Abstract:
The various embodiments include methods and apparatuses for canceling nonlinear interference during concurrent communication of multi-technology wireless communication devices. Nonlinear interference may be estimated using a multilayer perceptron neural network with Hammerstein structure by dividing an aggressor signal into real and imaginary components, augmenting the components by weight factors, executing a linear combination of the augmented components, and executing a nonlinear sigmoid function for the combined components at a hidden layer of multilayer perceptron neural network to produce a hidden layer output signal. At an output layer, hidden layer output signals may be augmented by weight factors, and the augmented hidden layer output signals may be linearly combined to produce real and imaginary components of an estimated jammer signal. A linear filter function may be executed for the components of the jammer signal, and to produce a nonlinear interference estimate used to cancel the nonlinear interference of a victim signal.
Abstract:
The various embodiments include methods and apparatuses for canceling nonlinear interference during concurrent communication of multi-technology wireless communication devices. Nonlinear interference may be estimated using a radial basis function neural network with Hammerstein structure by executing a radial basis function on aggressor signals at a hidden layer of the radial basis function neural network with Hammerstein structure to obtain hidden layer outputs, augmenting aggressor signal(s) by weight factors and, executing a linear combination of the augmented output, at an intermediate layer to produce a combined hidden layer outputs. At an output layer, a linear filter function may be executed on the hidden layer outputs to produce an estimated nonlinear interference used to cancel the nonlinear interference of a victim signal.
Abstract:
The various embodiments include methods and apparatuses for canceling nonlinear interference during concurrent communication of multi-technology wireless communication devices. Nonlinear interference may be estimated using a block least squares function interference filter by generating aggressor kernel matrices from the aggressor signals, augmenting the aggressor kernel matrices by weight factors and executing a linear combination of the augmented output, at an intermediate layer to produce intermediate layer outputs. At an output layer, a linear filter function may be executed on the intermediate layer outputs to produce an estimated nonlinear interference used to cancel the nonlinear interference of a victim signal.
Abstract:
A process of wireless communication for obtaining channel quality information alignment includes predicting a channel state of a future downlink subframe of a signal. The process also includes providing a base station with a set of parameters based on the predicted channel state. For example, a user equipment (UE) can obtain a recommended transport block size (RTBS) from the predictor process, and return the RTBS to the base station as one of the set of parameters.
Abstract:
This disclosure provides systems, methods and apparatus for finite rate of innovation channel estimation. In one aspect an apparatus for equalizing received signals is provided. The apparatus comprises a signal per-processing unit configured to process received pilot signals transmitted through a sparse channel into at least one composite signal. The at least one composite signal further includes a plurality of signal peaks. The apparatus further comprises a Fourier transform unit configured to transform the at least one composite signal into frequency-domain data and a channel estimation unit configured to estimate at least one delay value and at least one peak value from the frequency-domain data.
Abstract:
The present disclosure presents methods and apparatuses for enhanced received signal processing using signal-based channel impulse response (CIR) estimation. For example, according to an example method presented herein, a user equipment (UE) or a component therein may receive a signal corresponding to a transmitted signal sent by a network entity, wherein the transmitted signal comprises at least a data channel, estimate chip contents of the transmitted signal, based on the received signal including the data channel, to obtain estimated chip contents, and compute an estimated channel impulse response (CIR) based on at least the estimated chip contents. Based on this estimated CIR, the UE may thereafter reprogram a received signal reconstruction filter, perform interference cancelation procedures, and/or adjust one or more equalizer taps. By performing such functions, the UE may exhibit improved communication characteristics and enable a more robust user experience.
Abstract:
The various embodiments include methods and apparatuses for canceling nonlinear interference during concurrent communication of multi-technology wireless communication devices. Nonlinear interference may be estimated using a multi-model radial basis function neural network with Hammerstein structure by executing a radial basis function on aggressor signals at a hidden layer of the radial basis function neural network with Hammerstein structure to obtain hidden layer outputs, augmenting aggressor signal(s) by weight factors, infusing the hidden layer outputs by infusion factors, and, executing a linear combination of the augmented output, at an intermediate layer to produce a combined hidden layer outputs. At an output layer, a linear filter function may be executed on the hidden layer outputs to produce an estimated nonlinear interference used to cancel the nonlinear interference of a victim signal.
Abstract:
Methods and apparatus for managing interference are described and may include updating a covariance inverse value of a linear function to remove an effect on the linear function of a first set of channels associated with a first network entity, wherein the first set of channels are cancelled in response to performing a first cancellation procedure. Methods and apparatus for managing interference may further include performing a second cancellation procedure to cancel a second set of channels associated with a second network entity based at least in part on the updated covariance inverse value of the linear function.
Abstract:
The present disclosure presents methods and apparatuses for enhanced received signal processing using signal-based channel impulse response (CIR) estimation. For example, according to an example method presented herein, a user equipment (UE) or a component therein may receive a signal corresponding to a transmitted signal sent by a network entity, wherein the transmitted signal comprises at least a data channel, estimate chip contents of the transmitted signal, based on the received signal including the data channel, to obtain estimated chip contents, and compute an estimated channel impulse response (CIR) based on at least the estimated chip contents. Based on this estimated CIR, the UE may thereafter reprogram a received signal reconstruction filter, perform interference cancellation procedures, and/or adjust one or more equalizer taps. By performing such functions, the UE may exhibit improved communication characteristics and enable a more robust user experience.
Abstract:
A process of wireless communication for obtaining channel quality information alignment includes predicting a channel state of a future downlink subframe of a signal. The process also includes providing a base station with a set of parameters based on the predicted channel state. For example, a user equipment (UE) can obtain a recommended transport block size (RTBS) from the predictor process, and return the RTBS to the base station as one of the set of parameters.