Qualcomm Incorporated

Je Woo Kim

Jong Hyeon Park

Ju Won Park

Tae Ryun Chang

Matthias Brehler

Bok Tae Sim

Madihally J Narasimha

Junqiang Li

Sameer Nanavati

Brian Clarke Banister

Ayman Fawzy Naguib

Serguei A Glazko

Peter J Black

Parag Arun Agashe

Qiang Wu

Roberto Padovani

Yeliz Tokgoz

Pranav Dayal

Youngjae Kim

Feng Lu

Chun Woo Lee

Prashant Udupa Sripathi

Wanlun Zhao

James Young Hurt

Stephen William Edge

Michael Lee McCloud

Nitin Kasturi

Nate Chizgi

Sharif Ahsanul Matin

Yuanning Yu

Jittra Jootar

Sagar Shah

Naga Bhushan

Vincent Knowles Jones, Iv

Sitaramanjaneyulu Kanamarlapudi

Inyup Kang

Parvathanathan Subrahmanya

Vincent K Jones

Albert Van Zelst

Messay Amerga

Jeremy M Stein

Harish Venkatachari

Lei Xiao

Aditya Dua

Doo Seok Kim

Remi Jonathan Gurski

Jong Ro Park

Allert Van Zelst

Chulong Chen

Jimmy Chi-Wai Chui

Hyung Jin Choi

Ravi Gopalan

Mahesh A Makhijani

Peter John Black

Se Bin Im

Rajat Sharma

Venkata Srihari Inampudi

Kyung Sup Han

Oleksandr Sulima

Chae Kwan Lee

Srivatsan Rajagopalan

Dineshkumar Karuppanna Gounder Ramasamy

Sungjun Hwang

Volodymyr Rakytyanskyy

Sagar Bharatkumar Shah

James Y Hurt

Parag A Agashe

Stephen W Edge

Methods and apparatus are described for performing cell selection for reducing an initial acquisition time between a user equipment (UE) and a network entity, comprising measuring a signal from a cell, the signal including at least one system information block (SIB), wherein the at least one SIB includes a plurality of cell selection threshold values; attempting to decode the at least one SIB; determining, in response to successfully decoding the at least one SIB, whether one or more measurements of the signal pass or fail a cell selection criteria check that includes the plurality of cell selection threshold values; determining, in response to the cell selection criteria check failing, whether the plurality of cell selection threshold values are within range of a plurality of corresponding minimum network threshold values; and performing a cell selection procedure on the cell in response to determining that the plurality of cell selection threshold values are within range of the plurality of corresponding minimum network threshold values.

Faster cell selection

Methods and apparatus for processing data received at a user equipment comprises determining a protocol data unit (PDU)-specific Layer 1 decoding metric of a Layer 1 decoded PDU. The methods and apparatus further comprises determining whether to perform a Layer 2 decoding of the Layer 1 decoded PDU based on the PDU-specific Layer 1 decoding metric.

Apparatus and methods of processing a protocol data unit

Briefly, in accordance with one embodiment, a method of transmitting signals is provided. Signal waveforms are transmitted from at least two respective sectors. The at least two respective sectors are from at least two different sets of a superset of sectors. The transmitted signal waveforms include signal waveforms at least nearly mutually orthogonal at least along a particular signal dimension. An advantage of such an embodiment, for example, is reduced signal interference.

Positioning using enhanced pilot signal

Aspects of the methods and apparatus relate to performing user equipment (UE) only discontinuous transmission (DTX) smart blanking. One aspect of the methods and apparatus include maintaining a list of voice configurations that would trigger user equipment (UE) discontinuous transmission (DTX). Further, the aspect includes receiving a current voice configuration for the UE from a network, and determining whether the current voice configuration of the UE received from the network falls within the list of voice configurations that would trigger UE DTX. Further, the aspect includes enabling uplink UE DTX at the UE when the current voice configuration of a UE falls within the list of voice configurations.

Method and apparatus for UE-only discontinuous-TX smart blanking

Enhanced pilot signal

Providing for reduced complexity or improved accuracy in de-mapping received wireless data streams for multi-channel wireless communication is described herein. By way of example, a low-complexity likelihood algorithm can be employed to de-map data bits from the wireless data streams. In one particular example, the likelihood algorithm can approximate a received bit with a subset of received wireless symbols correlated the bit, reducing algorithm complexity. In other examples, a limited set of received wireless symbols can be employed for the subset, further reducing algorithm complexity. According to at least one other example, logarithmic terms of the algorithm can be approximated with non-logarithmic functions, such as a look-up table, series expansion, polynomial approximation, or the like. These approximations can enhance symbol de-mapping accuracy while maintaining or improving processing overhead for a wireless receiver.

