Abstract:
A method of transmitting communication signals to a plurality of targeted receivers includes transmitting one or more information streams for individual ones of the targeted receivers according to ongoing transmission scheduling, and controlling the ongoing transmission scheduling to reduce the number of impairment contributors that must be considered in received signal processing by scheduled ones of the targeted receivers. In one embodiment the controlling comprises scheduling the targeted receivers to avoid transmissions to more than one targeted receiver at a time. In the same or another embodiment, the controlling comprises at least one of using equal transmit power allocations for one or more information streams, and using fixed transmit power allocations for one or more of the information streams.
Abstract:
An SIR estimate of a communication signal in a wireless communication system receiver is calculated based on soft bit values output by a nonlinear detector. The average amplitude of the detector output soft bits is estimated. The average power of the detector output soft bits is estimated, e.g., as a mean-square or variance. An SIR of the communication signal is estimated based on the soft bit amplitude and power estimates. In particular, the SIR is estimated as the ratio of the square of soft bit amplitude to the difference between the mean square soft bit power and the square of soft bit amplitude, or the ratio of the square of soft bit amplitude to the variance. In either case, the SIR estimate may be scaled to obtain the desired units. The communication signal may be a received signal, or a simulated signal generated using channel estimates obtained from, e.g., a pilot channel.
Abstract:
A computationally-simplified approach to expected symbol value determination is based on classifying soft bit information corresponding to symbols in a received communication signal as being reliable or unreliable, and computing expected symbol values for the symbols based on the classified soft bit information. Classification can be carried out by “quantizing” the soft bit information to coarsely indicate whether individual symbol bits are known with high or low probability. Using quantized soft bit information greatly simplifies expected symbol value calculation, yet the calculated values still reflect a scaling corresponding to the underlying reliability of the soft bit information. Where the expected symbol values are computed for interfering symbols in a composite signal that also includes desired signals, preserving the underlying reliability knowledge in this manner effectively scales the amount interference cancellation applied to the composite signal in dependence on the reliability to which the interfering signal values are known.
Abstract:
A base station receives channel quality reports from a plurality of mobile terminals. The channel quality reports from the mobile terminals indicate the signal power of the signals received by the mobile terminals from the base station and one or more interference parameters relating to the power of impairment components contributing to the total impairment of the received signal during a first time interval. The base station computes an estimated channel quality indication for a second time interval subsequent to the first time interval based on expected variations in the powers of the impairment components. The estimated channel quality indication for the second time interval is used by the base station to schedule the mobile terminals and to determine the transmission format.
Abstract:
Methods and devices are provided whereby scrambling codes can be set in an improved way. In accordance with one embodiment a method is provided in a User Equipment for generating a second scrambling code or a second scrambling code group. The UE is configured for multi carrier operation receiving downlink transmission from a Universal Mobile Telecommunications System Terrestrial Radio Access Network on a set of at least two downlink carriers including an anchor carrier and at least a first secondary carrier. The method comprises determining a first scrambling code or a first scrambling code group associated with a first cell on the anchor carrier; and deriving a second scrambling code or a second scrambling code group associated with a second cell on said first secondary carrier using a predefined rule defining the relation between the second scrambling code or second scrambling code group and the first scrambling code or scrambling code group. Hereby interference suppression/cancellation processing is enabled in a receiver of a UE on secondary cells in multi-carrier scenarios that do not transmit the SCH, while minimizing the need for overhead in terms of signaling of the scrambling codes for neighbouring cells in a UTRAN system. Methods and devices for E-UTRAN are also described.
Abstract:
Mobile communication system equipment avoids interfering with another transmitter's operation. Sensing information indicating whether the other transmitter's signal has been detected is received from remote sensors, wherein each of the remote sensors is situated at a respective one of two or more sensor locations. The sensing information and information about the sensor locations is used to ascertain one or more exclusion boundaries needed to avoid interfering with the other transmitter's use of the spectral resource. Beamforming parameters are ascertained that will enable the main node to transmit within one or more predefined geographical areas except for any portion of a predefined area located on a far side of the one or more exclusion boundaries. Two or more adjusted signals are produced as a function of the beamforming parameters and one or more signals to be transmitted. The adjusted signals are transmitted from respective ones of two or more antennas.
Abstract:
The teachings herein disclose methods and apparatus that simplify impairment correlation estimation for received signal processing, based on determining, for any given processing interval, which impairment contributors should be considered in the estimation of overall received signal impairment correlations. These simplifications reduce computational processing requirements, allowing reduced circuit complexity and/or reduced operating power, and improve receiver performance. A corresponding transmitter and transmission method include transmitting multiple information streams to targeted receivers according to ongoing scheduling, and controlling the ongoing scheduling to reduce the number of impairment contributors considered in impairment correlation estimation at the targeted receivers. In one embodiment, a receiver identifies which impairment contributors to consider based on receiving control information. In another embodiment, the receiver identifies the impairment contributors to consider based on background processing, e.g., background determination of parametric model fitting parameters for a plurality of impairment contributors, and observing those model fitting parameters over time.
Abstract:
The teachings herein disclose methods and apparatus that simplify impairment correlation estimation for received signal processing, based on determining, for any given processing interval, which impairment contributors should be considered in the estimation of overall received signal impairment correlations. These simplifications reduce computational processing requirements, allowing reduced circuit complexity and/or reduced operating power, and improve receiver performance. A corresponding transmitter and transmission method include transmitting multiple information streams to targeted receivers according to ongoing scheduling, and controlling the ongoing scheduling to reduce the number of impairment contributors considered in impairment correlation estimation at the targeted receivers. In one embodiment, a receiver identifies which impairment contributors to consider based on receiving control information. In another embodiment, the receiver identifies the impairment contributors to consider based on background processing, e.g., background determination of parametric model fitting parameters for a plurality of impairment contributors, and observing those model fitting parameters over time.
Abstract:
In one or more embodiments, a receiver circuit generates impairment correlation estimates for a desired signal that are compensated for the use of different transmission scrambling codes in transmitting the desired signal and an associated pilot signal. In one embodiment, an impairment correlation estimation method comprises determining impairment correlation estimates from a pilot signal in a received CDMA signal, adapting the impairment correlation estimates for scrambling code effects if the desired signal and pilot signal are transmitted under different transmission scrambling codes, and performing one or more signal processing operations with respect to the desired signal based on the impairment correlation estimates. For example, in at least one embodiment, the receiver circuit is configured to compensate elements of an impairment correlation matrix that correspond to signal delays of the desired signal based on transmit power allocation differences between pilot and desired signal scrambling codes.
Abstract:
A method and corresponding circuit for determining a final result for a desired series of multiply-and-accumulate (MAC) operations are based on counting the occurrence of products in the desired series of MAC operations, multiplying the counts by their corresponding products to obtain partial sums, and adding the partial sums to obtain the final result. MAC processing as taught herein can be applied to a wide range of applications, such as received signal processing in wireless communication for computationally efficient (and high-rate) generation of interference correlation estimates and/or equalization filter values for a received communication signal.