Abstract: The quality of a received signal in a non-linear receiver is estimated using a coupling matrix G or Q that describes the interaction of symbols in the received signal with other symbols and/or how the impairment (noise and interference) interacts in the received signal. The coupling matrix is also useful for joint detection. The signal quality estimate may include, e.g., the minimum eigenvalue, and other functions, such as the determinant and trace of the coupling matrix. When G or Q varies with each block, as in CDMA systems employing longcode scrambling, a representative matrix can be used, such as a matrix of RMS values or average magnitudes of real and imaginary components. The signal quality estimate can be expressed as a bit error rate (BER).

Abstract: A method and apparatus for reducing the complexity of waveform correlation computations used by a multicode receiver is described herein. One exemplary multicode receiver includes a despreading unit, channel estimator, and waveform correlation calculator. The despreading unit despreads a received multicode signal to generate despread symbols. The channel estimator estimates channel coefficients associated with the despread symbols. The waveform correlation calculator determines waveform correlations between the transmitted symbols in successive processing windows that span two or more symbol periods and that overlap in time. To reduce the computational complexity associated with computing waveform correlations, the calculator may reuse channel coefficients and/or net channel correlations for multiple symbol periods and/or processing windows.

Abstract: Teachings presented herein offer reduced computational complexity for detecting a plurality of symbol blocks, even for symbol blocks that comprise the combination of a relatively large number of symbols. The teachings perform two or more stages of detection assistance to successively reduce the number of candidate combinations of symbols to be considered for a symbol block when detecting the plurality of symbol blocks. In particular, the teachings identify a reduced set of candidate symbol combinations for at least one symbol block in the plurality of symbol blocks, and then jointly detect each of one or more distinct groups of symbols in the symbol block to determine from that reduced set a final reduced set of candidate symbol combinations. Detection of the plurality of symbol blocks limits the candidate combinations of symbols considered for a symbol block to the final reduced set of candidate symbol combinations identified for that symbol block.

Abstract: Teachings presented herein offer reduced and stable computational complexity for symbol block detection using multi-stage assistance, and also provide for the generation of soft bit values. A demodulator generates these soft bit values by forming from a set of candidate symbol combinations, for each group of symbols in a symbol block, a subset of candidate symbol combinations for that group. The demodulator selects from the set the most likely combination, at least one combination that has a complementary bit value for a respective bit value in the most likely combination, and as many of the next most likely combinations not already selected as are needed for the size of the subset to conform to a pre-determined size. The demodulator generates soft bit values by limiting the candidate combinations of symbols considered for a symbol block according to the subsets formed for the groups of symbols in that symbol block.

Abstract: A wireless communication device or system generates transmit power control feedback for a received power control channel by determining a command error rate (CER), or by identifying a target signal quality for the power control channel according to a defined signal-quality-to-CER mapping function. Generally, the power control channel does not include error-coded data to use for CER estimation. However, in one embodiment, the channel does include known reference bits that are evaluated for CER estimation, with the estimated CER used to set the signal quality target for inner loop power control. In other embodiments, a computed reception error probability is used to identify a CER estimate according to a defined probability-to-CER mapping function. By way of non-limiting example, these embodiments may be used to provide power control feedback for power control commands transmitted on a Fractional Dedicated Physical Channel in WCDMA systems.

Abstract: A method and apparatus provide advantageous uplink power control for a set of uplink channels transmitted by a mobile terminal or other item of user equipment (UE). The proposed uplink power control maintains the total received power for the set of uplink channels at or about a target received power, while also maintaining the received signal quality for a subset of those channels—e.g., a particular one of them—at or about a target received signal quality. In an advantageous but non-limiting example embodiment, the subset comprises a fixed-rate control channel, and the set includes that control channel and a variable-rate traffic channel. Correspondingly, a base station generates first power control commands to maintain the received signal quality of the control channel at or about some quality target, and generates second power control commands to maintain the total received power (of the two channels) at or about some power target.

