Abstract: A system and method includes employing a cyclical redundancy check (CRC) code to information being transmitted on the channel, the CRC code including appending a single CRC code bit to the information, the single CRC code bit having a value of 0. The method further includes adding an error correcting code with a value of 0 to the information and to a plurality of error correcting code parity bits provided by the error correcting code. The method further includes transmitting, by the communication device, the information on the channel without the single CRC code bit, the additional information bit, and the error correcting code parity bits for being decoded and set by a receiver.

Abstract: A system and method for maximizing channel bandwidth while employing error control coding is presented. The method includes employing a cyclical redundancy check (CRC) code to information being transmitted on the channel, the CRC code including appending a single CRC code bit to the information, the single CRC code bit having a value of 0. The method further includes adding an error correcting code with a value of 0 to the information and to a plurality of error correcting code parity bits provided by the error correcting code. The method further includes transmitting, by the communication device, the information on the channel without the single CRC code bit, the additional information bit, and the error correcting code parity bits for being decoded and set by a receiver.

Abstract: Aspects of a method and system for efficient full resolution correlation may include correlating a first signal with a second signal at a rate corresponding to a first discrete signal, wherein each sample of the first signal may be generated by summing a plurality of consecutive samples from the first discrete signal, and the second signal may be generated by summing the plurality of consecutive samples from a second discrete signal. The correlating may be performed by a matched filter and/or a correlator. The first signal comprising N samples may be generated by summing L consecutive samples for each of the N samples from the first discrete signal comprising N*L samples. The second signal comprising N samples may be generated by summing L consecutive samples for each of the N samples from the second discrete signal comprising N*L samples.

Abstract: A mobile device receives a signal, from a base station, comprising a primary synchronization sequence (PSS) and a secondary synchronization sequence (SSS). The mobile device utilizes two different sampling rates to perform the PSS synchronization and the SSS detection individually. For example, the mobile device synchronizes to the received PSS at a first sampling rate such as 0.96 MHz, which is determined based on the PSS transmission rate and/or the length of the received PSS. The mobile device detects the received SSS at a second sampling rate such as 1.92 MHz, which equals to the sampling rate for an analog-to-digital conversion at the mobile device. The received PSS and associated symbol timing are detected through the PSS synchronization to support the SSS detection. The detected SSS is used to acquire cell-specific parameters such as cell ID. The acquired cell-specific parameters ensure proper communications between the mobile device and the base station.

Abstract: A mobile device receives a radio frequency (RF) signal comprising a primary synchronization sequence (PSS) and a secondary synchronization sequence (SSS). The mobile device performs multiple frequency hypothesis (MFH) testing via multiple MFH branches. A SSS decoding and a PSS correlation process are performed, respectively, per MFH branch. The SSS decoding may be performed according to corresponding PSS detection. Cell-specific information such as cell ID information and/or Cyclic Prefix (CP) length is acquired per MFH branch based on corresponding PSS detection and SSS decoding. Subsequently, the mobile device selects a particular MFH branch with a maximum PSS correlation peak over the entire MFH branches. The cell-specific information from the selected MFH branch is utilized for communications within a corresponding cell if the information is detected consistently. The mobile device compares cell ID information and/or CP length information over the remaining MFH branches for consistency check.

Abstract: A mobile device receives a signal comprising a PSS and a SSS. The mobile device performs iterative MFHT utilizing a reduced number of MFH branches. At each iteration, frequency offset estimation and Cell-ID detection are concurrently performed. An iteration starts with selecting initial frequency offsets spanning a frequency offset estimation range. The selected initial frequency offsets are placed in the MFH branches. A particular MFH branch with a maximum PSS correlation peak magnitude is selected at the iteration. A frequency offset estimate in the selected MFH branch is utilized for frequency control. The frequency offset estimation range utilized for the current iteration is reduced for the next iteration. A Cell-ID is declared if the Cell-ID is consistently detected not only within a particular iteration on the basis of having detected consistent cell ID information for the first and second halves of a radio frame, but also from iteration to iteration.

Abstract: A mobile device coupled to a common system clock receives a signal comprising a primary synchronization sequence (PSS) and a secondary synchronization sequence (SSS) in a radio frame. Sample counts are generated for timed events based on corresponding operating bandwidths. The timed events are detected at modulo sample counts of the generated sample counts according to corresponding operating bandwidths. PSS symbol timing determined via the PSS synchronization is aligned to the generated sample counts based on corresponding operating bandwidth. The generated sample counts are bit-shifted relative to the aligned PSS symbol timing for other timed events based on corresponding operating bandwidths. The one or more timed events are determined via performing modulo counting after the bit-shifting. Timing operations are performed at the determined timed events and the determined one or more timed events are refined, accordingly.

