Abstract:
UE (120) and method (500) in a UE (120), for MIMO detection of signals received from a radio network node (110), comprised in a wireless communication network (100). The method (500) comprises receiving (501) a signal of the radio network node (110). The method (500) also comprises establishing (510) a list of hypotheses candidate vector. Furthermore, the method (500) in addition comprises computing (511) path metrics of the established (510) list of hypotheses candidate vector, and thereby computing LLRs utilising the computed path metrics for achieving MIMO detection.
Abstract:
Receiver and method in a receiver, for estimating a normalised frequency offset between a transmitter and the receiver in a wireless communication system, based on Orthogonal Frequency Division Multiplexing, OFDM. The method comprises receiving a first pilot signal (yr1) and a second pilot signal (yr2) from the transmitter; computing a Karhunen-Loeve approximation λK(φ), up to any finite order K of a log-likelihood function λ(φ), based on the received pilot signals (yr1, yr2); and estimating the frequency offset by calculating a maximum value of the computed Karhunen-Loeve approximation λK(φ).
Abstract:
Receiver and method in a receiver, for receiving a signal from a transmitter in a wireless communication system, based on OFDM. The method comprises: receiving a plurality of signals y from the transmitter; determining a group T of REs for which the CEE is assumed to be constant; extracting the determined group T of REs, from the received signals y; computing noise and CEE covariance matrix Rww for the extracted T REs, initialised as: Rww=(N0+Mσ2)I; computing a MMSE filter WMMSE, based on the computed noise and CEE covariance matrix Rww; and obtaining an MMSE estimate {circumflex over (x)} of payload data x comprised in the received signals y, associated with the extracted T REs by applying the computed filter WMMSE to the extracted T REs of the received signals: {circumflex over (x)}=WMMSEy.
Abstract:
Receiver and method in a receiver, for iterative channel estimation and data decoding of signals received from a radio network node, located in a wireless communication network. The method comprises detecting a signal of the radio network node, performing channel estimation of the detected signal, based on iterative application of a Space Alternating Generalized Expectation and maximization, SAGE, algorithm, determining a channel/link quality, based on the performed channel estimation and the estimated channel parameters, selecting Multiple-Input and Multiple-Output, MIMO, detector, based on the determined channel quality, determining to enable and/or disable, respectively, soft-Iterative Channel Estimation, soft-ICE, based on the determined channel quality, and iterating the performed channel estimation for a predetermined number of times.
Abstract:
A user equipment (UE) and a method are presented. The UE comprises a receiver unit and a processing circuit, and is configured for receiving wireless signals. The processing circuit is arranged for performing pre-detection of the received signals providing an initial estimation of transmitted signals. The processing circuit is also arranged for splitting the transmitted signal into disjoint subgroups, each one covering a subgroup of all layers used for the transmitted signal such that the subgroups together cover all the layers. The processing circuit is also arranged for interference cancellation performed on the subgroups of transmitted signals based on the initial estimation of the transmitted signals. The processing circuit is also arranged for detection of the subgroups of transmitted signals by utilization of an MLD algorithm, wherein the subgroup of layers within each one of the subgroups of transmitted signals is detected simultaneously.
Abstract:
The present invention relates to an equalizing method in a receiver node of a cellular wireless communication system, the method comprising: receiving at least one radio signal comprising a plurality of resource elements; obtaining interference information associated with the plurality of resource elements; extracting resource elements from the plurality of resource elements carrying data into a first set based on the interference information; dividing the resource elements in the first set into one or more sub-sets each comprising T number of resource elements; filtering the resource elements in said one or more sub-sets by applying a balanced whitening and energy focusing filter W so as to obtain filtered resource elements y; and equalizing the filtered resource elements y. The invention also relates to a receive device, a computer program, and a computer program product.
Abstract:
The present invention relates to an equalizing method in a receiver node of a cellular wireless communication system, the method comprising: receiving at least one radio signal comprising a plurality of resource elements; obtaining interference information associated with the plurality of resource elements; extracting resource elements from the plurality of resource elements carrying data into a first set based on the interference information; dividing the resource elements in the first set into one or more sub-sets each comprising T number of resource elements; filtering the resource elements in said one or more sub-sets by applying a balanced whitening and energy focusing filter W so as to obtain filtered resource elements y; and equalizing the filtered resource elements y. The invention also relates to a receive device, a computer program, and a computer program product.
Abstract:
The present disclosure relates to an iterative pilot symbol interference cancellation method in a receiver node of a cellular wireless communication system. The method includes receiving a superimposed signal comprising pilot symbols and data symbols associated with a serving cell and pilot symbols associated with one or more interfering cells, extracting a first set from the superimposed signal. The first set includes a plurality of data symbols associated with said serving cell which are affected by an interference from the one or more interfering cells. The method further includes estimating an interference of the first set, removing interference from the first set using the estimated interference, estimating the plurality of data symbols, subtracting the estimated plurality of data symbols from the first set, and repeating the estimating an interference, the removing interference, the estimating plurality of data symbols, and the subtracting steps i number of times, where i≧1.
Abstract:
The present disclosure relates to an iterative method for estimating covariance matrices of communication signals comprising a) computing a reference symbol covariance matrix estimate (k,l); b) inputting said reference symbol covariance matrix estimate (k,l) to a detector or a decoder in a first iteration, and thereafter inputting the covariance matrix estimate output from e) to the detector or the decoder in subsequent iterations to obtain an updated demodulated or decoded communication signal for each iteration; c) inputting the demodulated or decoded communication signal to a symbol generator; d) computing an updated data covariance matrix estimate (k,l) for each iteration based on data symbols of said regenerated communication signal; e) combining said reference symbol covariance matrix estimate (k,l) and said updated data covariance matrix estimate (k,l); and f) forwarding said covariance matrix estimate output to the detector or decoder in b) to obtain the updated demodulated or decoded communication signal for each iteration.
Abstract:
A user equipment (UE) and a method are presented. The UE comprises a receiver unit and a processing circuit, and is configured for receiving wireless signals. The processing circuit is arranged for performing pre-detection of the received signals providing an initial estimation of transmitted signals. The processing circuit is also arranged for splitting the transmitted signal into disjoint subgroups, each one covering a subgroup of all layers used for the transmitted signal such that the subgroups together cover all the layers. The processing circuit is also arranged for interference cancellation performed on the subgroups of transmitted signals based on the initial estimation of the transmitted signals. The processing circuit is also arranged for detection of the subgroups of transmitted signals by utilization of an MLD algorithm, wherein the subgroup of layers within each one of the subgroups of transmitted signals is detected simultaneously.