Enhanced beam failure detection

1 . A method for wireless communications at a user equipment (UE), comprising:

receiving a message indicating a configuration associated with a beam blocking prediction procedure for the UE;

monitoring for one or more reference signals based at least in part on the configuration and a beam failure detection procedure associated with the beam blocking prediction procedure;

performing the beam blocking prediction procedure in accordance with the configuration based at least in part on the monitoring for the one or more reference signals;

modifying the beam failure detection procedure based at least in part on a blocking prediction determined in accordance with the beam blocking prediction procedure; and

performing the modified beam failure detection procedure based at least in part on the blocking prediction.

2 . The method of claim 1 , wherein performing the beam blocking prediction procedure comprises:

determining the blocking prediction based at least in part on one or more beam failure instance indicators detected by the UE.

3 . The method of claim 2 , further comprising:

detecting a quantity of consecutive beam failure instance indicators based at least in part on one or more measurements associated with the monitoring for the one or more reference signals, wherein determining the blocking prediction is based at least in part on the quantity of consecutive beam failure instance indicators exceeding a threshold quantity.

4 . The method of claim 1 , wherein performing the beam blocking prediction procedure comprises:

determining the blocking prediction based at least in part on a machine learning model.

5 . The method of claim 4 , wherein determining the blocking prediction based at least in part on the machine learning model comprises:

inputting a set of parameters associated with the beam failure detection procedure into the machine learning model, wherein the set of parameters associated with the beam failure detection procedure is based at least in part on the monitoring.

6 . The method of claim 5 , wherein the set of parameters associated with the beam failure detection procedure comprises a signal-to-interference-plus-noise ratio (SINR), a reference signal received power (RSRP), a signal-to-noise ratio (SNR), a pathloss measurement, a quantity of BFI indicators detected by the UE, a quantity of available preambles for performing a contention free random access (CFRA) procedure, or a combination thereof.

7 . The method of claim 1 , wherein performing the beam blocking prediction procedure comprises:

performing the beam blocking prediction procedure based at least in part on a set of prediction parameters associated with the beam blocking prediction procedure, wherein the configuration associated with the beam blocking prediction procedure indicates the set of prediction parameters.

8 . The method of claim 7 , wherein the set of prediction parameters comprises a threshold quantity of consecutive beam failure instance indicators, a machine learning model, one or more parameters associated with the machine learning model, a prediction method indicator, or any combination thereof.

9 . The method of claim 1 , wherein modifying the beam failure detection procedure comprises:

modifying the beam failure detection procedure based at least in part on an indication of a configuration switch, wherein the configuration associated with the beam blocking prediction procedure comprises the indication of the configuration switch.

10 . The method of claim 1 , wherein performing the modified beam failure detection procedure comprises:

pausing the monitoring for the one or more reference signals during a blocking period associated with the blocking prediction; and

resuming the monitoring for the one or more reference signals after the blocking period.

11 . The method of claim 1 , wherein performing the modified beam failure detection procedure comprises:

pausing counting of beam failure instance indicators detected by the UE during a blocking period associated with the blocking prediction; and

resuming the counting of beam failure instance indicators detected by the UE after the blocking period.

12 . The method of claim 1 , further comprising:

receiving an activation message instructing the UE to activate the beam blocking prediction procedure, the modified beam failure detection procedure, or both, wherein the beam blocking prediction procedure, the modified beam failure detection procedure, or both, are performed based at least in part on the activation message.

13 . The method of claim 12 , further comprising:

transmitting a request message requesting activation of the beam blocking prediction procedure, the modified beam failure detection procedure, or both, wherein the activation message is received in response to the request message.

14 . The method of claim 13 , wherein activation of the beam blocking prediction procedure, the modified beam failure detection procedure, or both, are based at least in part on a quality of service parameter, a power restraint parameter of the UE, a capacity associated with the UE, one or more parameters associated with a discontinuous cycle of the UE, or any combination thereof.

15 . The method of claim 1 , further comprising:

receiving a deactivation message instructing the UE to deactivate the beam blocking prediction procedure, the modified beam failure detection procedure, or both; and

deactivating the beam blocking prediction procedure, the modified beam failure detection procedure, or both, based at least in part on the deactivation message.

16 . The method of claim 15 , further comprising:

transmitting a request message requesting deactivation of the beam blocking prediction procedure, the modified beam failure detection procedure, or both, wherein the deactivation message is received in response to the request message.

