Abstract: There is provided a method, and corresponding nodes, of enabling adjustment of the transmit power of a User Equipment, UE, in a wireless network. The method comprises the step (S10) of generating an individual gain factor for at least one specific channel, determining (S20) a dynamic gain factor command corresponding to the individual gain factor and sending (S30) the dynamic gain factor command to the UE to enable the UE to increase or boost the transmit power for communications on the at least one specific channel without increasing transmit power on other channels.

Abstract: Embodiments herein relate to a method in a network node (12,15) for managing transmit power of a user equipment (10) in a cellular network (1); wherein the network node (12,15) is comprised in the cellular network (1) and serves the user equipment (10). The network node (12,15) increases a power of a control channel of the user equipment (10). The network node (12,15) further limits a power increase of a data channel to a level by reducing a power of a serving grant of the user equipment (10) an amount, which amount corresponds to the increased power of the control channel. The network node (12,15) also reduces a reference value of the data channel for maintaining a transport block size of the data channel, which reference value determines mapping from the serving grant to the transport block size.

Abstract: A network node of a wireless communication network serves a wireless device that is transmitting one or more uplink channels to each of a serving cell and at least one non-serving cell. Inner-loop power control, ILPC, commands are sent (420) to the wireless device in such a way that only ILPC commands transmitted by the serving cell affect the power of one or more control channels transmitted by the wireless device to the serving cell. In addition, a power offset for a data channel transmitted by the wireless device to the at least one non-serving cell is adjusted (430), so as to compensate for an uplink-downlink power imbalance among the serving cell and the at least one non-serving cell.

Abstract: A method is disclosed to calculate combining weight vectors associated with a received composite information signal comprising at least one data stream transmitted from at least four antennae. The method starts with computing a parametric estimate of an impairment covariance matrix including at least a first impairment term associated with common pilots deployed by the antennae. The first impairment term captures effects of interferences of the common pilots. The impairment covariance matrix further includes a data covariance term capturing effects of the at least one data stream and an interference term caused at least partially by contribution of thermal noise of receiver branches. The impairment covariance matrix includes a second impairment term associated with at least one dedicated pilot. Then the method computes the combining weight vector using the computed impairment covariance matrix. A network device performs such method is also disclosed.

Abstract: A method of calculating combining weight vectors associated with a received composite information signal comprising at least one data stream transmitted from at least a first antenna and a second antenna is disclosed. The method starts with computing a parametric estimate of an impairment covariance matrix including at least a first impairment term associated with common pilots deployed by the first antenna and the second antenna respectively. The first impairment term captures effects of interferences between the common pilots, in addition to effects of interferences caused by each common pilot singly. The impairment covariance matrix further includes a data covariance term capturing effects of the at least one data stream and an interference term caused at least partially by contribution of thermal noise of receiver branches. Then the method computes the combining weight vector using the computed impairment covariance matrix.

Abstract: In one aspect, the present invention improves Turbo equalization and/or soft interference cancellation processing in communication receivers by providing an efficient and accurate technique to compute the second moment of a received symbol, e.g., an interfering symbol, as a function of the expected bit values of only those bits in the symbol that are magnitude-controlling bits according to a defined modulation constellation. Advantageously, the expected bit values in at least one embodiment are computed using a LUT that maps bit LLRs to corresponding hyperbolic tangent function values. Further, the expected symbol value is computed as a linear function of terms comprising the expected bit values and the soft symbol variance is efficiently computed from the second moment and the expected symbol value squared. This simplified processing reduces receiver complexity, particularly in the context of modulation constellations having non-constant magnitudes, and thus saves power and/or improves design economics.

Abstract: A method that is implemented by a base station to decode a high speed dedicated physical control channel (HS-DPCCH) using a preamble and postamble of a hybrid automatic repeat request (HARQ) message while maintaining a fixed false alarm probability of interpreting a discontinuous transmission (DTX) as a HARQ acknowledgement (ACK) or HARQ negative acknowledgement (NACK). The method includes a set of steps, including receiving a signal from a user equipment (UE). The signal is despread using a G-RAKE demodulator. The despread signal is combined to produce a combined symbol estimate vector x including a preamble and postamble of the HARQ message. The combined symbol estimate vector x is checked to determine whether the signal includes a DTX, HARQ ACK or HARQ NACK, and then the DTX, HARQ ACK or HARQ NACK is output.

Abstract: Techniques are disclosed for processing a received spread spectrum signal containing multiple signals of interest and one or more interfering signals with known spreading codes. An example method begins with the generation of a despread signal vector for each signal of interest, for a given symbol time, using a corresponding group of correlators for each of the signals of interest. The method continues with the calculating of a covariance matrix for the given symbol time, the covariance matrix representing impairment correlations among the correlators from sources other than the signals of interest, as well as from inter-symbol interference in and among the signals of interest. The covariance matrix includes diagonal blocks that each represent impairment correlations among a single one of the groups of correlators; the diagonal blocks are calculated based on first terms that account in a code-specific manner for same-symbol-time interference from each of the interfering signals.

Abstract: A method of calculating combining weight vectors associated with a received composite information signal comprising at least one data stream transmitted from at least a first antenna and a second antenna is disclosed. The method starts with computing a parametric estimate of an impairment covariance matrix including at least a first impairment term associated with common pilots deployed by the first antenna and the second antenna respectively. The first impairment term captures effects of interferences between the common pilots, in addition to effects of interferences caused by each common pilot singly. The impairment covariance matrix further includes a data covariance term capturing effects of the at least one data stream and an interference term caused at least partially by contribution of thermal noise of receiver branches. Then the method computes the combining weight vector using the computed impairment covariance matrix.

