H04L25/0236

Method of interference cancellation and method of detection of erroneous neighbour cell measurements
09706458 · 2017-07-11 · ·

Methods of interference cancellation are provided. Channel estimation is performed with or without interference cancellation. Methods of detection of erroneous neighbor cell measurements are provided. The channel estimates for neighbor cells are processed to identify unreliable measurements.

Systems and methods for advanced iterative decoding and channel estimation of concatenated coding systems

Systems and methods for decoding block and concatenated codes are provided. These include advanced iterative decoding techniques based on belief propagation algorithms, with particular advantages when applied to codes having higher density parity check matrices such as iterative soft-input soft-output and list decoding of convolutional codes, Reed-Solomon codes and BCH codes. Improvements are also provided for performing channel state information estimation including the use of optimum filter lengths based on channel selectivity and adaptive decision-directed channel estimation. These improvements enhance the performance of various communication systems and consumer electronics. Particular improvements are also provided for decoding HD radio signals, satellite radio signals, digital audio broadcasting (DAB) signals, digital audio broadcasting plus (DAB+) signals, digital video broadcasting-handheld (DVB-H) signals, digital video broadcasting-terrestrial (DVB-T) signals, world space system signals, terrestrial-digital multimedia broadcasting (T-DMB) signals, and China mobile multimedia broadcasting (CMMB) signals. These and other improvements enhance the decoding of different digital signals.

Receiver for and method of receiving symbols over time varying channels with Doppler spread

A near-optimal Karhunen-Loeve basis expansion modeling (KL-BEM) orthogonal time frequency space (OTFS) receiver with superimposed pilots has been proposed for high-mobility communications with Doppler spread channel. First, an initial KL-BEM channel estimation is conducted by superimposed pilots, followed by the removal of superimposed pilots from the received OTFS signal and equalisation by message passing (MP) algorithm. After that, the detected data symbols are utilized as pseudo pilots along with the superimposed pilots to refine both KL-BEM channel estimation and equalisation in an iterative manner. Simulation results confirm the superior performance of the proposed KL-BEM OTFS receiver over the prior art in terms of the mean-square-error (MSE) of channel estimation and bit error rate (BER). It also has a close BER performance to the BER lower bound obtained by assuming perfect channel estimation. It contributes to high spectral efficiency and fast convergence performance.

Pilot symbol generation for highly-spectrally-efficient communications
09577786 · 2017-02-21 · ·

A transmitter may be operable to generate a sequence of symbols which may comprise information symbols and one or more pilot symbols. The transmitter may transmit the information symbols at a first power and transmit the one or more pilot symbols at a second power. In instances when a particular performance indicator is below a determined threshold, the first power may be set to a first value and the second power may be set to zero value. In instances when the particular performance indicator is above the determined threshold, the first power may be set to a second value and the second power may be set to a non-zero value. A value of the first power and a value of the second power may be based on an applicable average power limit determined by a communications standard with which the transmitter is to comply.

PHASE NOISE ESTIMATION

Methods, systems, devices, and apparatuses are described for phase noise estimation. A transmitting device identifies a phase noise metric associated with a receiving device. The phase noise metric provides an indication of the expected phase noise for the receiving device. The transmitting device selects a plurality of pilot tones adjacent to each other and a plurality of null tones for a transmission to the receiving device based on the phase noise metric. The plurality of null tones may be adjacent to and on both sides of the pilot tones in the frequency domain. The transmitting device identifies its own phase noise metric and select the pilot tones adjacent to each other and plurality of null tones in further consideration of its own phase noise metric. The receiving device may use the pilot tones and plurality of adjacent null tones to determine a phase noise estimation for the transmission.

Data-aided channel tracking for OFDM systems

A system and a method are disclosed for performing data-aided channel tracking for a subcarrier, including obtaining a reference channel estimate (CE) at a first time instance using a reference signal; determining, based on the obtained reference CE and based on received data symbols, a data-aided CE at a second time instance that is subsequent to the first time instance; and sequentially determining one or more additional data-aided CEs, for one or more time instances subsequent to the second time instance, based on a data-aided CE obtained at a previous time instance and based on the received data symbols.

Channel estimate under non-uniform reference signal pattern

Reference signals may not uniformly span over time and/or frequency on a resource unit. For example, reference signals may non-uniformly occupy symbols of a subframe. Alternatively, reference signals normally transmitted over certain tones of a subframe may have to be punctured to avoid collisions with a PSS and/or SSS transmitted over the same tones. Consequently, a UE may only be able to use a subset of reference signal tones for performing channel estimation. Accordingly, a method, an apparatus, and a computer program product for wireless communication are provided for improving channel estimation under a non-uniform signal pattern. The apparatus indicates to a UE to utilize a subset of reference signals to derive a channel estimate for demodulating data in a specific subframe, and transmits a plurality of subframes, the plurality of subframes including the reference signals and the specific subframe, the specific subframe including a PSS and/or SSS.

METHOD OF INTERFERENCE CANCELLATION AND METHOD OF DETECTION OF ERRONEOUS NEIGHBOUR CELL MEASUREMENTS
20170006511 · 2017-01-05 · ·

Methods of interference cancellation are provided. Channel estimation is performed with or without interference cancellation. Methods of detection of erroneous neighbor cell measurements are provided. The channel estimates for neighbour cells are processed to identify unreliable measurements.

SYSTEM AND METHOD FOR BLIND CHANNEL ESTIMATION AND COHERENT DIFFERENTIAL EQUALIZATION IN AN ORTHOGONAL FREQUENCY DIVISION MULTIPLEXING (OFDM) RECEIVER
20250233777 · 2025-07-17 ·

In one aspect, an apparatus includes: a fast Fourier transform (FFT) engine to receive and convert a plurality of orthogonal frequency division multiplexing (OFDM) samples into a plurality of frequency carriers; a detector coupled to the FFT engine to determine a channel estimate for a first frequency carrier using a first channel estimate for the first frequency carrier and a plurality of other channel estimates, each of the plurality of other channel estimates for one of a plurality of neighboring frequency carriers within an evaluation window, and determine a log likelihood ratio (LLR) for the first frequency carrier using the channel estimate for the first frequency carrier; and a decoder coupled to the detector to decode a first OFDM symbol comprising the first frequency carrier using the LLR for the first frequency carrier.

DEVICES, SYSTEM, AND METHODS FOR JOINT COMMUNICATIONS AND SENSING

This disclosure relates to joint communications and sensing. A system is disclosed and comprises a first AP as a sensing AP, a second AP as a communications AP, and a network device as a controller. The communications AP and the sensing AP both receive an uplink signal from a UE. The communications AP is configured to send a processed form of the signal to the controller. The controller then provides the processed form of the signal (e.g. the decoded payload) to the sensing device. The sensing AP performs channel estimation based on the processed form of the signal and the received uplink signal. A result of the channel estimation may be provided by the sensing AP to the controller for monitoring the UE or the environment. In this way, sensing with zero wireless communications cost can be achieved.