A method and system to determine an adjusted guard interval duration associated with a wireless signal transmitted via a wireless communication link between a first network device and a second network device in a wireless network. The second network device receives a first wireless signal including a first duration of a guard interval from the first network device at a first time. The second network device determines, in view of the set of pilot symbols, a channel impulse response. A channel parameter value is determined based on the channel impulse response. An adjusted guard interval duration corresponding to the channel parameter value is established and used to estimate a second physical rate of the link. The second network device provides a communication identifying the adjusted guard interval duration to the first network device in response to determining the second physical rate is greater than the first physical rate.

Disclosed are techniques for muting positioning reference signals. In aspects, a location server sends, to a user equipment (UE), a plurality of positioning reference signal configurations and one or more positioning reference signal muting configurations associated with a transmission-reception point (TRP) identifier (ID) and/or a positioning reference signal ID. A first TRP sends, to the UE, a command triggering at least one positioning reference signal muting configuration, wherein the triggered positioning reference signal muting configuration indicates that: the one or more positioning reference signals of the one or more positioning reference signal occasions of at least one positioning reference signal configuration are not being transmitted, or the one or more positioning reference signals of the one or more positioning reference signal occasions of all of the plurality of positioning reference signal configurations are not being transmitted, and mutes positioning reference signals according to the triggered positioning reference signal muting configurations.

The disclosure relates to a communication technique that converges a 5G communication system to support a higher data rate after a 4.sup.th Generation (4G) system with Internet of Things (IoT) technology, and a system thereof. The disclosure can be applied to intelligent services (e.g., smart home, smart building, smart city, smart car or connected car, healthcare, digital education, retail, security and safety related services, or the like) based on 5.sup.th Generation (5G) communication technology and IoT related technology. In addition, the disclosure provides a method and an apparatus for reducing user equipment (UE) power consumption in a wireless communication system.

The present disclosure relates to an equalizer training unit for deriving equalization parameters for compensating data-dependent distortion in received samples by use of a training sequence including a sequence p>1 times and cyclically comprising N sub-sequences of respective combinations of L time-domain symbols of a modulation scheme, wherein the N sub-sequences are cyclically arranged in a selected order and such that L−1 symbols of a respective sub-sequence overlap with symbols in the preceding and following sub-sequences. The present disclosure further relates to a training sequence generator unit for generative the training sequence and an equalizer employing the equalizer training unit.

A receiver comprising: a processing module configured to: receive a first portion of a packet of received signalling from a first antenna; receive a carrier estimate signal; adjust the first portion based on the carrier estimate signal and correlate the signal with an expected code sequence to provide a first correlated signal; a tracking module configured to: receive the first correlated signal and update the carrier estimate signal, wherein the processing module is further configured to: receive a second portion of the packet from a second antenna; adjust the second portion based on the carrier estimate signal and correlate the signal to provide a second correlated signal, and wherein the receive path further comprises a phase calculation module configured to: receive the first and second correlated signals and determine a respective first and second carrier phase and an angle of arrival of the received signalling.

Embodiments herein disclose a receiver for performing adaptive equalization of data samples, wherein the receiver comprises an adaptation circuitry and an equalizer coupled to the adaptive circuitry. The adaptive circuitry is configured to estimate a pulse response of a channel, on receiving at least one data sample over the channel, wherein the pulse response of the channel identifies an intersymbol interference (ISI) present on the received at least one data sample. The equalizer is configured to perform equalization of the received at least one data sample by cancelling the identified ISI on the received at least one data sample.

A method of channel estimation for an antenna array is disclosed. The method includes, receiving a signal transmitted by the antenna array, obtaining a neural network model trained for channel estimation using the received signal, inputting a representation of the received signal into the neural network model and generating a channel estimate for the received signal, and deciding whether to employ a further neural network model for the channel estimation.

Embodiments provide a method, apparatus and device of reconstructing non-Kronecker structured channels, applicable to communications. A weight matrix is determined for emulating link characteristics of a reconstructed channel, and includes a weight corresponding to each ray mapped to a probe antenna. In each cluster, rays mapped to each probe antenna have different weights with each other. For each cluster, a time-varying fading channel impulse response of each ray of the cluster mapped to a probe antenna is calculated using the weight matrix. The time-varying fading channel impulse response includes a transition equation for each probe antenna describing mapping of rays of the cluster to the probe antenna. A transition matrix from each probe antenna to receiving antennas of a device under test is determined. A product of the time-varying fading channel impulse response of the cluster multiplied by the transition matrix serves as a channel impulse response of the cluster.

A method for detecting (DET) a signal in a communication system including a plurality of communication channels, from a plurality of noisy values respectively representative of the transmission through the communication channels, is provided. The propagation in the communication channels is characterized by at least one variable. The set of values that can be taken by the variable is divided into a plurality of ranges. The method includes receiving (E4) the signals respectively transmitted in the plurality of communication channels, and detecting (E20) a signal corresponding to a value of the variable lying within one of the plurality of ranges by comparing, with a predetermined threshold, a value taken by a correlator linked to the range in question and calculated as a function of the noisy values. A channel estimation method, a detection device, a channel estimation device and a computer program are also described.

A method performed by a network node for handling channel feature estimates associated with a radio channel between a User Equipment, UE, and the network node in a wireless communications network is provided. The network node obtains a channel feature estimates associated to the radio channel estimated at a first point in time. Data representing the channel feature estimates has a first size. The network node compresses the channel feature estimates at the first point in time by replacing them with updated channel feature estimates that at the subsequent point in time fulfils a respective threshold condition. The data representing the updated channel feature estimates has a second size. The second size is smaller than the first size. The network node then adjusts parameters for a transmission at the radio channel based on the updated channel feature estimates.