Abstract:
System(s) and method(s) are provided for generating phase-noise resilient channel quality indicator(s). A pilot signal utilized to determine a channel quality indicator is rotated to be aligned to a phase reference signal. Separate noise evaluations in quadrature and in-phase directions are utilized, at least in part, to generate a net noise estimate that is phase-noise compensated or resilient. For example, various combination schemes of quadrature and in-phase noise evaluations can be exploited to generate a net noise estimate, the schemes include weighted average of in-phase and quadrature noise estimates and running averages thereof. Simulation of net noise estimates as a function of geometry conditions reveal that the combination schemes provide substantive mitigation of phase-noise, thus making CQI generation phase-noise resilient.
Abstract:
Certain aspects provide a method for determining decoding order and reconstruction weights for decoded streams to be cancelled in a MIMO system with successive interference cancellation, based on estimates of the channel characteristics, the received composite signal and parameters of the system.
Abstract:
A method for using a joint decoding engine in a wireless device is disclosed. A first symbol stream and a second symbol stream in a received multiple input multiple output (MIMO) signal is determined. A scaled channel estimate for a wireless transmission channel and a scaled noise covariance of the MIMO signal are also determined. The scaled channel estimate and the first symbol stream are whitened. Max log maximum a posteriori (MLM) processing is performed on the whitened first symbol stream to produce a first data stream. The first data stream may be de-rate matched and decoded to produce a decoded first data stream.
Abstract:
Methods and apparatus for receiving, processing, and decoding MIMO transmissions in communications systems are described. A non-Gaussian approximation method for simplifying processing complexity where summations are used is described. Use of a priori information to facilitate determination of log likelihood ratios (LLRs) in receivers using iterative decoders is further described. A Gaussian or non-Gaussian approximation method using a priori information may be used to determine a K-best list of values for summation to generate an LLR is also described.
Abstract:
A method for optimizing throughput in a wireless communication system is disclosed. A target metric is estimated based on previous acknowledgment data. A channel quality indicator offset is determined based on the target metric. A channel quality indicator is adjusted based on the channel quality indicator offset. The channel quality indicator indicates the quality of a wireless transmission channel.
Abstract:
Certain aspects provide a method for determining decoding order and reconstruction weights for decoded streams to be cancelled in a MIMO system with successive interference cancellation, based on estimates of the channel characteristics, the received composite signal and parameters of the system.
Abstract:
Various embodiments are disclosed which predict the channel quality indicator (CQI) in High Speed Downlink Packet Access (HSDPA). The accuracy of CQI is crucial for HSDPA performance. In some HSDPA systems the CQI may be as much as three (3) subframes stale. Accordingly, the prediction of CQI values is required in order to efficiently schedule data for transmission over the communication channel. Various embodiments disclose first order adaptive IIR filters which are significantly less complex than the finite impulse response (FIR) counterparts and achieve similar accuracy. By minimizing the mean squared error (MSE), an exact gradient descent algorithm may be used as well as two embodiment pseudolinear regression algorithms.
Abstract:
Various embodiments are disclosed which predict the channel quality indicator (CQI) in High Speed Downlink Packet Access (HSDPA). The accuracy of CQI is crucial for HSDPA performance. In some HSDPA systems the CQI may be as much as three (3) subframes stale. Accordingly, the prediction of CQI values is required in order to efficiently schedule data for transmission over the communication channel. Various embodiments disclose first order adaptive IIR filters which are significantly less complex than the finite impulse response (FIR) counterparts and achieve similar accuracy. By minimizing the mean squared error (MSE), an exact gradient descent algorithm may be used as well as two embodiment pseudolinear regression algorithms.
Abstract:
System(s) and method(s) are provided for generating phase-noise resilient channel quality indicator(s). A pilot signal utilized to determine a channel quality indicator is rotated to be aligned to a phase reference signal. Separate noise evaluations in quadrature and in-phase directions are utilized, at least in part, to generate a net noise estimate that is phase-noise compensated or resilient. For example, various combination schemes of quadrature and in-phase noise evaluations can be exploited to generate a net noise estimate, the schemes include weighted average of in-phase and quadrature noise estimates and running averages thereof. Simulation of net noise estimates as a function of geometry conditions reveal that the combination schemes provide substantive mitigation of phase-noise, thus making CQI generation phase-noise resilient.
Abstract:
A method for optimizing throughput in a wireless communication system is disclosed. A target metric is estimated based on previous acknowledgment data. A channel quality indicator offset is determined based on the target metric. A channel quality indicator is adjusted based on the channel quality indicator offset. The channel quality indicator indicates the quality of a wireless transmission channel.