Abstract: Certain aspects of the present disclosure relate to methods and apparatus that may be used to perform joint spatial processing for space frequency block coding and/or non-space frequency block coding channels in a wireless communications system. In aspects, apparatus and methods are provided for wireless communications, comprising receiving a signal from a serving cell and zero or more interfering cells, and processing the received signal, wherein the processing includes joint processing of at least two Resource Elements (REs), selected to conform to a Space Frequency Block Coding (SFBC) scheme in which transmitted data is modulated across two REs, to detect an interfering cell signal and canceling of the detected interfering cell signal from the received signal.

Abstract: Aspects of the present disclosure generally relate to wireless communications and, more particularly, to performing channel estimation with modifications for improved system performance. Aspects generally include receiving, at a user equipment (UE), reference signals from a base station in a current subframe, and performing channel estimation, wherein the channel estimation is based at least in part on the reference signals received in the current subframe, a mobility characteristic of the UE, and a configuration of subframes prior to the current subframe.

Abstract: Certain aspects of the present disclosure relate to methods and apparatus that may be used to perform joint spatial processing for space frequency block coding and/or non-space frequency block coding channels in a wireless communications system. In aspects, apparatus and methods are provided for wireless communications, comprising receiving a signal from a serving cell and zero or more interfering cells, and processing the received signal, wherein the processing includes joint processing of at least two Resource Elements (REs), selected to conform to a Space Frequency Block Coding (SFBC) scheme in which transmitted data is modulated across two REs, to detect an interfering cell signal and canceling of the detected interfering cell signal from the received signal.

Abstract: Dynamic receiver switching is implemented by a receiving device that selects a first receiver having operating characteristics associated with a first optimal operating region to decode one or more first transmissions. The receiving device then selects a second receiver to decode subsequent transmissions. The second receiver has operating characteristics and an optimal operating region that are different from those of the receiver.

Abstract: Aspects of the present disclosure generally relate to wireless communications and, more particularly, to performing channel estimation with modifications for improved system performance. Aspects generally include receiving, at a user equipment (UE), reference signals from a base station in a current subframe, and performing channel estimation, wherein the channel estimation is based at least in part on the reference signals received in the current subframe, a mobility characteristic of the UE, and a configuration of subframes prior to the current subframe.

Abstract: Certain embodiments of the present disclosure relate to methods for peak-to-average power ratio (PAPR) reduction of a transmission signal in a single carrier frequency division multiple access (SC-FDMA) system. The proposed methods and systems are based on manipulations of an SC-FDMA transmission signal in a time- and/or a frequency-domain.

Abstract: Certain embodiments of the present disclosure provide techniques for channel estimation without resorting to the channel second-order statistics. Methods and systems are proposed for improving the performance of an un-constrained least squares channel interpolator by using available side information of the channel, such as signal-to-noise ratio (SNR), Doppler frequency and/or delay spread.

Abstract: A system and method for blind estimation of carrier frequency offsets (CFOs) and separation of user signals in wireless communications systems are provided. Blind estimation of CFOs (i.e., without knowledge of the conditions of the transmitter or the transmission medium/channel) is carried out in order to improve reception quality by a wireless communications device. A received RF signal is over-sampled by a pre-defined over-sampling factor, and polyphase components are extracted from the over-sampled signal. The polyphase components are used to construct a virtual receiver output matrix, e.g., a model of the received signal and its associated output matrix. System response conditions are blindly estimated by applying a blind system estimation algorithm to the virtual receiver output matrix.

Abstract: Certain embodiments of the present disclosure provide techniques for channel estimation without resorting to the channel second-order statistics. Methods and systems are proposed for improving the performance of an un-constrained least squares channel interpolator by using available side information of the channel, such as signal-to-noise ratio (SNR), Doppler frequency and/or delay spread.

Abstract: Certain embodiments of the present disclosure relate to methods for peak-to-average power ratio (PAPR) reduction of a transmission signal in a single carrier frequency division multiple access (SC-FDMA) system. The proposed methods and systems are based on manipulations of an SC-FDMA transmission signal in a time- and/or a frequency-domain.

Abstract: A system and method for blind estimation of carrier frequency offsets (CFOs) and separation of user signals in wireless communications systems are provided. Blind estimation of CFOs (i.e., without knowledge of the conditions of the transmitter or the transmission medium/channel) is carried out in order to improve reception quality by a wireless communications device. A received RF signal is over-sampled by a pre-defined over-sampling factor, and polyphase components are extracted from the over-sampled signal. The polyphase components are used to construct a virtual receiver output matrix, e.g., a model of the received signal and its associated output matrix. System response conditions are blindly estimated by applying a blind system estimation algorithm to the virtual receiver output matrix.