Abstract:
In a receive node (230) of a wireless network (100), an iterative multi- user multi-stage interference cancellation receiver (400, 800, 1100) is used. After each stage of interference cancellation, interference characteristics change. An adaptive finger placement strategy is used in which after each stage of interference cancellation, finger delays and combining weights of the receiver (400, 800, 1100) are adapted to reflect the changed interference characteristics.
Abstract:
In a receive node (230) of a wireless network (100), an iterative multi-user multi-stage interference cancellation receiver (400, 800, 1100) is used. After each stage of interference cancellation, interference characteristics change. An adaptive strategy is used in which after each stage of interference cancellation, impairment covariance is parametrically updated and combining weights of the receiver (400, 800, 1100) are adapted to reflect the updated impairment covariance.
Abstract:
In a mobile communication system with a shared downlink traffic channel, the mobile terminals in contention for the downlink traffic channel report channel conditions to the base stations. The base station schedules the mobile terminals based on channel quality estimates from the mobile terminals and selects a transmitter configuration. The transmitter configuration may comprise, for example, the antenna configuration, and/or power and code allocations used by the base station. The base station broadcasts the transmitter configuration to all active and inactive mobile terminals. Knowledge of the transmitter configuration by the inactive mobile terminals improves the accuracy and reliability of the channel quality estimates.
Abstract:
A receiver reduces interference in a received symbol of interest attributable to an interfering symbol using knowledge of the symbol spreading codes. The receiver comprises a plurality of correlators generating despread values for the received symbol of interest and the interfering symbol, and a combiner to combine the despread values using combining weights calculated base on spreading code correlations between spreading codes for the received symbol of interest and the interfering symbol.
Abstract:
Teachings presented herein offer a technique for using a demodulator to improve a demodulation process. For example, a demodulation unit according to an embodiment of the present invention may be a multi-stage demodulator and may include: a demodulator configured to receive a baseband signal and configured to produce modem bit likelihood values based on the received baseband signal; a decoder configured to receive and process the modem bit likelihood values to produce improved modem bit likelihood values; a candidate value generator configured to produce, based on the improved modem bit likelihood values, candidate symbol values for a group of one or more symbols; and a detector configured to receive the baseband signal and the candidate symbol values and configured to produce one of (a) final modem bit estimates and (b) candidate symbol values for a group of symbols.
Abstract:
The present invention provides systems and methods that enable a base station to consume less power. According to an embodiment of the invention, the base station reduces its power consumption by not continuously broadcasting control information. In such an embodiment, a mobile station that seeks access to a network to which the base station provides access does not search for broadcast control information prior to transmitting an access message to the base station, but rather simply transmits on a predetermined access channel an access request message. A base station that receives the access request message may unicast control information to the mobile station.
Abstract:
With a nonparametric G-Rake receiver, combining weights may be determined using a nonparametric mechanism in multiple-input, multiple-output (MIMO) scenarios. In an example embodiment, a method for a receiving device having a nonparametric G-Rake receiver entails calculating an impairment covariance matrix and determining combining weights. More specifically, the impairment covariance matrix is calculated based on a pilot channel using a nonparametric mechanism in a MIMO scenario in which a code-reuse interference term exists. The combining weights are determined for the nonparametric G-Rake receiver responsive to the impairment covariance matrix and by accounting for the code-reuse interference term.
Abstract:
The present invention relates to a method and an arrangement of facilitating the allocation of radio resources in a communication network, comprising a communication network node (15) communicating with said user equipment (18) by means of data streams over a radio interface on radio channels. A channel quality message having a length of a predefined number of bits is provided comprising information which is used for comparing an obtained channel quality if a single data stream transmission is selected or if a multi data stream transmission is selected for said communication. The available radio resources are then allocated based on said channel quality message.
Abstract:
There is provided a method of operating a network node in a communication network, the communication network comprising a mobile device, a first base station and a second base station, the first base station having a lower transmission power than the second base station and being located within the coverage area of the second base station, the mobile device being located within an imbalanced region between the first base station and the second base station and being served by the first base station, the method in the network node comprising configuring the mobile device, the first base station and the second base station such that the mobile device transmits uplink data to the first base station, and the mobile device receives downlink data only from the second base station. Corresponding methods are provided for operating a mobile device and a second base station. A network node, mobile device and second base station are also provided that are configured to perform the respective operating methods.
Abstract:
In a receive node (230) of a wireless network (100), an iterative multi-user multi-stage interference cancellation receiver (500, 1400, 1700) is used. The receiver (500, 1400, 1700) 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.