Abstract:
Accurate downlink channel estimates are calculated based on infrequently transmitted Channel State Information (CSI) feedback data from a UE 20. A plurality of non-uniformly spaced digital CSI feedback samples, representing the frequency response of a downlink communication channel, is received from the UE. The received CSI feedback samples are demodulated and inverse quantized. A time domain tap delay channel model is generated from the inverse quantized CSI feedback samples. The time domain tap delay channel model may be frequency-transformed to obtain a reconstructed frequency response of the downlink communication channel in the frequency domain. Alternatively, channel delays may be estimated based on prior delays and/or known references signals transmitted on the uplink. Channel estimates between CSI reporting instances may be predicted, such as by a sample & hold or a linear predictor. The delays may be presumed fixed, and Kalman filter coefficients evolved over time.
Abstract:
A system comprises a communication device that chooses a parameter setting from a set of available parameter settings. The system may include multiple communication devices, and each available parameter setting may have an associated cost. The communication device may receive parameter setting information from one or more other communication devices in the system, and the parameter setting information may identify the parameter setting being used by the one or more communication devices in the system. The communication device may choose a parameter setting that is associated with the lowest cost based on the parameter setting information received from the one or more other communication devices in the system.
Abstract:
Demodulation methods and apparatus for a multi-stage SLI demodulator are disclosed. Residual signals from each demodulation stage are modeled as finite sets of unresolved signals and a new metric is introduced for use in search of best candidate symbol estimates. The metric may be evaluated based on a probability distribution function of the residual signals or a probability mass function of the unresolved signals. The metric may also be approximated by the sum of a conventional Euclidean metric and a correction metric. The best candidate symbol estimates generated from each stage of the multi-stage SLI demodulator are summed to form cumulative symbol estimates.
Abstract:
Methods and systems are disclosed for transmitting data over a desired frequency tone in the presence of an interference that has an unknown magnitude that is substantially constant. In general, data symbols are transmitted in a null space of the desired frequency tone. The null space of the desired frequency tone is orthogonal to the desired frequency tone. As such, the data symbols transmitted in the null space of the desired frequency tone are not interfered with by the interference at the desired frequency tone regardless of the magnitude of the interference. The data symbols transmitted in the null space of the desired frequency tone can then be recovered by a receiver without estimation of or compensation for the interference at the desired frequency tone.
Abstract:
Systems and methods utilize enhanced metrics for demodulation and/or soft bit information generation in the presence of a non-constant envelope modulated interfering signal. In one embodiment, a receiver includes a downconverter and a demodulator. The downconverter receives a radio frequency signal comprising a desired signal, noise, and a non-constant envelope modulated interfering signal, and downconverts the radio frequency signal to provide a downconverted signal. The demodulator demodulates the downconverted signal based on a demodulation metric that models the non-constant envelope modulated interfering signal as a stationary non-Gaussian random process with a probability distribution derived from a modulation constellation of a modulation used for the non-constant envelope modulated interfering signal. In one embodiment, the demodulator outputs demodulated symbols. In another embodiment, the demodulator outputs soft bit information.
Abstract:
Methods may be provided to transmit data from a wireless terminal operating in a radio access network. For example, sampling rate conversion may be performed on a serial stream of modulation symbols to generate sampling rate converted symbols, and the sampling rate converted symbols may be transmitted over a wireless channel to a node of the radio access network. Related terminals are also discussed.
Abstract:
A voice call network node communicates advertisements to user terminals of a telecommunications system. The voice call network node includes a voice call handling component and an advertisement insertion component. The voice call handling component responds to a voice call from a caller user terminal by identifying characteristics of the caller user terminal and/or the callee user terminal. The advertisement insertion component communicates voice call profile information through a network to an advertisement service offering node. The voice call profile information identifies characteristics of the caller user terminal and/or the callee user terminal The advertisement insertion component also receives an advertisement from the advertisement service offering node responsive to the communicated voice call profile information, and communicates the advertisement to the caller user terminal and/or to the callee user terminal Related advertisement service offering nodes and user terminals are disclosed.
Abstract:
Systems and methods utilize enhanced metrics for demodulation and/or soft bit information generation in the presence of a non-constant envelope modulated interfering signal. In one embodiment, a receiver includes a downconverter and a demodulator. The downconverter receives a radio frequency signal comprising a desired signal, noise, and a non-constant envelope modulated interfering signal, and downconverts the radio frequency signal to provide a downconverted signal. The demodulator demodulates the downconverted signal based on a demodulation metric that models the non-constant envelope modulated interfering signal as a stationary non-Gaussian random process with a probability distribution derived from a modulation constellation of a modulation used for the non-constant envelope modulated interfering signal. In one embodiment, the demodulator outputs demodulated symbols. In another embodiment, the demodulator outputs soft bit information.
Abstract:
A system and method to perform Full Duplex (FD) Space Division Duplex (SDD) communication using a Self-Interference Cancelling (SIC) precoder that applies different antenna phase shifts and amplitude scales to the transmitted signals to force them to be in the null space of the selected receive antennas. Thus, a wireless communication unit can place nulls at each of its receive antennas digitally at baseband for one or more frequency bands. The SIC precoder may be computed based on the self-interference channel from the transmit chain(s) to the receive chain(s). Different SIC precoders may be adaptively selected and stored digitally for different frequency bands. Subsequent single or multi-user precoder can be applied in concatenation with the SIC precoder to transmit signals to one or more users while receiving signals from one or more users simultaneously over the same frequency band.
Abstract:
A system comprises a communication device that chooses a parameter setting from a set of available parameter settings. The system may include multiple communication devices, and each available parameter setting may have an associated cost. The communication device may receive parameter setting information from one or more other communication devices in the system, and the parameter setting information may identify the parameter setting being used by the one or more communication devices in the system. The communication device may choose a parameter setting that is associated with the lowest cost based on the parameter setting information received from the one or more other communication devices in the system.