Abstract:
This disclosure describes equalization techniques for spread spectrum wireless communication. The techniques may involve estimating a channel impulse response, estimating channel variance, and selecting filter coefficients for an equalizer based on the estimated channel impulse response and the estimated channel variance. Moreover, in accordance with this disclosure, the channel variance estimation involves estimation of two or more co-variances for different received samples. Importantly, the equalizer is “fractionally spaced,” which means that the equalizer defines fractional filtering coefficients (filter taps), unlike conventional equalizers that presume that filter coefficients are defined at integer chip spacing. The techniques can allow the equalizer to account for antenna diversity, such as receive diversity, transmit diversity, or possibly both.
Abstract:
Techniques to more efficiently control the transmit power for a data transmission that uses a number of formats (e.g., rates, transport formats). Different formats for a given data channel (e.g., transport channel) may require different target SNIRs to achieved a particular BLER. In one aspect, individual target BLER may be specified for each format of each data channel. In another aspect, various power control schemes are provided to achieve different target SNIRs for different formats. In a first power control scheme, multiple individual outer loops are maintained for multiple formats. For each format, its associated outer loop attempts to set the target SNIR such that the target BLER specified for that format is achieved. In a second power control scheme, multiple individual outer loops are maintained and the base station further applies different adjustments to the transmit power levels for different formats.
Abstract:
The described apparatus and methods may include a receiver configured to receive a signal, the signal being a combination of physical channel signals that each correspond to a different one of a plurality of physical channels, and a controller configured to capture signal energy from at least two of the physical channel signals, and detect a cell based on the captured signal energy.
Abstract:
Schemes to time-align transmissions from multiple base stations to a terminal. To achieve time-alignment, differences between the arrival times of transmissions from the base stations, as observed at the terminal, are determined and provided to the system and used to adjust the timing at the base stations such that terminal-specific radio frames arrive at the terminal within a particular time window. In one scheme, a time difference between two base stations is partitioned into a frame-level time difference and a chip-level time difference. Whenever requested to perform and report time difference measurements, the terminal measures the chip-level timing for each candidate base station relative to a reference base station. Additionally, the terminal also measures the frame-level timing and includes this information in the time difference measurement only if required. Otherwise, the terminal sets the frame-level part to a predetermined value (e.g., zero).
Abstract:
Techniques to quickly adjust an SIR target toward a final value needed to achieve a specified target BLER for a data transmission. The outer loop may be implemented with multiple modes. The SIR target may be maintained fixed in a hold mode, adjusted in large down steps to speed up convergence in an acquisition mode, and adjusted by a small down step and a large up step for good and erased blocks, respectively, in a tracking mode. Various schemes may be used to adjust the SIR target by larger down steps in the acquisition mode. These schemes may be used even if data is transmitted intermittently, the target BLER is set to a low value, and/or one or multiple transport channels are used for data transmission. The SIR target may be boosted by a particular amount upon transitioning from the acquisition mode to the tracking mode.
Abstract:
A method for optimizing throughput in a wireless communication system is disclosed. A target metric is estimated based on previous acknowledgment data. A channel quality indicator offset is determined based on the target metric. A channel quality indicator is adjusted based on the channel quality indicator offset. The channel quality indicator indicates the quality of a wireless transmission channel.
Abstract:
Techniques are provided to control the transmit power for data transmission on multiple transport channels having different signal quality (SIR) targets. A single SIR target is maintained for all transport channels, and this SIR target is adjusted based only on active transport channels. For each update interval, a data processor processes at least one data block received in the current update interval on at least one of the transport channels and provides the status of each received data block. A controller increases the SIR target based on an up step if any received data block is erased and decreases the SIR target based on a down step if all received data blocks are good. If any received data block is erased, the down step used to adjust the SIR target may be set to the smallest down step size required by all transport channels with erased data blocks.
Abstract:
Devices and methods are provided for deploying and/or implementing a low power mode in an access point (AP) base station. The low power mode may be implemented based on the presence and/or status of access terminals (ATs). In one embodiment, the method may involve determining whether any ATs are present within at least one defined coverage area. In another embodiment, the method may involve determining whether the ATs are in an idle or active state.
Abstract:
Techniques to filter pilot symbols for a pilot in an “adaptive” manner to provide an improved estimate of the response of a communication channel. A received signal may experience different channel conditions at different times, and different multipaths may also experience different channel conditions even when received close in time. A pilot filter with an adaptive response is used to provide an improved estimate of the channel response. Various adaptive pilot filtering schemes may be used. In a first scheme, the channel conditions are estimated based on the quality of the received pilot. In a second scheme, the channel conditions are estimated based on the quality of the pilot estimates (i.e., the filtered pilot symbols). For each scheme, a particular filter response is selected based on the estimated quality of either the received pilot or the pilot estimates.
Abstract:
Techniques for filtering noisy estimates to reduce estimation errors are described. A sequence of input values (e.g., for an initial channel impulse response estimate (CIRE)) is filtered with an infinite impulse response (IIR) filter having at least one coefficient to obtain a sequence of output values (e.g., for a filtered CIRE). The coefficient(s) are updated based on the sequence of input values with an adaptive filter, a bank of prediction filters, or a normalized variation technique. To update the coefficient(s) with the adaptive filter, a sequence of predicted values is derived based on the sequence of input values. Prediction errors between the sequence of predicted values and the sequence of input values are determined and filtered to obtain filtered prediction errors. The coefficient(s) of the IIR filter are then updated based on the prediction errors and the filtered prediction errors.