Abstract:
A processing circuit and method generate signal quality estimates based on scaling measured inter-symbol interference (ISI) in a received signal according to a cancellation metric corresponding to ISI cancellation performance of the receiver. By accounting for ISI cancellation performance of the receiver based on a simple scaling metric, accurate received signal quality measurements are obtained in a manner that accounts for un-cancelled ISI in the received signal without requiring use of potentially complex multipath combining weight calculations in the signal quality calculation. Signal quality estimation results may be used for sending corresponding Channel Quality Indicators, communication link transmit power control commands, etc. In some embodiments, the cancellation metric is maintained as a dynamic value based on measured ISI cancellation performance, while in other embodiments the cancellation metric comprises a pre-configured value stored in memory, for example.
Abstract:
A method and device (100) for estimating a signal to interference ratio (SIR) of a signal transmitted from a first unit and to a remotely located second unit in a Wideband Code Division Multiple Access (WCDMA) wireless communication system. The transmitted TPC (Transmit Power Control) is checked and upon this result the SIR is determined. The checking of the TPC includes the estimation of the previous and the present power using a weighted contribution of the pilots and the data.
Abstract:
The method and apparatus described herein uses variable length snapshot periods to determine signal strength measurements. A mobile station determines the measurement bandwidth associated with a base station, and sets the snapshot period based on the measurement bandwidth. The mobile station determines the signal strength of serving and neighboring cells during snapshot periods. Such signal strength measurements may be used to assist and/or direct handover operations.
Abstract:
Methods and receiver circuits for determining and employing decision boundary estimates for use in de-mapping QAM symbols in an OFDM receiver are disclosed. The disclosed methods efficiently use memory resources, while taking account of the frequency-selective and time-varying nature of the signal propagation. An OFDM receiver calculates a decision boundary estimate using QAM-modulated symbols selected from a group of OFDM tones and determines soft bit values for symbols selected from an adjacent tone using the decision boundary estimate. The receiver updates the decision boundary estimate using the symbols from the adjacent tone and determines soft bit values for symbols selected from a next-adjacent tone using the updated decision boundary estimate. Once the decision boundary estimate has been updated and the soft bit values have been determined for each tone, the symbol data for that tone may be discarded.
Abstract:
A method and a receiver for receiving coded digital data symbols sent from a transmitter through a transmission channel of a communications network is adapted to calculate first symbol estimates (y) of sent data symbols from the received data symbols, each of the first symbol estimates (y) having a first bitwidth (a+b), provide a scaling factor (s) and using the scaling factor (s) to scale the first symbol estimates, truncate the scaled symbol estimates (ysc) to a second, lower bitwidth (c) and thereby providing second symbol estimates (yt)
Abstract:
Coded digital data symbols sent through a transmission channel of a communications network are received in a receiver. Estimates (y) represented by a first number (a+b) of bits are calculated, and modified estimates (y′) represented by a second number (c) of bits provided therefrom, the second number being lower than the first number. An amplitude value is calculated for each estimate (y), and an averaged amplitude value calculated for a number of amplitude values. A scaling factor (s) is calculated form the averaged amplitude value, and scaled estimates generated in dependence of die scaling factor. The scaling factor is used for a number of scaled estimates corresponding to the number of amplitude values for which the averaged amplitude value was calculated. Thus a better scaling factor is provided for most channel cases, which can still be calculated with the limited computational resources of a terminal for such networks.
Abstract:
Multipath components of signals transmitted through time-varying digital radio channels are received with individual delays, and signals through a given channel comprise a code identifying that channel. A delay profile indicating a magnitude (Y) for delay values in a search window is calculated repetitively for known channels; the delays of multipath components for known channels estimated; a signal strength indicator calculated; and a search for new multipath components not already estimated performed at regular time intervals. When a new multipath component is found, its identification code is compared to the codes of the known channels. If the code of the new component is identical to the code of a known channel, a delay profile and a signal strength indicator is calculated for a window transposed to include the new multipath component. In this way as many multipath components as possible are included in the search window for a new cell.
Abstract:
In one aspect, the present invention provides for blindly detecting the presence of one or more secondary pilot signals that are not being used to serve a communication apparatus, such as a User Equipment (UE). Among its several advantages, the approach to blind detection taught herein provides robust detection performance, yet it requires relatively few receiver resources. The contemplated apparatus, in at least one example embodiment, uses its blind detection of secondary pilot signal(s) to trigger suppression of secondary pilot interference, for improved reception performance. In a particular, non-limiting example, the apparatus operates in an HSDPA-MIMO network in a non-MIMO mode and blindly detects secondary pilot signal energy associated with the supporting network providing MIMO service to nearby equipment.
Abstract:
Techniques are disclosed for determining which channelization codes are used for an interfering HS-PDSCH transmission without knowing whether a neighboring UE targeted by that transmission has had its 64QAM capability activated by higher layer signaling. The average amplitude is measured for each of several possible groups of channelization codes for each of one or more nearby UEs that might be the targets of interfering HS-PDSCH messages. Testing whether the amplitude is approximately the same across the codes in a possible combination of channelization codes yields a metric value that indicates whether that particular combination of codes is likely to be transmitted to a given UE. A second metric that detects the most likely modulation for possible groups of channelization codes is also calculated. The metrics are combined to determine which combination of channelization codes and modulation scheme is most likely being used for addressing the neighboring UE.
Abstract:
The computation of code-specific channel matrices for an Assisted Maximum Likelihood Detection (AMLD) receiver comprises separately computing high rate matrices that change each symbol period, and a low rate matrix that is substantially constant over a plurality of symbol periods. The high and low rate matrices are combined to generate a code-specific channel matrix for each receiver stage. The high rate matrices include scrambling and spreading code information, and the low rate matrices include information on the net channel response and combining weights. The low rate matrices are efficiently computed by a linear convolution in the frequency domain of the net channel response and combining weights (with zero padding to avoid circular convolution), then transforming the convolution to the time domain and extracting matrix elements. Where the combining weights are constant across stages, a common code-specific channel matrix may be computed and used in multiple AMLD receiver stages.