Abstract: An apparatus and method for processing signals are disclosed. The apparatus may include a transceiver configured to receive a first paging signal during a first cycle, a memory, and a processor configured to store the received first paging signal in the memory, to switch the transceiver to an off state after the first paging signal is stored in the memory, to process the stored first paging signal while the transceiver is in the off state, and to determine whether to enter an online mode based on the processing.

Abstract: Methods and apparatus for correcting frequency errors between a carrier frequency of a signal received by a wireless device and a reference frequency local to the device. For certain aspects, such a method generally includes receiving a signal in a receiver having an LO producing a reference frequency, a radio frequency (RF) phase-locked loop (PLL), and a digital rotator, estimating a frequency difference between a carrier frequency of the received signal and the LO reference frequency, and applying the estimated frequency difference to the RF PLL and the digital rotator.

Abstract: An apparatus for providing wireless coverage to a plurality of sectors includes means for generating a reference sequence, and means for applying a time domain orthogonal sequence to the reference sequence to generate a reference signal for broadcasting over one of the sectors. An apparatus for wireless communications within a sector includes means for receiving a broadcast within a sector, the received broadcast comprising a reference signal having a time domain orthogonal sequence applied to a reference sequence, and means for recovering the reference sequence from the received broadcast.

Abstract: Certain aspects of the present disclosure relate to a method and an apparatus for unified iterative demodulation-decoding that can be employed in both multiple-input multiple-output (MIMO) and non-MIMO wireless systems.

Abstract: 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.

Abstract: A method for quantizing decision metrics (e.g., log likelihood ratios (LLRs)) for reduction of memory requirements in wireless communication is described. The method includes selecting a quantization algorithm. The quantization algorithm may be selected as a function of a characteristic of a decision metric representative of a transport block received over a communication channel, a characteristic of the transport block, or a condition of the communication channel. The method further includes quantizing the decision metric using the selected quantization algorithm to generate at least one quantized decision metric representative of the transport block. The method further includes storing the quantized decision metric and an indicia of the selected quantization algorithm to enable recovery of the decision metric representative of the transport block prior to decoding.

Abstract: Apparatus and method for wireless communication in a wireless communication network that includes receiving a signal from a network and measuring a minimum bandwidth of the received signal for a measurement region by shifting the measurement region of the signal based on a frequency offset and rotating the measurement region of the signal.

Abstract: In the basic transform domain (linear filtering interpolation) technique for channel estimation at the receiver in a wireless communication system, the improvement of providing channel estimation at the receiver with computational efficiency, comprising: extending the pilot support to move the effective edges of the pilot data further from the channel span of interest, that corresponds to data transmission.

Abstract: Systems and methods for intelligently reducing the number of log-likelihood ratios (LLRs) stored in memory of a wireless communication device are described herein. In one aspect, the systems and methods described herein relate to selecting LLRs for storage based on a quality metric. In another aspect, the systems and methods described herein relate to improving communication quality in response to available memory capacity.

Abstract: Systems and methods for intelligently reducing the number of log-likelihood ratios (LLRs) stored in memory of a wireless communication device are described herein. In one aspect, the systems and methods described herein relate to selecting LLRs for storage based on a quality metric. In another aspect, the systems and methods described herein relate to improving communication quality in response to available memory capacity.

Abstract: Disclosed are apparatus and methods for dynamic data-based scaling of data. The disclosed methods and apparatus involve storing one or more input data samples, which are to be scaled and input to a processing function such as a Fast Fourier Transform. A scaling value operable for scaling the one or more data samples is determined based on the one or more input data samples, and then the stored data samples are scaled based on the computed scaling value when read out of storage prior to the processing function. The scaling of data based on the input data allows the data to be scaled dynamically, not statically, and ensures that the data fits within a desired bit width constraint of the processing function thereby economizing processing resources.

Abstract: An apparatus and method for processing signals are disclosed. The apparatus may include a transceiver configured to receive a first paging signal during a first cycle, a memory, and a processor configured to store the received first paging signal in the memory, to switch the transceiver to an off state after the first paging signal is stored in the memory, and to process the stored first paging signal while the transceiver is in the off state.