Abstract: A CDMA multi-code joint demodulation solution in which impairment suppression and channel matching operations are performed prior to despreading. Embodiments include a linear front end that performs chip-level suppression of signal components that are not included in a subsequent joint demodulation process. The pre-processing stage also carries out metric preparation and provides a vector decision statistic that is processed by a joint demodulation stage to extract per-code soft values for the symbols of interest in the received signal. Both code-specific and code-averaged versions of the linear processing are disclosed, as are several front-end configurations with equivalent performance, but different complexity trade-offs. These new approaches use a block formulation, requiring a set of input chip samples as an input, and perform all operations as matrix-vector multiplications, which is an approach amenable to efficient DSP or hardware implementation.

Abstract: In one aspect, the present disclosure provides an advantageous generalization of a SLIC receiver structure, by allowing multiple solutions to survive at any one or more of the serial stages included in the SLIC receiver. Where any given stage produces multiple solutions, the next stage of the SLIC receiver processes those multiple input solutions to produce multiple output solutions. Consequently, the contemplated SLIC receiver effectively builds a tree structure with as many levels as there are stages in the SLIC receiver. Such operations allow the SLIC receiver to form two or more solution threads spanning the stages, and to make an improved overall demodulation decision for a received symbol vector by selecting the best solution thread. Further, the additional complexity of allowing multiple survivor solutions at one or more SLIC stages is controlled in one or more embodiments, using survivor pruning for example.

Abstract: A method in a network node for enhancing a channel estimate based on a Dedicated Physical Control Channel, DPCCH, between a user node and the network node is provided. The DPCCH has a first power. The network node receives (501) the DPCCH. The first power of the DPCCH is boosted with additional power, resulting in a second power. The network node then obtains (502) a channel estimate based on the DPCCH comprising the second power. As soon as said channel estimate is obtained, the network node removes (503) the additional power from the DPCCH based channel estimate.

Abstract: In a receive node of a wireless network, an iterative multi-user multi-stage interference cancellation receiver is used. The receiver performs code-averaged equalization and chip chip-level code-specific interference over-cancellation on the received signals. This can result in a unified interference cancellation processing, and can avoid cumbersome calculations of code cross correlations that is required in symbol-level interference cancellation. A symbol-level code-averaged desired signal add-back is performed to address the over-cancellation of some desired signals.

Abstract: In one aspect, the present disclosure provides an advantageous generalization of a SLIC receiver structure, by allowing multiple solutions to survive at any one or more of the serial stages included in the SLIC receiver. Where any given stage produces multiple solutions, the next stage of the SLIC receiver processes those multiple input solutions to produce multiple output solutions. Consequently, the contemplated SLIC receiver effectively builds a tree structure with as many levels as there are stages in the SLIC receiver. Such operations allow the SLIC receiver to form two or more solution threads spanning the stages, and to make an improved overall demodulation decision for a received symbol vector by selecting the best solution thread. Further, the additional complexity of allowing multiple survivor solutions at one or more SLIC stages is controlled in one or more embodiments, using survivor pruning for example.

Abstract: A CDMA multi-code joint demodulation solution in which impairment suppression and channel matching operations are performed prior to despreading. Embodiments include a linear front end that performs chip-level suppression of signal components that are not included in a subsequent joint demodulation process. The pre-processing stage also carries out metric preparation and provides a vector decision statistic that is processed by a joint demodulation stage to extract per-code soft values for the symbols of interest in the received signal. Both code-specific and code-averaged versions of the linear processing are disclosed, as are several front-end configurations with equivalent performance, but different complexity trade-offs. These new approaches use a block formulation, requiring a set of input chip samples as an input, and perform all operations as matrix-vector multiplications, which is an approach amenable to efficient DSP or hardware implementation.

Abstract: Techniques are disclosed for processing a received spread spectrum signal containing multiple signals of interest and one or more interfering signals with known spreading codes. An example method begins with the generation of a despread signal vector for each signal of interest, for a given symbol time, using a corresponding group of correlators for each of the signals of interest. The method continues with the calculating of a covariance matrix for the given symbol time, the covariance matrix representing impairment correlations among the correlators from sources other than the signals of interest, as well as from inter-symbol interference in and among the signals of interest. The covariance matrix includes diagonal blocks that each represent impairment correlations among a single one of the groups of correlators; the diagonal blocks are calculated based on first terms that account in a code-specific manner for same-symbol-time interference from each of the interfering signals.

Abstract: In one aspect, the present invention improves Turbo equalization and/or soft interference cancellation processing in communication receivers by providing an efficient and accurate technique to compute the second moment of a received symbol, e.g., an interfering symbol, as a function of the expected bit values of only those bits in the symbol that are magnitude-controlling bits according to a defined modulation constellation. Advantageously, the expected bit values in at least one embodiment are computed using a LUT that maps bit LLRs to corresponding hyperbolic tangent function values. Further, the expected symbol value is computed as a linear function of terms comprising the expected bit values and the soft symbol variance is efficiently computed from the second moment and the expected symbol value squared. This simplified processing reduces receiver complexity, particularly in the context of modulation constellations having non-constant magnitudes, and thus saves power and/or improves design economics.

Abstract: In a receive node of a wireless network, an iterative multi-user multi-stage interference cancellation receiver is used. The receiver performs code-averaged equalization and chip chip-level code-specific interference over-cancellation on the received signals. This can result in a unified interference cancellation processing, and can avoid cumbersome calculations of code cross correlations that is required in symbol-level interference cancellation. A symbol-level code-averaged desired signal add-back is performed to address the over-cancellation of some desired signals.