Abstract: A mobile device accumulates energy associated with each of successive PSS transmissions received from a base station. Accumulated energy values may be rescaled by a same number of bits whenever a buffer overflow condition occurs within the accumulation buffer. The mobile device may detect a correct PSS timing hypothesis utilizing the rescaled accumulated energy values within the accumulation buffer. A significant bit such as, for example, the most significant bit (MSB) or one of lesser significant bits, of each of the accumulated energy values may be monitored during the energy accumulation process to detect a buffer overflow condition. The mobile device may determine number of bits for rescaling or right shift each of the accumulated energy values in response to the detected buffer overflow condition. The resulting shifted accumulated energy values may be utilized for PSS detection. Either an integrating or filtering method is utilized during the energy accumulation process.

Abstract: Aspects of a method and apparatus for user equipment (UE) channel acquisition in the presence of large frequency uncertainty in wideband code division multiple access (WCDMA) signals are provided. An efficient time-frequency domain search that may be utilized in cell communications may be performed by devising criteria that eliminates the unlikely frequencies hypotheses. An estimate for the frequency offset may be estimated in the remaining subset. For WCDMA applications, a UE may comprise a baseband processor that is enabled to detect a primary synchronization channel (P-SCH) code (PSC) for initial network synchronization. A portion of the baseband processor may generate a plurality of signal peak-to-noise-floor-average ratios associated with a plurality of test frequencies produced by a crystal oscillator. A highest of the signal peak-to-noise-floor-average ratios may be selected to determine the frequency offset of the crystal oscillator for use in power up operations.

Abstract: Methods and systems for dual frequency timing acquisition for compressed WCDMA communication networks may include processing received WCDMA signals. The WCDMA signals, which may be primary synchronization channel signals, may comprise signals transmitted by one base station at one frequency band and by another base station at a different frequency band, during a compressed frame. Samples of the received WCDMA signals from the different base stations may be stored in portions of a memory allocated for signals from each base station. The received WCDMA signals having the first frequency band may be processed via the processing circuitry during a non-compressed frame. The samples corresponding to the signals with the first frequency band during the non-compressed frame may be stored in the memory. The received WCDMA signals may be sampled at a faster rate during the non-compressed frame than during the compressed frame.

Abstract: A mobile device receives a signal, from a base station, comprising a primary synchronization signal (PSS) and a secondary synchronization signal (SSS). The received PSS and SSS are used to acquire cell-specific parameters so as to ensure communicates between the mobile device and the base station. The mobile device correlates the received signal in time domain using signs of each of a plurality of correlation reference sequences (reference PSSs). The mobile device generates sign based correlation reference PSSs using signs of the corresponding reference PSSs, which are generated based on a variety of Zadoff-Chu sequences. The received PSS is detected based on the correlation. No multiplication operations are used in the correlation process. Symbol timing is identified according to the detected PSS. The mobile device uses the identified symbol timing to baseband process the received signal. The received signal is an OFDM signal received over a 3GPP LTE/E-UTRA air interface.

Abstract: A mobile device receives a signal, from a base station, comprising a primary synchronization sequence (PSS) and a secondary synchronization sequence (SSS). The mobile device utilizes two different sampling rates to perform the PSS synchronization and the SSS detection individually. For example, the mobile device synchronizes to the received PSS at a first sampling rate such as 0.96 MHz, which is determined based on the PSS transmission rate and/or the length of the received PSS. The mobile device detects the received SSS at a second sampling rate such as 1.92 MHz, which equals to the sampling rate for an analog-to-digital conversion at the mobile device. The received PSS and associated symbol timing are detected through the PSS synchronization to support the SSS detection. The detected SSS is used to acquire cell-specific parameters such as cell ID. The acquired cell-specific parameters ensure proper communications between the mobile device and the base station.

Abstract: Aspects of a method and system for efficient full resolution correlation may include correlating a first signal with a second signal at a rate corresponding to a first discrete signal, wherein each sample of the first signal may be generated by summing a plurality of consecutive samples from the first discrete signal, and the second signal may be generated by summing the plurality of consecutive samples from a second discrete signal. The correlating may be performed by a matched filter and/or a correlator. The first signal comprising N samples may be generated by summing L consecutive samples for each of the N samples from the first discrete signal comprising N*L samples. The second signal comprising N samples may be generated by summing L consecutive samples for each of the N samples from the second discrete signal comprising N*L samples.

Abstract: Aspects of a method and system for reducing the complexity of multi-frequency hypothesis testing using an iterative approach may include estimating a frequency offset of a received signal via a plurality of iterative frequency offset hypotheses tests. The iterative frequency offset hypotheses may be adjusted for each iteration. A correlation may be done between a primary synchronization signal (PSS), and one or more frequency offset versions of a received signal to control the adjustment of the iterative frequency offset hypotheses. A frequency of the received local oscillator signal may be adjusted based on the estimated frequency offset. One or more frequency offset version of the received signal may be generated via one or more multiplication, and the multiplication may be achieved via a multiplication signal corresponding to one or more frequency offsets. The frequency offset of the received signal may be estimated via the correlation.