Abstract: Certain aspects of the present disclosure relate to a method for iterative decoding with re-transmissions of data and to a method for iterative decoding with soft decision directed channel estimation.

Abstract: Systems and methodologies are described that facilitate signal separation across different carriers within a wireless communications environment. The systems and methods can identify a carrier spacing that can be based upon a tone spacing associated with two or more carriers. Such carrier spacing can be employed within a network in order to mitigate signal separation with multiple carriers. The subject innovation can further evaluate a carrier raster associated with a network in order to identify a carrier spacing to ensure orthogonality between tones from different carriers.

Abstract: Techniques for performing a frequency scan to detect wireless systems operating on frequency channels with variable bandwidths are disclosed. In one aspect, a user equipment (UE) performs a frequency scan for a plurality of frequency channels and measures the received power of each frequency channel based on a center frequency and a bandwidth of the frequency channel. The UE identifies candidate frequency channels for acquisition based on the results of the frequency scan. In another aspect, a frequency scan of a band is performed by partitioning the band into multiple segments, measuring received powers of subcarriers or raster frequencies within each segment, and concatenating received powers of subcarriers or raster frequencies for all segments. A frequency scan is then performed based on the concatenated results for the multiple segments.

Abstract: A method and apparatus for selectively clipping waveforms prior to transmission in a multi-carrier wireless communication system is provided. The design includes estimating peak values of the composite multi-carrier signal, determining a local threshold set including one local threshold for each carrier based on a configurable total threshold representing a maximum aggregate signal level for a sum of all signals to be transmitted over the multiple carriers, and clipping one signal to be transmitted over one carrier when the signal exceeds a corresponding local threshold and a sum of all signals to be transmitted over multiple carriers exceed the total threshold. Alternately, the design may include estimating peak signal values for signals to be transmitted in the multi-carrier system, and selectively clipping any signal wherein at least one peak signal value exceeds a local threshold and peak signal values for a sum of all signals to be transmitted exceed a global threshold.

Abstract: A method for estimating a traffic-to-pilot ratio (TPR) for a received signal is disclosed. The received signal is despatialized to obtain a despatialized received signal. A channel matrix is despatialized to obtain a despatialized channel matrix. The despatialized received signal is whitened to obtain a pre-whitened despatialized received signal. The despatialized channel matrix is whitened to obtain a pre-whitened despatialized channel matrix. The estimated TPR for the received signal is determined using the pre-whitened despatialized received signal and one or more pre-whitened despatialized channel estimation coefficients.

Abstract: Certain embodiments of the present disclosure provide a method for frequency-domain gain control in system utilizing orthogonal frequency division multiplexing (OFDM) multiple input multiple output (MIMO). The proposed method reduces the complexity of the system while maximizing the internal accuracy of the OFDM MIMO decoder and preserving the performance of the system.

Abstract: A technique for noise reduction in a wireless communication system uses controllable bandwidth filters (120) to filter a received signal. In a typical implementation, the filters (120) are used at baseband frequencies. A measurement (RSSI) is indicative of the strength of the received signal. A control circuit (144) generates a control signal (146) to control the bandwidth of the filters (120). If the received signal strength is above a first threshold, a wider bandwidth may be used for the filters (120). If the received signal is below a second threshold, the control circuit (144) generates the control signal (146) to set the filters (120) to a more narrow bandwidth. The system (100) may also be used with digital filters (150, 152) following digitization by analog to digital converters (ADCs) (130, 132). The system (100) is particularly well-suited for operation with noise-shaped ADCs (130, 132), such as Delta-Sigma converters.

Abstract: Receiver diversity in a wireless device is controlled in response to operating conditions, transmission requirements, and control settings. The control of diversity reduces power consumption by enabling receive diversity on given conditions. Operating conditions, transmission requirements, and control settings are used separately or used in conjunction to determine whether benefits of multi-antenna receive diversity, such as higher link capacity, higher data throughput, lower transmit power, and lower error rate, warrant the higher power cost of the diversity.