Abstract:
Resource units are assigned within a cell of a wireless time division duplex communication system using code division multiple access. Each resource units is associated with a time slot and a code. For selected ones of the cell's resource units, the code interference level is measured during that unit's time slot and using that unit's code. The code interference level is compared to a threshold to determine whether that unit has an acceptable code interference level. Resource units are assigned to communications out of the unit's having acceptable interference levels.
Abstract:
A wireless transmit/receive unit (WTRU 250, Figure 1) for processing code division multiple access (CDMA) signals. The WTRU includes modem host (300) and a high speed downlink packet access (HSDPA) co-processor (400) , which communicate over a plurality of customizable interfaces. The modem host operates in accordance with third generation partnership project (3GPP) Release 4 (R4) standards, and the HSDPA co-processor enhances the wireless communication capabilities of the WTRU as a whole such that the WTRU operates in accordance with 3GPP Release 5 (S3) standards.
Abstract:
A receiver which includes at least one equalizer filter and a tap coefficients generator for implementing receive diversity. The equalizer filter processes a signal derived from signals received by a plurality of antennas. In one embodiment, sample data streams from the antennas are merged into one sample data stream. The merged sample data stream is processed by a single extended equalizer filter, whereby filter coefficients are adjusted in accordance with a joint error signal. A filter coefficient correction term used by the equalizer filter is generated by the tap coefficients generator using a normalized least mean square (NLMS) algorithm. In another embodiment, a plurality of equalizer filters are utilized, whereby each equalizer receives a sample data stream from a specific one of the antennas. In yet another embodiment, the sample data streams are combined after being processed by a plurality of matched filters based on respective estimated channel impulse responses.
Abstract:
A sliding window based data estimation is performed. An error is introduced in the data estimation to the communication modeling the relationship between the transmitted and received signals. To compensate for an error in the estimated data, the data that was estimated in a previous sliding window step (58) or terms that would otherwise be truncated as noise are used. These techniques (50, 52, 54, 56. 58, 60, 62 and 64) allow for data to be truncated prior to further processing reducing the data of the window.
Abstract:
A method and apparatus for performing signal-to-interference ratio (SIR) estimation in wireless communications, using a demodulator (505) output, such as a Rake output or a multi-user detection (MUD) receiver output. The demodulator (505) output is fed into a SIR estimator (400) to perform the SIR estimation based on estimated average signal power (610) and estimated average effective interference power (615). The estimated average signal power (615) is based on a minimum value function used for determining a minimum value between a median based average power value and a mean based average power value. The SIR estimator (400) reduces bias effects on SIR estimation, and is applicable to BPSK and QPSK modulation schemes, as well as higher order modulation schemes such as 8-PSK and 16-QAM. A correction term is used as a function of the mean and median values to further mitigate the bias effect.
Abstract:
A multiuser detector that detects and decodes synchronous or asynchronous CDMA subchannels having different spreading factors with reduced computational complexity. The multiuser detector is compatible with ZF-BLE, MMSE, decorrelating detectors and the like using Cholesky decomposition to minimize numeric operations. The system and method arranges the columns of system transmission response matrices representing the response characteristics of individual users into a total system transmission response matrix which represents a plurality of matched-filter responses for a given block of received data. The invention in conjunction with Cholesky decomposition reduces the number of required mathematic operations prior to parallel matched filtering.
Abstract:
A plurality of communication signals is received. Each communication signal has an associated code. At least two of the communication signals has a different spreading factor. The associated codes have a scrambling code period. A total system response matrix has blocks. Each block has one dimension of a length M and another dimension of a length based on in part M and the spreading factor of each communication. M is based on the scrambling code period. Data of the received plurality of communication signals is received using the constructed system response matrix.
Abstract:
A transmitting station (20) receives a transmit power command and a reference signal. The transmit power command (28) indicates an increase or decrease in transmission power for the transmitting station. A received power level of the reference signal is measured and the measured reference signal received power level is compared to a transmit power level of the reference signal to produce a pathloss estimate of the reference signal. A size of a change in transmit power level is determined using the pathloss estimate. A transmission power level of the transmitting station is adjusted in response to the transmit power command in an amount of the determined change in size. A communication is transmitted at the adjusted transmission power level.
Abstract:
The invention includes various approaches to assigning codes in wireless code division multiple access communication systems. The invention estimates the cross code correlation between codes to base the code assignment. One approach assigns codes having a high cross correlation to users having a low transmission power level. Another approach assigns code groups having a high cross correlation to a same coded composite transport channel. Another approach assigns codes using a cross correlation factor of each code to minimize a system noise rise. Another approach uses transmission or reception diversity to assign bad code groups to users having a different diversity relationship. Another approach uses a diversity factor and a cross code correlation factor to assign codes.
Abstract:
Method and apparatus for interference signal code power noise variance estimation employing a reduced number of samples utilizing the equation (15), where (14), where (I), where (I), where (12) and where (13). As an alternative, a recursive technique may be employed wherein the noise variance is estimated from the ignored coefficients of the estimated channel output and upgraded recursively as per the following: (II) where ĥi(j) are the channel estimates after the post processing and the noise variance estimates sigman-12, and the initial values of ĥi(j) are all zeros.