Abstract: A mobile device receives a signal, from a base station, comprising a primary synchronization sequence (PSS) and a secondary synchronization sequence (SSS). The mobile device utilizes two different sampling rates to perform the PSS synchronization and the SSS detection individually. For example, the mobile device synchronizes to the received PSS at a first sampling rate such as 0.96 MHz, which is determined based on the PSS transmission rate and/or the length of the received PSS. The mobile device detects the received SSS at a second sampling rate such as 1.92 MHz, which equals to the sampling rate for an analog-to-digital conversion at the mobile device. The received PSS and associated symbol timing are detected through the PSS synchronization to support the SSS detection. The detected SSS is used to acquire cell-specific parameters such as cell ID. The acquired cell-specific parameters ensure proper communications between the mobile device and the base station.

Abstract: Aspects of a method and system for efficient full resolution correlation may include correlating a first signal with a second signal at a rate corresponding to a first discrete signal, wherein each sample of the first signal may be generated by summing a plurality of consecutive samples from the first discrete signal, and the second signal may be generated by summing the plurality of consecutive samples from a second discrete signal. The correlating may be performed by a matched filter and/or a correlator. The first signal comprising N samples may be generated by summing L consecutive samples for each of the N samples from the first discrete signal comprising N*L samples. The second signal comprising N samples may be generated by summing L consecutive samples for each of the N samples from the second discrete signal comprising N*L samples.

Abstract: Aspects of a method and system for frame timing acquisition in evolved universal terrestrial radio access (EUTRA) may include determining a received secondary synchronization sequence (SSS) based on a selected cyclic prefix length and on synchronization of a primary synchronization sequence (PSS). A first portion of information associated with the received SSS may be processed separately from a second portion of information associated with the received SSS. A frame timing and/or base station identifier may be determined by comparing the processed first portion of information with the processed second portion of information. The cyclic prefix length may be selected from a finite set of possible cyclic prefix lengths. The cyclic prefix length may be, for example, 9 samples or 32 samples. The primary synchronization sequence synchronization may be determined via correlation.

Abstract: A mobile device receives a signal comprising a PSS and performs multiple frequency hypothesis testing (MFHT) on the received signal. The mobile device starts MFHT by applying different initial frequency offsets in corresponding MFH branches. Timing drift in MFHT is compensated based on corresponding initial frequency offsets. In this regard, a PSS correlation process is performed on the received signal in each MFH branch. Resulting PSS correlation data is buffered and processed in corresponding PSS timing hypothesis buffers. The timing position of samples is updated in the PSS timing hypothesis buffers based on corresponding initial frequency offsets. Energy associated with the PSS transmissions may be accumulated utilizing corresponding PSS correlation data at updated sampling positions. The received PSS is detected based on a maximum accumulated energy associated with the PSS transmissions. Information that comes from the detected PSS is utilized by the mobile device to camp on a corresponding cell.

Abstract: A mobile device receives a radio frequency (RF) signal comprising a primary synchronization sequence (PSS) and a secondary synchronization sequence (SSS). The mobile device performs multiple frequency hypothesis (MFH) testing via multiple MFH branches. A SSS decoding and a PSS correlation process are performed, respectively, per MFH branch. The SSS decoding may be performed according to corresponding•PSS detection. Cell-specific information such as cell ID information and/or Cyclic Prefix (CP) length is acquired per MFH branch based on corresponding PSS detection and SSS decoding. Subsequently, the mobile device selects a particular MFH branch with a maximum PSS correlation peak over the entire MFH branches. The cell-specific information from the selected MFH branch is utilized for communications within a corresponding cell if the information is detected consistently. The mobile device compares cell ID information and/or CP length information over the remaining MFH branches for consistency check.

Abstract: A mobile device receives a radio frequency (RF) signal comprising a primary synchronization sequence (PSS) and a secondary synchronization sequence (SSS). The mobile device performs multiple frequency hypothesis (MFH) testing via multiple MFH branches. A SSS decoding and a PSS correlation process are performed, respectively, per MFH branch. The SSS decoding may be performed according to corresponding PSS detection. Cell-specific information such as cell ID information and/or Cyclic Prefix (CP) length is acquired per MFH branch based on corresponding PSS detection and SSS decoding. Subsequently, the mobile device selects a particular MFH branch with a maximum PSS correlation peak over the entire MFH branches. The cell-specific information from the selected MFH branch is utilized for communications within a corresponding cell if the information is detected consistently. The mobile device compares cell ID information and/or CP length information over the remaining MFH branches for consistency check.