Abstract: Embodiments of the present disclosure relate to a method, an apparatus and a computer readable storage medium for generating soft-decision information for a receiver. In example embodiments, a method is provided. The method includes receiving, at a first device, a signal from a second device, the signal corresponding to a group of symbols transmitted from the second device; determining, by performing Lattice Reduction linear detection on the signal, a first group of estimated symbols for the group of symbols; determining, by performing iterative interference cancellation on the first group of estimated symbols, a second group of estimated symbols for the group of symbols; and generating, based on the second group of estimated symbols, soft-decision information about the group of symbols for use by a decoder at the first device. Embodiments of the present disclosure can improve the receiver performance with reduced complexity.

Abstract: Embodiments of the present disclosure relate to a method, an apparatus and a computer readable storage medium for generating soft-decision information for a receiver. In example embodiments, a method is provided. The method includes receiving, at a first device, a signal from a second device, the signal corresponding to a group of symbols transmitted from the second device; determining, by performing Lattice Reduction linear detection on the signal, a first group of estimated symbols for the group of symbols; determining, by performing iterative interference cancellation on the first group of estimated symbols, a second group of estimated symbols for the group of symbols; and generating, based on the second group of estimated symbols, soft-decision information about the group of symbols for use by a decoder at the first device. Embodiments of the present disclosure can improve the receiver performance with reduced complexity.

Abstract: An apparatus is disclosed, comprising means for identifying a plurality of user equipment (UE), each transmitting one or more uplink packets for decoding at a base station associated with a given cell of a radio network. The apparatus further comprises means for clustering the identified user equipment into joint processing groups, each joint processing group comprising the identities of two or more user equipment as clustered and means for performing, in a first processing stage, joint processing of the uplink data streams for identified user equipment within common joint processing groups using one or more first processing algorithms to produce corresponding first processed uplink data streams.

Abstract: An apparatus is disclosed, comprising means for identifying a plurality of user equipment (UE), each transmitting one or more uplink packets for decoding at a base station associated with a given cell of a radio network. The apparatus further comprises means for clustering the identified user equipment into joint processing groups, each joint processing group comprising the identities of two or more user equipment as clustered and means for performing, in a first processing stage, joint processing of the uplink data streams for identified user equipment within common joint processing groups using one or more first processing algorithms to produce corresponding first processed uplink data streams.

Abstract: An Ordered Reduced Set Successive Detector (RSSD) for the V-BLAST spatial multiplexing scheme that uses a general two-dimensional non-uniform set partitioning for different symbols. The detector provides improved diversity and SNR gains at reduced complexity compared to a uniform set partitioning based detector. The detector can be used to reduce the complexity, with a small tradeoff in performance. Further, it is possible to obtain a quasi-ML performance using the disclosed detector at a reduced, yet fixed, complexity.

Abstract: An Ordered Reduced Set Successive Detector (RSSD) for the V-BLAST spatial multiplexing scheme that uses a general two-dimensional non-uniform set partitioning for different symbols. The detector provides improved diversity and SNR gains at reduced complexity compared to a uniform set partitioning based detector. The detector can be used to reduce the complexity, with a small tradeoff in performance. Further, it is possible to obtain a quasi-ML performance using the disclosed detector at a reduced, yet fixed, complexity.