17 . The method of claim 16 , wherein deactivation of the beam blocking prediction procedure, the modified beam failure detection procedure, or both, are based at least in part on a quality of service parameter, a power restraint parameter of the UE, a capacity associated with the UE, one or more parameters associated with a discontinuous cycle of the UE, or any combination thereof.

18 . The method of claim 1 , further comprising:

measuring a signal quality of a first reference signal of the one or more reference signals; and

detecting a beam failure instance for the first reference signal based at least in part on the signal quality being below a threshold quality.

19 . The method of claim 18 , further comprising:

initiating a timer associated with the beam failure detection procedure based at least in part on the beam failure instance; and

counting a quantity of beam failure instances during a duration associated with the timer.

20 . The method of claim 1 , wherein the one or more reference signals comprises one or more beam failure detection reference signals, channel state information reference signals, or synchronization signal blocks.

21 . A method for wireless communications at a network entity, comprising:

transmitting an activation message to activate a beam blocking prediction procedure corresponding to a modification of a beam failure detection procedure;

transmitting a message indicating a configuration associated with the beam blocking prediction procedure to be performed by a user equipment (UE), the beam blocking prediction procedure associated with prediction, by the UE, of temporary blockage of one or more beams based at least in part on one or more reference signals; and

transmitting the one or more reference signals based at least in part on the configuration and a modified beam failure detection procedure associated with the beam blocking prediction procedure.

22 . The method of claim 21 , wherein transmitting the message indicating the configuration comprises:

transmitting a set of prediction parameters associated with the beam blocking prediction procedure, wherein the set of prediction parameters comprises a threshold quantity of consecutive beam failure instance indicators, a machine learning model, one or more parameters associated with the machine learning model, a prediction type parameter, a modification parameter, a configuration switch indicator, or any combination thereof.

23 . The method of claim 21 , wherein transmitting the activation message further comprises:

transmitting the activation message to activate the modified beam failure detection procedure.

24 . The method of claim 23 , further comprising:

receiving a request message requesting activation of the beam blocking prediction procedure, the modified beam failure detection procedure, or both wherein the activation message is transmitted in response to the request message.

25 . The method of claim 21 , further comprising:

transmitting a deactivation message to deactivate the beam blocking prediction procedure, the modified beam failure detection procedure, or both.

26 . The method of claim 25 , further comprising:

receiving a request message requesting deactivation of the beam blocking prediction procedure, the modified beam failure detection procedure, or both, wherein the deactivation message is transmitted in response to the request message.

27 . An apparatus for wireless communications at a user equipment (UE), comprising:

one or more processors; and

instructions stored in one or more memories and executable by the one or more processors to cause the apparatus to:

receive a message indicating a configuration associated with a beam blocking prediction procedure for the UE;

monitor for one or more reference signals based at least in part on the configuration and a beam failure detection procedure associated with the beam blocking prediction procedure;

perform the beam blocking prediction procedure in accordance with the configuration based at least in part on the monitoring for the one or more reference signals;

modify the beam failure detection procedure based at least in part on a blocking prediction determined in accordance with the beam blocking prediction procedure; and

perform the modified beam failure detection procedure based at least in part on the blocking prediction.

28 . The apparatus of claim 27 , wherein, to perform the beam blocking prediction procedure, the instructions are executable by the one or more processors to cause the apparatus to:

determine the blocking prediction based at least in part on one or more beam failure instance indicators detected by the UE.

29 . The apparatus of claim 27 , wherein, to perform the beam blocking prediction procedure, the instructions are executable by the one or more processors to cause the apparatus to:

determine the blocking prediction based at least in part on a machine learning model.

30 . An apparatus for wireless communications at a network entity, comprising:

one or more processors; and

instructions stored in one or more memories and executable by the one or more processors to cause the apparatus to:

transmit an activation message to activate a beam blocking prediction procedure corresponding to a modification of a beam failure detection procedure;

transmit a message indicating a configuration associated with the beam blocking prediction procedure to be performed by a user equipment (UE), the beam blocking prediction procedure associated with prediction, by the UE, of temporary blockage of one or more beams based at least in part on one or more reference signals; and

transmit the one or more reference signals based at least in part on the configuration and a modified beam failure detection procedure associated with the beam blocking prediction procedure.