Qualcomm Incorporated

Abhinav Sridhar

Alexei Yurievitch Gorokhov

Ashok Mantravadi

Hari Sankar

Paolo Minero

Jae Won Yoo

Yongle Wu

Tae Min Kim

Aaron Klein

Shriram Swaminathan

Weng Chon Ao

Gi Hong Song

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may measure a first energy level of a demodulation reference signal (DMRS). The UE may measure a second energy level of at least one of a tracking reference signal (TRS) or a synchronization signal block (SSB). The UE may determine, based at least in part on the first energy level and the second energy level, a DMRS signal-to-noise ratio (SNR). The UE may perform, based at least in part on the DMRS SNR, channel estimation for a physical channel associated with a communication to determine an estimated channel. The UE may perform, based at least in part on the estimated channel, demodulation processing for the communication. Numerous other aspects are described.

Techniques for demodulation reference signal based signal-to-noise ratio for demodulation processing

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may determine an actual power delay profile (PDP) associated with a channel between the UE and a base station, wherein the actual PDP indicates an averaged power level of the channel over a period of time. The UE may determine whether a channel estimation mode switching event is satisfied. The UE may switch, based at least in part on the channel estimation mode switching event being satisfied, between a first channel estimation mode based at least in part on the actual PDP and a second channel estimation mode based at least in part on a template PDP. Numerous other aspects are described.

Switching between channel estimation modes at a user equipment

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a wireless communication device may determine, based at least in part on two or more measurements on a channel taken at different points in time, that the channel is classified as static. The wireless communication device may perform at least one optimization based at least in part on determining that the channel is classified as static. For example, the at least one optimization may include modifying a channel state feedback procedure, reducing a periodicity associated with a measurement gap, modifying a filtering associated with measurements of the channel, reducing a threshold associated with beam switching, and/or refraining from performing at least one filtering at a radio frequency receiver of the wireless communication device. Numerous other aspects are described.

Detecting static channels

Certain aspects of the present disclosure generally relate to techniques for encoding, generally including obtaining a payload, determining a set of internal nodes to distribute one or more non-payload bits to based, at least in part, on a target maximum likelihood (ML) search space size for internal nodes in a polar decoding tree, a search space size of each of the internal nodes, and an available number of the non-payload bits left to distribute, forming an information stream by interleaving the non-payload bits with bits of the payload by, for each internal node in the set of internal nodes, assigning one or more non-payload bits to one or more leaf nodes in a subtree rooted at that internal node in the set of internal nodes, and generating a codeword by encoding the information stream using a Polar code.

Reducing the search space of maximum-likelihood decoding for polar codes

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Branchburg, NJ, United States of America

Abhinav Sridhar