Methods, systems, and devices for wireless communications are described. A user equipment (UE) may communicate with a base station by initiating a random access procedure with a two-root preamble. The UE may receive, from the base station, control signaling that indicates a set of root preamble sequences. The UE may transmit, to the base station, a preamble signal that is generated based on a first root preamble sequence and a second root preamble sequence of the set of root preamble sequences. The UE may then monitor for a preamble response based on the preamble signal. In some cases, the base station may be a base station in a terrestrial network. In other cases, the base station may be a satellite in a non-terrestrial network (NTN).

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may transmit a random access preamble to a base station as part of a two-step random access procedure. The UE may generate the preamble by identifying a discrete Fourier transform (DFT) matrix and generating a set of sequences based on the DFT matrix. Each sequence of the set of sequences may be generated by selecting a column of the DFT matrix and performing deterministic sampling of respective entries from the selected column in accordance with a sampling function. The UE may then select a sequence from the set of sequences based on generating the set of sequence. The UE may transmit the selected sequence to a wireless device (e.g., a base station).

The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). A method of determining a frequency-domain offset parameter of a preamble in a random access channel and a corresponding user equipment (UE) is provided. The method includes obtaining a random access channel subcarrier spacing Δf.sub.RA, a preamble length L.sub.RA and a uplink (UL) channel subcarrier spacing Δf from a base station and determining a frequency-domain offset parameter k of a preamble in a random access channel based on the obtained random access channel subcarrier spacing Δf.sub.RA, preamble length L.sub.RA and UL channel subcarrier spacing Δf. Other embodiments of the disclosure further provide a random access method, a method for configuring random access information and related device, and a corresponding computer readable medium.

In accordance with an embodiment, a device configured to detect a presence of at least one digital pattern within a signal includes J memory circuits having respectively Nj memory locations; and processing circuitry comprising an accumulator configured to successively address the memory locations of the J memory circuits in a circular manner at frequency F and during an acquisition time, and successively accumulate and store values indicative of a signal intensity in parallel in the J addressed memory locations of the J memory circuits, and a detector configured to detect the possible presence of the at least one pattern.

Methods and apparatus for preamble detection in a communication network are disclosed. In an exemplary embodiment, a method includes retrieving parameters from a parameter database, filling a buffer of preamble data received in an uplink transmission from user equipment, and frequency shifting the buffer of preamble data based on one or more first parameters to generate frequency shifted data. The method also includes oversampling the frequency shifted data to generates oversampled data, downsampling the over sampled data based on one or more second parameters to generate preamble samples, and updating the parameter database with updated values for the one or more first and second parameters. The method also includes repeating all the operations until a selected amount of preamble samples is obtained.

A converged radio unit (RU) configured for semantic-less retransmissions comprises a radio-frequency machine learning (RFML) radio unit (RFML RU) and a radio-access network (RAN) radio unit (RU). The RFML RU may be configured to receive an RF signal comprising a packet, decode a PHY layer preamble of the packet, and apply a machine-learning (ML) model to information obtained from only the PHY layer preamble to classify the packet. When the packet is classified be a tactical data link (TDL) packet based on the information obtained only from the PHY layer preamble, the RFML RU may retransmit the packet. When the packet is classified a RAN protocol packet, the RFML RU may be configured to signal the RAN RU to process the RAN protocol packet in accordance with a RAN protocol.

A radio network node, e.g. an Access Point, and wireless devices are comprised in a Wireless Local Area Network. The radio network node is configured to: Identify wireless devices associated with common properties of one or more predetermined property types. Obtain data intended for transmission to the identified wireless devices, where different parts of the data is intended for transmission to different wireless devices. Form a single data packet based on said common properties and comprising the obtained data. The single data packet is associated with a packet type directed to deliver data to only a single wireless device. Transmit the single data packet on a communication channel being accessed by all of the identified wireless devices.

A technique includes receiving, by a user device from a base station in a wireless network, a frequency offset information (FOI), adjusting, by the user device, an uplink transmit frequency based on the frequency offset information, and transmitting, by the user device, at least one of data and control information to the base station based on the adjusted uplink transmit frequency.

Methods and system for carrier frequency offset (CFO) estimation are described. The method includes determining correlation values between a plurality of samples from a received signal and a plurality of reference signals corresponding to a plurality of CFO candidates. A set of correlation values which exceeds a threshold is determined and a corresponding CFO candidate for each correlation value in the set is selected. A CFO estimate based on an interpolation of selected CFO candidates is then calculated.

In accordance with an embodiment, a device configured to detect a presence of at least one digital pattern within a signal includes J memory circuits having respectively Nj memory locations; and processing circuitry comprising an accumulator configured to successively address the memory locations of the J memory circuits in a circular manner at frequency F and during an acquisition time, and successively accumulate and store values indicative of a signal intensity in parallel in the J addressed memory locations of the J memory circuits, and a detector configured to detect the possible presence of the at least one pattern.