Abstract:
A receive signal processor jointly detects two or more symbols in a signal-of-interest in the presence of one or more other MIMO signals. The signal-to-interference-plus-noise ratio for each signal-of-interest is determined by computing per-subcarrier signal-to-interference-plus-noise ratios for a plurality of subcarriers allocated to the signals-of-interest, and computing a total signal-to-interference-plus-noise ratio for the subcarriers based on the per-subcarrier signal-to-interference-plus-noise ratios of the subcarriers. A controller determines one or more transmission formats for uplink transmissions based on the signal-to-interference-plus-noise ratios. The process of computing per-subcarrier signal-to-interference-plus-noise ratio reflects the amount of MIMO interference already cancelled or still remaining in the signal arriving at the joint detector.
Abstract:
Interference, such as inter-symbol interference, from a symbol of interest in a RAKE receiver is reduced. The RAKE receiver comprises a plurality of RAKE fingers, a processor, and a combiner. The plurality of RAKE fingers despread symbols received over multiple paths of a multi-path channel. The processor determines cross-correlations between symbol waveforms from different symbols and multiple paths. The combiner combines the despread symbols using the cross-correlations to reduce interference from the symbol of interest.
Abstract:
Techniques for generating soft values for parity bits in a convolutional decoding process are disclosed. An exemplary method comprises, for each of at least one iteration in at least one soft-input soft-output decoder, calculating intermediate probability values for each possible transition between a first plurality of candidate decoder states at a first time and a second plurality of candidate decoder states at a second time. Two or more partial sums are then computed from the intermediate probability values, wherein the partial sums correspond to possible combinations of two or more systematic bits, two or more parity bits, or at least one systematic bit and at least one parity bit. Soft values, such as log-likelihood values, are then estimated for each of at least one systematic bit and at least one parity bit of the received communications data corresponding to the interval between the first and second times, based on the partial sums.
Abstract:
Physical downlink channels PPHY1, PHY2 are summed in a summation unit 10. The output of summation unit 10 is forwarded to another summation unit 12, where it is combined with the primary and secondary synchronization channels P-SCH, S-SCH. The secondary synchronization channel S-SCH is formed as in WCDMA. The primary synchronization channel P-SCH is formed by connecting a switch SW either to a code generator 14 generating the conventional code PSCWCDMA or a code generator 18 generating the code PSCNEW. The selection is controlled by a PSC controller 18. This controller can be adapted to produce a P-SCH in accordance with one of several formats. PSCNEW has the properties that it is a hierarchical Golay sequence constructed by a plurality of constituent sequences with at least one of the constituent sequences being the Golay sequence, and that it is orthogonal to the primary and secondary synchronization codes used in non-MBSFN capable WCDMA.
Abstract:
Techniques for generating soft values for parity bits in a convolutional decoding process are disclosed. An exemplary method comprises, for each of at least one iteration in at least one soft-input soft-output decoder, calculating intermediate probability values for each possible transition between a first plurality of candidate decoder states at a first time and a second plurality of candidate decoder states at a second time. Two or more partial sums are then computed from the intermediate probability values, wherein the partial sums correspond to possible combinations of two or more systematic bits, two or more parity bits, or at least one systematic bit and at least one parity bit. Soft values, such as log-likelihood values, are then estimated for each of at least one systematic bit and at least one parity bit of the received communications data corresponding to the interval between the first and second times, based on the partial sums.
Abstract:
The transport format (TF) of a signal may be blindly detected from a reduced set of TF hypotheses. In an example embodiment, a method for the blind detection of a TF of a signal includes filtering a set of transport format hypotheses to identify a reduced set of TF hypotheses using one or more filtering schemes. From the reduced set of TF hypotheses, a TF that is associated with an interfering signal is detected. The TF includes a modulation and a spreading factor for the interfering signal. It may also include a number of channelization codes. In an example implementation, when an interfering signal is to be canceled, symbols carried by the signal are detected using the detected TF. Example filtering schemes include filtering based on system design/operation, filtering based on known configuration information, filtering based on an expected level of interference contribution, and so forth.
Abstract:
In a selective MIMO system, the mobile station provides channel quality feedback for one or more possible transmission mode. The mobile station provides channel quality feedback for a first mode regardless of channel conditions and determines whether to provide feedback for one or more additional modes based on current channel conditions.
Abstract:
Error protection based on a nonlinear code set may be used in a multiple input multiple output (MIMO) radio communications system. A decoder decodes received MIMO data streams and generates an automatic repeat request (ARQ) message for data units received for the MIMO data streams for each transmission time interval. An encoder codes the ARQ message using a code word from a nonlinear code set. At the data transmitter, which transmits one or more data units in transmission time intervals from two or more MIMO data streams, the ARQ message associated with the transmitted data units is decoded using a code word from the nonlinear code set.
Abstract:
Teachings presented herein combine the relative simplicity of equalization with the performance of maximum likelihood (ML) processing. These teachings are applied to the detection of symbols in a stream of symbol blocks. In one or more embodiments, block-based equalization, including feedforward filtering, suppresses inter-block interference and produces detection statistics for the symbols in each symbol block, and joint detection addresses intra-block interference by jointly detecting the most likely combination of symbols within each symbol block, based on the corresponding detection statistics. The joint detection obviates the need to address intra-block interference within the equalization filters, while, at the same time, the block-based equalization produces detection statistics for each symbol block thereby simplifying the joint detection process. Overall complexity is less than would be needed for full MLSE processing of the symbol blocks without equalization preprocessing, while performance is close to or on par with full MLSE processing.
Abstract:
In one aspect, the present invention greatly simplifies soft modulation calculations, in part by exploiting certain properties of Gray-mapped QAM constellations used in modulating symbols of interest. In at least one embodiment, the simplified processing includes performing the soft modulation separately for the real and imaginary parts of each symbol of interest, by using the Gray mapping to decompose each of the real and imaginary parts into binary soft modulations for each bit, and then using a computationally-efficient table lookup to calculate the binary soft modulation. Here, the look-up table comprises pre-computed bit contributions to the complex soft symbol value to be formed for the symbol of interest.