Granted Patent B2

US 12,255,721 · App. 18/313,568 · Granted Mar 18, 2025

Inventors: Liying Zhou (Beijing, CN); Lei Wang (Beijing, CN); Yiyan Zhang (Beijing, CN); He Wang (Beijing, CN); Songhui Shen (Beijing, CN); Chaeman Lim (Suwon-si, KR)

Assignee: Samsung Electronics Co., Ltd.

H04B7/06958H04L5/0048

Abstract

Claims (77)

1. A device of a base station, the device comprising:

at least one transceiver; and

at least one processor electrically connected to the at least one transceiver,

wherein the at least one processor is configured to:

obtain at least one measurement report (MR) of a user equipment (UE);

identify a predicted transmission configuration indicator (TCI) subset from a set of TCI states configured to the UE based on the at least one MR of the UE;

determine whether to change an active TCI subset based on the predicted TCI subset; and

in case that it is determined that the active TCI subset is changed, transmit, to the UE, a control signal for activating the predicted TCI subset from the set of TCI states,

wherein each TCI state of the set of TCI states comprises a beam indicator.

2. The device of claim 1 , wherein the at least one processor is, to identify the predicted TCI subset, configured to:

identify a switching probability for a target beam to be switched in the active TCI subset based on the at least one MR, and

in case that the switching probability for the target beam is smaller than a first threshold, perform a prediction to identify the predicted TCI subset.

3. The device of claim 1 , wherein the at least one processor is, to identify the predicted TCI subset, configured to:

identify a total number of beams, which had been used as serving beams for the UE switched, in the active TCI subset, and

in case that the total number of the beams in the active TCI subset is greater than a second threshold, perform a prediction to identify the predicted TCI subset.

4. The device of claim 1 , wherein the at least one processor is, to identify the predicted TCI subset, configured to:

identify a current target beam to be switched and a last target beam when the active TCI subset is activated, and

in case that a similarity metric between a beam vector of the current target beam and a beam vector of the last target beam is greater than a third threshold, perform a prediction to identify the predicted TCI subset.

5. The device of claim 1 , wherein the at least one processor is, to determine whether to change the active TCI subset, configured to:

identify that a proportion of beams included in both of the active TCI subset and the predicted TCI subset to the predicted TCI subset, and

identify whether the proportion is smaller than a fourth threshold or not, and

wherein, in case that the proportion is smaller than the fourth threshold, the active TCI subset is determined to be changed.

6. The device of claim 1 , wherein the at least one processor is, to determine whether to change the active TCI subset, configured to:

identify a ratio of a sum of switching probabilities of the active TCI subset and a sum of switching probabilities of the predicted TCI subset, and

identify whether the ratio is smaller than a fifth threshold or not, and

wherein, in case that the proportion is smaller than the fifth threshold, the active TCI subset is determined to be changed.

7. The device of claim 1 , wherein the at least one processor is further configured to transmit, to the UE, a downlink signal for indicating a target beam to be switched within the activated predicted TCI subset.

8. The device of claim 7 ,

wherein the control signal comprises a medium access control (MAC) control element (CE),

wherein the downlink signal comprises downlink control information (DCI), and

wherein the MAC CE includes information for indicating at least one TCI state of the predicted TCI subset to be activated,

wherein the DCI includes information for identifying a TCI state from the at least one TCI state, and

wherein the TCI state indicates the target beam to be switched.

9. The device of claim 1 ,

wherein the set of TCI states is configured based on a radio resource control (RRC) reconfiguration message,

wherein the active TCI subset is activated based on a medium access control (MAC) control element (CE) before the predicted TCI subset,

wherein each TCI state of the set of TCI states comprises a quasi-co location (QCL) information for the beam indicator, and

wherein the beam indicator comprises a channel state information—reference signal (CSI-RS) resource indicator (CRI) or a synchronization signal/physical broadcast channel (SS/PBCH) resource indicator (SRI).

10. The device of claim 1 , wherein the predicted TCI subset is identified based on a prediction using an artificial intelligence (AI) model with a movement trajectory of the UE and beams of the set of TCI states.

11. A method performed by a base station, the method comprising:

obtaining at least one measurement report (MR) of a user equipment (UE);

identifying a predicted transmission configuration indicator (TCI) subset from a set of TCI states configured to the UE based on the at least one MR of the UE;

determining whether to change an active TCI subset based on the predicted TCI subset; and

in case that it is determined that the active TCI subset is changed, transmitting, to the UE, a control signal for activating the predicted TCI subset from the set of TCI states,

wherein each TCI state of the set of TCI states comprises a beam indicator.

12. The method of claim 11 , wherein the identifying of the predicted TCI subset, comprises:

identifying a switching probability for a target beam to be switched in the active TCI subset based on the at least one MR, and

in case that the switching probability for the target beam is smaller than a first threshold, performing a prediction to identify the predicted TCI subset.

13. The method of claim 11 , wherein the identifying of the predicted TCI subset, comprises:

identifying a total number of beams, which had been used as serving beams for the UE switched, in the active TCI subset, and

in case that the total number of the beams in the active TCI subset is greater than a second threshold, performing a prediction to identify the predicted TCI subset.

14. The method of claim 11 , wherein the identifying of the predicted TCI subset, comprises:

identifying a current target beam to be switched and a last target beam when the active TCI subset is activated, and

in case that a similarity metric between a beam vector of the current target beam and a beam vector of the last target beam is greater than a third threshold, performing a prediction to identify the predicted TCI subset.

15. The method of claim 11 , wherein the determining of whether to change the active TCI subset, comprises:

identifying that a proportion of beams included in both of the active TCI subset and the predicted TCI subset to the predicted TCI subset, and

identifying whether the proportion is smaller than a fourth threshold or not, and

wherein, in case that the proportion is smaller than the fourth threshold, the active TCI subset is determined to be changed.

16. The method of claim 11 , wherein the determining of whether to change the active TCI subset, comprises:

identifying a ratio of a sum of switching probabilities of the active TCI subset and a sum of switching probabilities of the predicted TCI subset, and

identifying whether the ratio is smaller than a fifth threshold or not, and

wherein, in case that the proportion is smaller than the fifth threshold, the active TCI subset is determined to be changed.

17. The method of claim 11 , further comprising:

transmitting, to the UE, a downlink signal for indicating a target beam to be switched within the activated predicted TCI subset.

18. The method of claim 17 ,

wherein the control signal comprises a medium access control (MAC) control element (CE),

wherein the downlink signal comprises downlink control information (DCI),

wherein the MAC CE includes information for indicating at least one TCI state of the predicted TCI subset to be activated,

wherein the DCI includes information for identifying a TCI state from the at least one TCI state, and

wherein the TCI state indicates the target beam to be switched.

19. The method of claim 11 , wherein the predicted TCI subset is identified based on a prediction using an artificial intelligence (AI) model with a movement trajectory of the UE and beams of the set of TCI states.

20. A non-transitory computer-readable storage medium having stored thereon program instructions, the instructions, when executed by a processor, performing operations including:

obtaining at least one measurement report (MR) of a user equipment (UE);

identifying a predicted transmission configuration indicator (TCI) subset from a set of TCI states configured to the UE based on the at least one MR of the UE;

determining whether to change an active TCI subset based on the predicted TCI subset; and

in case that it is determined that the active TCI subset is changed, transmitting, to the UE, a control signal for activating the predicted TCI subset from the set of TCI states,

wherein each TCI state of the set of TCI states comprises a beam indicator.

Assignments (1)

Priority Claims (1)

Continuity (2)

References Cited (24)