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. Such operations are, in one or more embodiments, carried out in a Wideband Code Division Multiple Access (WCDMA), Long Term Evolution LTE), or WiMAX network, wherein the data sending units comprise radio base stations, and the data receiving units comprise wireless communication devices.
Abstract:
Methods and devices in a wireless communication system are provided, in which a first portion and a second portion of signals are transmitted on a physical channel to a first transceiver from a second transceiver. A method for controlling transmission parameters in the wireless communication system comprises the steps of: transmitting an indication indicating that the first and the second receiver processing algorithms are used in the first transceiver to process the first and second portions, respectively, of signals received on the physical channel; receiving the indication at the second transceiver; and adjusting, at the second transceiver in response to the indication, a transmission parameter for at least one of the first and second portions of signals to be transmitted on the physical channel to the first transceiver. The indication could be transmitted from the first transceiver, or it could be determined through evaluations carried out at the second transceiver.
Abstract:
A receiver employs low-rate processing to synthesize the effect of high-rate interference in a received multi-rate signal. Each high-rate subchannel is analyzed on its low-rate descendents to produce symbol estimates for each low-rate symbol interval. The symbol estimates are applied to low-rate descendent subchannels, which are then combined to synthesize the effects of the high-rate interference. An interference canceller processes the synthesized interference with the received signal for producing an interference-cancelled signal. Alternatively, analogous steps may be applied at high-rate to analyze, synthesize, and cancel the effects of low-rate interference in a multi-rate signal.
Abstract:
The placement of processing delays may be adjusted to facilitate signal reception. In an example embodiment, a composite signal having multiple signal images corresponding to multiple reception delays is received. A root-mean-square (RMS) delay spread is ascertained for the multiple reception delays that correspond to the multiple signal images of the composite signal. A set of temporal points is produced responsive to the RMS delay spread. Multiple processing delays are placed based on the set of temporal points. In different example implementations, the set of temporal points (e.g., of a grid) may be produced by adjusting a spacing between temporal points, by adjusting a total number of temporal points in the set, or by changing a center location of the set. The spacing and number of points may be adjusted responsive to the RMS delay spread. The center location may be adjusted responsive to at least one calculated delay.
Abstract:
A processing circuit and method generate signal quality estimates based on scaling measured inter-symbol interference (ISI) in a received signal according to a cancellation metric corresponding to ISI cancellation performance of the receiver. By accounting for ISI cancellation performance of the receiver based on a simple scaling metric, accurate received signal quality measurements are obtained in a manner that accounts for un-cancelled ISI in the received signal without requiring use of potentially complex multipath combining weight calculations in the signal quality calculation. Signal quality estimation results may be used for sending corresponding Channel Quality Indicators, communication link transmit power control commands, etc. In some embodiments, the cancellation metric is maintained as a dynamic value based on measured ISI cancellation performance, while in other embodiments the cancellation metric comprises a pre-configured value stored in memory, for example.
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:
A subset of modeled impairment correlation terms are selected for use in received signal processing. According to one embodiment, a subset of modeled impairment correlation terms is selected and a composite impairment correlation term is determined based on the subset of modeled impairment correlation terms. The composite impairment correlation term may be determined by scaling the modeled impairment correlation terms included in the subset by respective model fitting parameters. The scaled modeled impairment correlation terms are then combined to form the composite impairment correlation term. The subset of modeled impairment correlation terms may be selected based on their respective model fitting parameters. In one embodiment, the modeled impairment terms having a model fitting parameter that satisfy a threshold are included in the subset while those that do not are excluded. The composite impairment correlation term may be used for received signal processing, e.g., demodulation or signal-to-interference estimation.
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.
Abstract:
A method of determining at least one channel for channel response in a wireless communication system is disclosed. More specifically, the method comprises receiving a plurality of signals from a transmitting end, wherein the signals comprise a plurality of pilot symbols and a plurality of data symbols, determining weight value of each pilot symbol, assigning the determined each weight value to each pilot symbol, and demodulating each data symbol by using respective information of the weight value corresponding to each pilot symbol.
Abstract:
Methods and apparatus are disclosed for suppressing both own-cell and other-cell interference in the processing of multiple signals of interest in a received composite signal. In an exemplary embodiment of the methods disclosed herein, combining weights for each of a first plurality of signals of interest in a composite information signal are computed, based on first shared signal correlation data computed from the composite information signal. A reduced-interference composite signal is calculated from the composite information signal, using, for instance, subtractive interference cancellation or interference projection techniques. Combining weights for processing each of a second plurality of signals of interest are computed as a function of second shared signal correlation data corresponding to the reduced-interference composite signal. Corresponding apparatus, including G-Rake and chip equalizer embodiments are also disclosed.