Abstract: Method and apparatuses taught herein enable link adaptation feedback to be determined in advance for future transmit intervals, based on one or more data sending units sending indications of future transmit resource allocations, and receiving corresponding link adaptation feedback from data receiving units. Knowledge of the future transmit resource allocations enable individual data sending units to predict interference conditions for the future transmit interval, and thereby compute link adaptation feedback that takes advantage of low-interference conditions. Individual data sending units receive link adaptation feedback for the future transmit interval from the data receiving units they are supporting, and make corresponding link adaptations for the future transmit interval.

Abstract: Demodulation and interference parameter estimation in an OFDM receiver is improved by identifying regions, in a two-dimensional array of time-frequency transmission positions, having related interference parameters, such as resulting from the same pre-coding scheme, transmission rank, transmitting antennas, and the like. An interference measure is estimated for each of a plurality of time-frequency positions. The interference measures are analyzed by considering them as pixels, or picture elements, in a two-dimensional image, and applying image processing algorithms to identify the regions having related interference parameters. The image processing algorithms may include operations such as edge detection, segmentation, and/or clustering. The receiver may perform interference suppression or cancellation such as interference rejection combining of data extracted from signals received within an identified time-frequency region having related interference parameters.

Abstract: Detecting a symbol of interest comprises despreading a received signal to obtain despread values corresponding to the symbol of interest and to one or more interfering symbols, combining the despread values to generate combined values for the symbol of interest and the interfering symbols, computing spreading waveform correlations between the spreading waveform for the symbol of interest and the spreading waveforms for the interfering symbols, computing interference rejection terms representing the interference present in the combined value for the symbol of interest attributable to the interfering symbols based on the spreading waveform correlations, and generating an estimate of the symbol of interest by combining the combined values with the interference rejection terms. The interference rejection terms are computed by scaling the spreading waveform correlations by corresponding signal powers and compensating the estimates for noise.

Abstract: A wireless communication receiver, such as the receiver included in a wireless communication transceiver implemented in a base station or in a mobile station of a wireless communication network, includes a parametric G-RAKE receiver circuit and a method that compute parametric scaling parameters on a per transmission interval basis. In one embodiment, measured impairment correlations are obtained for an individual transmission slot and used to estimate instantaneous values of the scaling parameters. One or both of those instantaneous values are then constrained according to one or more defined limits. In other embodiments, multiple transmission slots are used to increase the number of measurements available to estimate the scaling parameters, with parameter constraining optionally applied. Further embodiments use iterative methods and/or solve for one parameter, and use the results to obtain the other parameter(s).

Abstract: A parametric form of G-Rake and chip equalization for closed-loop transmit diversity is provided, that accounts for impairment correlation between transmit antennas. In a closed-loop transmit diversity system, the base station transmits a signal from two or more antennas, using one of a predetermined set of relative phase offsets at one of the antennas. The parametric estimation of the impairment or data covariance is performed by summing terms, including a term for each possible phase offset. The terms are weighted by fitting parameters. The fitting parameters are jointly solved by fitting the impairment or data covariance estimate to a measured impairment or data covariance. In another aspect, a measured impairment covariance is formed by exploiting a special relationship between the pilot channels of the different transmit antennas.

Abstract: The computational complexity required for interference suppression in the reception of wireless communications from multiple users is reduced by sharing information among the users. In some situations, information indicative of a statistical characteristic of the interference is shared among the users. Delays used to produce the interference statistic information are determined based on rake finger delays employed by the users. In some situations, a parameter estimate that is used to calculate combining weights for the users is shared among the users.

Abstract: A receiver includes a baseband processor for selecting a set of demodulation processing delays for received signal demodulation from a larger set of candidate delays. In one embodiment, the baseband processor selects the set of demodulation processing delays by calculating at least one metric for each demodulation processing delay in the set of candidate delays, iteratively reducing the set of candidate delays by eliminating one or more demodulation processing delays from the set as a function of comparing the metrics, and setting the processing delays for received signal demodulation to the candidate delays remaining after reduction. In a Generalized RAKE (G-RAKE) embodiment, the metric corresponds to combining weight magnitudes associated with G-RAKE finger delays. In a chip equalizer embodiment, the metric corresponds to coefficient magnitudes associated with equalization filter tap delays.

