoder AI model configured to reconstruct the compressed CSI data, and wherein the updated AE comprises at least one of the fine-tuned first encoder AI model or the fine-tuned decoder AI model.
13. 13 . The method of claim 12 , further comprising receiving, from the BS, AE update start time information, duration information of the updating, and identification information for a second encoder AI model to be used for a period during which the updating of the AE is performed.
14. 14 . The method of claim 12 , further comprising receiving, from the BS, AE update start time information, duration information of the updating, and identification information for a codebook to be used for a period during which the updating of the AE is performed.
15. 15 . The method of claim 11 , wherein a data collect instruction message instructing the UE to collect the data before compression is received from the BS when it is determined based on cell-specific information that there is a change in channel characteristics.
16. 16 . The method of claim 11 , wherein a data collect instruction message instructing the UE to collect the data before compression comprises an indicator including identification information of the data before compression to be collected, and wherein the data collect instruction message is received from the BS in a physical downlink control channel (PDCCH).
17. 17 . The method of claim 11 , wherein a data collect instruction message instructing the UE to collect the data before compression comprises data collection interval information, and is received from the BS by radio resource control (RRC) signaling, and wherein the data collection interval information is determined based on a degree of changing of channel characteristics over time.
18. 18 . The method of claim 11 , wherein a data collect instruction message instructing the UE to collect the data before compression comprises a data transmission request message requesting transmission of the collected data before compression to the BS immediately after collection of the data before collection.
19. 19 . The method of claim 11 , wherein a data collect instruction message instructing the UE to collect the data before compression comprises a data store instruction message instructing to store the collected data before compression, and wherein the method further comprises receiving, from the BS, the data collect instruction message.

Description

CROSS-REFERENCE TO RELATED APPLICATION This application is based on and claims priority under 35 U.S.C. § 119 to Korean Patent Application No. 10-2022-0073059, filed on Jun. 15, 2022, in the Korean Intellectual Property Office, the disclosure of which is incorporated by reference herein in its entirety. BACKGROUND 1. Field The disclosure relates generally to a wireless communication system, and more particularly, to a method and apparatus for updating an artificial intelligence (AI) model included in an autoencoder (AE) for compression of channel state information (CSI) data. 2. Description of Related Art In the process of radio communication development, technologies for human-targeted services such as voice, multimedia, and data have been developed. Connected devices that are exponentially rising after commercialization of fifth-generation (5G) communication systems are expected to be connected to communication networks. As examples of things connected to networks, there may be cars, robots, drones, home appliances, displays, smart sensors installed in various infrastructures, construction machinery, and factory equipment. Mobile devices are expected to evolve to various form factors such as augmented reality (AR) glasses, virtual reality (VR) headsets, and hologram devices. To provide various services by connecting hundreds of billions of devices and things in the sixth-generation (6G) era, there are ongoing efforts to develop better 6G communication systems, which are referred to as beyond-5G systems. In the 6G communication system expected to become a reality by around 2030, a maximum transfer rate is tera bits per second (bps), i.e., 1000 giga bps, and a maximum wireless delay is 100 microseconds (μsec). In other words, compared to the 5G communication system, the transfer rate becomes 50 times faster and the wireless delay is reduced to a tenth ( 1/10) in the 6G communication system. To attain these high data transfer rates and the ultra-low delay, the 6G communication system is considered to be implemented in the terahertz (THz) band (e.g., ranging from 95 gigahertz (GHz) to 3 THz). Due to the more severe path loss and atmospheric absorption phenomenon in the THz band as compared to the millimeter wave (mmWave) band introduced in 5G systems, importance of technology for securing a signal range, i.e., coverage, is expected to increase. As major technologies for securing coverage, radio frequency (RF) elements, antennas, new waveforms superior to orthogonal frequency division multiplexing (OFDM) in terms of coverage, beamforming and massive multiple-input and multiple-output (MIMO), full dimensional MIMO (FFD-MIMO), array antennas, multiple antenna transmission technologies such as large-scale antennas need to be developed. New technologies for increasing coverage of THz band signals, such as metamaterial-based lenses and antennas, a high-dimensional spatial multiplexing technique using orbital angular momentum (OAM), and reconfigurable intelligent surface (RIS) are being discussed. To enhance frequency efficiency and system networks, a full duplex technology by which both uplink (UL) and downlink (DL) transmissions concurrently use the same frequency resource, a network technology that comprehensively uses satellite and high-altitude platform stations (HAPS), etc., a network structure innovation technology supporting mobile base stations (BSs) and allowing optimization and automation of network operation, a dynamic spectrum sharing technology through collision avoidance based on spectrum usage prediction, an AI based communication technology to realize system optimization by using AI from the designing stage and internalizing an end-to-end AI supporting function, and a next generation distributed computing technology to realize services having complexity beyond the limit of terminal computing capability by using ultrahigh performance communication and computing resources (e.g., mobile edge computing (MEC) cloud) are being developed in the 6G communication system. By designing new protocols to be used in 6G communication systems, developing mechanisms for implementing a hardware-based security environment and safe use of data, and developing technologies for protecting privacy, attempts to strengthen connectivity between devices, further optimize the network, promote softwarization of network entities, and increase the openness of wireless communication are continuing. With such research and development of the 6G communication system, it is expected that new levels of the next hyper-connected experience are realized through hyper-connectivity of the 6G communication system including not only connections between things but also connections between humans and things. In particular, it is predicted that services such as truly immersive extended reality (XR), high-fidelity mobile hologram, and digital replica may be provided. Further, services such as remote surgery, industrial automation and emergency re