Tone placement for reference signal optimization

Abstract

Disclosed are techniques for determining tone patterns for transmission of reference signals. One or more parameters associated with communications with a base station over a time duration, may be determined by a user equipment. The user equipment may determine, based on the one or more parameters, a tone pattern for a reference signal for use in communications with the base station over a future time duration. The user equipment may then transmit the tone pattern to the base station. The user equipment may then receive the reference signal from the base station, over the tone patterns

What is claimed is: 
     
         1 . An apparatus for wireless communication, the apparatus comprising:
 at least one memory; and   at least one processor coupled to the at least one memory and configured to:
 receive a first reference signal having a tone pattern, wherein the tone pattern is from a plurality of existing tone patterns for communication of one or more reference signals; 
 determine, based on at least the first reference signal having the tone pattern, a predicted tone pattern for one or more reference signals for use in communications with a network device over a future time duration; and 
 cause information corresponding to the predicted tone pattern to be transmitted to the network device. 
   
     
     
         2 . The apparatus of  claim 1 , wherein the at least one processor is configured to:
 receive, from the network device, a second reference signal having the predicted tone pattern.   
     
     
         3 . The apparatus of  claim 1 , wherein the predicted tone pattern includes an irregular arrangement of resource elements in a resource block. 
     
     
         4 . The apparatus of  claim 1 , wherein, to cause the information corresponding to the predicted tone pattern to be transmitted, the at least one processor is configured to cause one or more identified symbols and one or more locations within a resource block for the one or more identified symbols to be placed to be transmitted. 
     
     
         5 . The apparatus of  claim 1 , wherein the information corresponding to the predicted tone pattern is transmitted to the network device over one or more of a Physical Uplink Control Channel (PUCCH), MAC Control Element (MAC-CE), or Radio Resource Control layer. 
     
     
         6 . The apparatus of  claim 1 , wherein the at least one processor is configured to determine the predicted tone pattern further based on one or more parameters associated with communications with the network device over a time duration preceding the future time duration. 
     
     
         7 . The apparatus of  claim 6 , wherein the one or more parameters include at least a location of the apparatus, an environmental condition associated with the location, and a mobility status of the apparatus. 
     
     
         8 . The apparatus of  claim 1 , wherein the at least one processor is configured to determine the predicted tone pattern using a machine learning model. 
     
     
         9 . The apparatus of  claim 8 , wherein the machine learning model is configured to output the predicted tone pattern based on at least the first reference signal having the tone pattern. 
     
     
         10 . The apparatus of  claim 9 , wherein the machine learning model is configured to output the predicted tone pattern further based on one or more parameters associated with communications with the network device over a time duration preceding the future time duration. 
     
     
         11 . The apparatus of  claim 8 , wherein the machine learning model is trained using a training dataset, the training dataset including at least one of channel conditions, different tone patterns used for at least one of transmitting or receiving reference signals, measurements made by at least one user equipment (UE) based on the channel conditions and the different tone patterns, or a measured throughput. 
     
     
         12 . The apparatus of  claim 11 , wherein the channel conditions include at least one of indoor channel conditions, outdoor channel conditions, a mobility status of the at least one UE, or multipath channel characteristics. 
     
     
         13 . The apparatus of  claim 1 , wherein the first reference signal is a Channel State Information-Reference Signal (CSI-RS). 
     
     
         14 . The apparatus of  claim 1 , wherein the first reference signal is a Tracking Reference Signal (TRS). 
     
     
         15 . The apparatus of  claim 1 , wherein the first reference signal is a downlink reference signal. 
     
     
         16 . A method of wireless communication performed by a user equipment (UE), the method comprising:
 receiving a first reference signal having a tone pattern, wherein the tone pattern is from a plurality of existing tone patterns for communication of one or more reference signals;   determining, based on at least the first reference signal having the tone pattern, a predicted tone pattern for one or more reference signals for use in communications with a network device over a future time duration; and   transmitting information corresponding to the predicted tone pattern to the network device.   
     
     
         17 . The method of  claim 16 , further comprising:
 receiving, from the network device, a second reference signal having the predicted tone pattern.   
     
     
         18 . The method of  claim 16 , wherein the predicted tone pattern includes an irregular arrangement of resource elements in a resource block. 
     
     
         19 . The method of  claim 16 , wherein transmitting the information corresponding to the predicted tone pattern comprises transmitting one or more identified symbols and one or more locations within a resource block for the one or more identified symbols to be placed. 
     
     
         20 . The method of  claim 16 , wherein the information corresponding to the predicted tone pattern is transmitted to the network device over one or more of a Physical Uplink Control Channel (PUCCH), MAC Control Element (MAC-CE), or Radio Resource Control layer. 
     
     
         21 . The method of  claim 16 , wherein the predicted tone pattern is determined further based on one or more parameters associated with communications with the network device over a time duration preceding the future time duration. 
     
     
         22 . The method of  claim 21 , wherein the one or more parameters include at least a location of the user equipment, an environmental condition associated with the location, and a mobility status of the user equipment. 
     
     
         23 . The method of  claim 16 , wherein the predicted tone pattern is determined using a machine learning model. 
     
     
         24 . The method of  claim 23 , wherein the machine learning model is configured to output the predicted tone pattern based on at least the first reference signal having the tone pattern. 
     
     
         25 . The method of  claim 24 , wherein the machine learning model is configured to output the predicted tone pattern further based on one or more parameters associated with communications with the network device over a time duration preceding the future time duration. 
     
     
         26 . The method of  claim 23 , wherein the machine learning model is trained using a training dataset, the training dataset including at least one of channel conditions, different tone patterns used for at least one of transmitting or receiving reference signals, measurements made by at least one user equipment (UE) based on the channel conditions and the different tone patterns, or a measured throughput. 
     
     
         27 . The method of  claim 26 , wherein the channel conditions include at least one of indoor channel conditions, outdoor channel conditions, a mobility status of the at least one UE, or multipath channel characteristics. 
     
     
         28 . The method of  claim 16 , wherein the first reference signal is a Channel State Information-Reference Signal (CSI-RS). 
     
     
         29 . The method of  claim 16 , wherein the first reference signal is a Tracking Reference Signal (TRS). 
     
     
         30 . The method of  claim 16 , wherein the first reference signal is a downlink reference signal.