Abstract: A receiver circuit suppresses effects of “benign” impairment from the calculation of received signal quality estimates, such that the estimate depends primarily on the effects of non-benign impairment. For example, a received signal may be subject to same-cell and other-cell interference plus noise, which is generally modeled using a Gaussian distribution, and also may be due to certain forms of self-interference, such as quadrature phase interference arising from imperfect derotation of the pilot samples used to generate channel estimates for the received signal. Such interference generally takes on a distribution defined by the pilot signal modulation, e.g., a binomial distribution for binary phase shift keying modulation. Interference arising from such sources is relatively “benign” as compared to Gaussian interference and thus should be suppressed or otherwise discounted in signal quality calculations.

Abstract: In a mobile communication system with a shared downlink traffic channel, the mobile terminals in contention for the downlink traffic channel report channel conditions to the base stations. The base station schedules the mobile terminals based on channel quality estimates from the mobile terminals and selects a transmitter configuration. The transmitter configuration may comprise, for example, the antenna configuration, and/or power and code allocations used by the base station. The base station broadcasts the transmitter configuration to all active and inactive mobile terminals. Knowledge of the transmitter configuration by the inactive mobile terminals improves the accuracy and reliability of the channel quality estimates.

Abstract: Channel and correlation characteristics are determined for a composite signal. Respective combining weights for information from the composite signal are determined for respective ones of a plurality of candidate delays based on the determined channel and correlation characteristics. A group of delays, e.g., RAKE correlator delays or chip equalizer filter taps, is selected from the plurality of candidate delays based on the determined weights. Information from the composite signal for the selected delays is processed according to a spreading code to generate a symbol estimate. The invention may be embodied as methods, apparatus and computer program products.

Abstract: Signal processing delays are selected from a candidate set in a wireless receiver based on both present and past channel behavior. According to one embodiment, a subset of signal processing delays are selected for received signal processing by accumulating a history of periodic delay selection computations for a candidate set of signal processing delays during a time interval. The delay selection calculations are based on cross-correlations between different ones of the signal processing delays. At the end of the time interval, a subset of the signal processing delays are selected from the candidate set of delays for received signal processing based on the history of delay selection computations.

Abstract: Processing in a baseband processor is improved by estimating channelization code powers when processing received signals and reducing at least one of interference and noise power from the code power estimates. According to one embodiment of a wireless communication device such as a mobile phone or Local Area Network (LAN) adapter, the device comprises circuitry configured to receive a composite signal having contributions from a signal of interest and one or more interfering signals and a baseband processor. The baseband processor is configured to estimate channelization code powers for a channelization code associated with the signal of interest and one or more channelization codes associated with the one or more interfering signals. The baseband processor is also configured to reduce at least one of interference and noise power from the channelization code power estimates.

Abstract: A node (e.g., base station, signal processing unit) is described herein that includes a symbol detector and a method which are capable of suppressing interference caused by one user device (which may be in softer handoff mode) to reduce performance degradation to other intra-cell user devices and/or other inter-cell user devices (which may not be in softer handoff mode).

Abstract: Multi-transmitter interference caused by one or more interfering own-cell and/or other-cell transmitters is reduced in a RAKE-based receiver. The RAKE-based receiver comprises a plurality of RAKE fingers, a processor and a combiner. The plurality of RAKE fingers are configured to despread received symbols, wherein a delay for a first one of the plurality of RAKE fingers corresponds to a symbol of interest transmitted by a first transmitter and a delay for a second one of the plurality of RAKE fingers corresponds to an interfering symbol transmitted by a second transmitter. The processor is configured to determine a cross-correlation between the symbol of interest and the interfering symbol. The combiner is configured to combine the symbol of interest with the interfering symbol using the cross-correlation to reduce interference attributable to the interfering symbol from the symbol of interest.