Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a base station (BS) may transmit a first set of synchronization signal block (SSB) burst sets with a first set of SSB parameters; and transmit a second set of SSB burst sets with a second set of SSB parameters, wherein the first set of SSB burst sets and the second set of SSB burst sets are transmitted in a common carrier. In some aspects, a user equipment (UE) may receive at least one SSB of the first set of SSB burst sets or the second set of SSB burst sets. Numerous other aspects are provided.

The present invention improves reception characteristics of a receiving apparatus based on OFDM. The receiving apparatus includes: a window timing selection unit that determines Fourier transform window start and end timings for a received signal(s) based on OFDM, based on a signal-to-interference power ratio and signal power in a Fourier transform window; and a Fourier transform unit that performs Fourier transform on the received signal(s) in accordance with the Fourier transform window start and end timings outputted by the window timing selection unit.

Methods and an apparatus are provided. A first method includes receiving an estimated first arrival path (FAP); processing the estimated FAP; providing a rounding operation on the processed estimated FAP to generate an adjustment value for adjusting a fast Fourier transform (FFT) window; determining a quantization error based on the processed estimated FAP; and summing the quantization error to the processed estimated FAR A second method includes receiving an estimated FAP; determining a weighted average of the estimated FAP; processing the weighted average of the estimated FAP; providing a rounding operation on the processed weighted average of the estimated FAP to generate an adjustment value for adjusting an FFT window; determining a delayed STR adjustment based on the processed weighted average of the estimated FAP in a previous time slot; and summing the delayed STR adjustment to the processed weighted average of the estimated FAP in a current time slot.

A transmitter transmitting payload data using Orthogonal Frequency Division Multiplexed (OFDM) symbols, including: a frame builder configured to receive the payload data and to receive signalling data to use in detecting and recovering the payload data at a receiver, and to form the payload data with the signalling data into frames for transmission: a modulator configured to modulate a first OFDM symbol with the signalling data and to modulate one or more second OFDM symbols with the payload data; a signature sequence processor circuit providing a signature sequence; a combiner circuit combining the signature sequence with the first OFDM symbol; a prefixing circuit prefixing a guard interval to the first OFDM symbol to form a preamble; and a transmission circuit transmitting the preamble and the one or more second OFDM symbols. The guard interval is formed from time domain samples of a part of the signature sequence.

Disclosed are techniques related to wireless communication. In an aspect, a sequence generating entity factorizes a comb size N into prime factors of N, and generates one or more offset sequences for a reference signal for positioning based on one or more sequence lists associated with the prime factors of N and a number of symbols M over which the reference signal is scheduled.

A method for initial timing synchronization for a WTRU to communicate with a network includes receiving an in-channel narrowband synchronization sequence from the network to enable initial coarse timing synchronization, determining coarse timing offset and a range between a beam source of a network transmitter and the WTRU, selecting a wideband sequence for fine timing synchronization using the estimated range, transmitting the selected wideband sequence for fine timing synchronization during an uplink timing occasion, receiving from the network a transmission of the selected wideband sequence for fine timing synchronization, and establishing fine timing synchronization between the WTRU and the network using the selected sequence.

Methods and an apparatus are provided. A method includes generating an intermediate symbol time recovery (STR) adjustment based on a difference between an estimated first arrival path (FAP) and an FAP offset and generating an accumulated STR adjustment based on at least the intermediate STR adjustment and a feedback STR adjustment.

Methods, systems, and devices for wireless communications are described. Aspects of the present disclosure describe a quick scanning method to reject global synchronization channel numbers (GSCNs) that do not include a synchronization signal block (SSB). The quick scanning method utilizes down-sampling techniques to reduce complexity associated with scanning many GSCNs for an SSB. For example, a user equipment (UE) may down-sample a signal to obtain a coarse signal subset (e.g., by using coarse bin sizes, sampling a portion of symbols). The UE may perform a fast Fourier Transform, along with one or more data processing techniques, to obtain a spectrogram corresponding to the signal. While the spectrogram may represent the signal in the frequency domain with reduced resolution, and may include energy information corresponding to different frequencies. The UE may utilize the spectrogram to examine frequencies corresponding to GSCNs to detect if an SSB is present.

Disclosed are techniques for wireless communication. In an aspect, a wireless device determines a symbol configuration for transmission of SC-FDE waveform with zero gaps arranged between a communication channel part, RS part, and CP part. The SC-FDE waveform is transmitted to another wireless device, which processes the SC-FDE waveform.

A method may include generating an estimated time offset based on a reference signal in a communication system, and adjusting a transform window in the communication system based on the estimated time offset, wherein the estimated time offset is generated based on machine learning. Generating the estimated time offset may include applying the machine learning to one or more channel estimates. Generating the estimated time offset may include extracting one or more features from one or more channel estimates, and generating the estimated time offset based on the one or more features. Extracting the one or more features may include determining a correlation between a first channel and a second channel. The correlation may include a frequency domain correlation between the first channel and the second channel. Extracting the one or more features may include extracting a subset of a set of features of the one or more channel estimates.