Multi-term demapping for multi-channel wireless communication

A method of wireless communication with improved performance employs an equalizer receiver with multiple receive antennas. Equalizer taps for linear filters of the equalizer receiver are generated by determining a conditioned covariance matrix of a first data path and a second data path based on a first gain (g) of this first data path and a second gain (g) of the second data path. The equalizer taps of the first data path and the second data path are determined based on the conditioned covariance matrix. The first data path and the second data path are then equalized using the equalizer taps. An equalized signal is generated by combining the equalized first data path with the equalized second data path.

Adaptive covariance matrix conditioning for a linear equalizer with receive diversity

A method and apparatus for channel estimation in wireless communications are provided. After an initial channel estimation and an estimation of the effective channel length (ECL) are performed, a weighting based on the ECL may be applied in an effort to remove noise from the initial channel estimate and provide an estimated channel with increased accuracy. Different weightings may apply for different channel lengths. A threshold may be used during the ECL estimation, and the threshold may be predetermined or calculated in an effort to adapt to different channel environments.

Methods and systems for effective channel estimation in OFDM systems

A method and apparatus for decoding of tailbiting convolutional codes (TBCC) are disclosed. The proposed modified maximum-likelihood TBCC decoding technique preserves error correction performance of optimal maximum-likelihood based TBCC decoding, while the computational complexity is substantially decreased since a reduced number of decoding states has been evaluated. Compare to other sub-optimal TBCC decoding algorithms, modified maximum-likelihood TBCC decoding achieves improved packet error rate performance with similar computational complexity.

Methods and systems for modified maximum-likelihood based TBCC decoding

The described aspects include a user equipment (UE) apparatus and corresponding method of equalizing samples of received signals in wireless communication. A plurality of samples of a signal received in wireless communication can be obtained, and on-time samples and late samples of the plurality of samples are independently equalized to respectively generate equalized on-time samples and equalized late samples. In addition, a preference factor can be applied to at least the equalized on-time samples to generate preferred equalized on-time samples, which are combined with the equalized late samples to generate a set of equalized samples for decoding.

Method and apparatus for a robust fractionally spaced equalizer

Certain embodiments of the present disclosure provide a hybrid receiver diversity scheme that involves combining received signals in accordance with a combination of multiple receive diversity schemes. Certain embodiments of the present disclosure provide a hybrid transmit diversity scheme that involves transmitting diversity signals to a receiver according to a transmit diversity scheme selected based on signal quality measurements received from the receiver.

Methods and systems for hybrid MIMO schemes in OFDM/A systems

A method for combining signals coming from multiple diversity sources may include performing maximal-ratio combining (MRC) based equalization and combining for receiver antenna diversity. The method may also include performing MRC-based equalization and combining for repetition diversity. The method may also include performing MRC-based equalization and combining for duplication diversity. The MRC-based equalization and combining for receiver antenna diversity, the MRC-based equalization and combining for repetition diversity, and the MRC-based equalization and combining for duplication diversity may each be performed separately.

Methods and apparatus for combining signals from multiple diversity sources

Certain embodiments utilize raw signals to estimate channel quality, as contrasted to utilizing equalized signals or after channel estimation. For example, signal quality may be estimated by calculating powers of pilot sub-carriers and null sub-carriers of the raw signals. To mitigate channel effect, certain embodiments utilize first and/or second order differentiation schemes.

Signal quality estimation for OFDMA systems

A method of data classification for use in a wireless communication system includes obtaining decoder metrics from a decoder. The decoder metrics correspond to data generated by the decoder. The decoder metrics include a symbol error rate (SER) and an energy metric (EM). The method also includes classifying the data into a first category if the data fails a cyclic redundancy check (CRC) check, into a second category if the data passes the CRC check and is determined to be unreliable, or into a third category if the data passes the CRC check and is determined to be reliable. A reliability of the data is determined based on the decoder metrics and an EM threshold.

Data classification based on cyclic redundancy check and decoder metric

A method of data classification for use in a wireless communication system includes obtaining decoder metrics from a decoder. The decoder metrics correspond to data generated by the decoder. The decoder metrics include a first metric and a second metric. The method also includes classifying the data into a first category if the data fails an error detection check, into a second category if the data passes the error detection check and is determined to be unreliable, or into a third category if the data passes the error detection check and is determined to be reliable. A reliability of the data is determined based on at least one of the decoder metrics and a threshold.

Data classification in a wireless communication system

Growing community of inventors

Cupertino, CA, United States of America

Je Woo Kim