Lucent Technologies Inc.

Magnus Sandell

Ran-Hong Yan

Carlo Luschi

Syed Aon Mujtaba

Paul Edward Strauch

Harish Viswanathan

Louis Gwyn Samuel

Howard C Huang

Stephan Ten Brink

Jian Jun Wu

Laurence Eugene Mailaender

Konstantinos Samaras

Cristian Demetrescu

In a MIMO system the bit error rate floor caused by time dispersion is reduced by employing a joint minimum mean square error (MMSE) equalizer for all of the respective transmit antenna&#x2014;receive antenna pairings that are possible in the MIMO system. The resulting joint equalization compensates not only for the impact of the channel on the transmit antenna&#x2014;receive antenna pairings but also for the interference of the other transmit antennas on any given receive antenna. The joint equalization outperforms simply replicating the prior art minimum mean square error (MMSE) equalizer for each transmit antenna&#x2014;receive antenna pairings.

Signal detection by a receiver in a multiple antenna time-dispersive system

In the GPRS, a method of decoding uplink status having reduced interleaving depth in a RLC/MAC block is proposed; for RT-EGPRS users, all of the uplink flag bits are provided in the first burst of the four bursts; and for EGPRS users, nine bits of the uplink status flags are provided in the first burst of the RLC/MAC block and the remaining bits in the next three bursts. On receiving the first nine bits, a mobile performs an autocorrelation to identify the USF whether it belongs to the EGPRS or to the RT-EGPRS group.

Method of decoding uplink status flags for RT-EGPRS users

A method of estimating channel impulse response in a signal transmitted over a channel in a communication system is described. The channel estimator obtains a priori knowledge about the transmitted signal, and then uses the transmitted signal and the a priori knowledge to choose an estimate of channel impulse response which minimizes the expected distance between the transmitted signal and a reconstructed signal. The expected distance that is minimized is a cost function, represented by E&lcub;&par;r&minus;Bh&par; r&rcub;. By using soft decision feedback, the invention minimizes erroneous decision feedback which can cause error propagation. The decisions are usually in the form of log likelihood ratios (LLR).

Channel estimation using soft-decision feedback

Apparatus and method for iteratively decoding a signal are provided. The apparatus includes a central pool of resources for iteratively decoding signals. The central pool may run a plurality of iterative decoding processes, each process being allocated to a signal processing unit upon request and depending upon resource availability.

Method and apparatus for iterative decoding from a central pool

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Swindon, United Kingdom

Magnus Sandell