Abstract: Embodiments of the invention relate to a first target node (100) for a positioning system (400). The first target node (100) is configured to receive positioning reference signals (410) and a positioning message (420) from at least one second target node (300). The positioning message (420) of the second target node (300) indicates at least one estimated position of the second target node (300). Based on the received positioning reference signals (410) and the positioning message (420) of the second target node (300) the first target node (100) determines at least one estimated position (P1) of its own position. Thereby, improved positioning accuracy is provided. Furthermore, the invention also relates to a corresponding method and a computer program.

Abstract: A communication method includes: modulating a first set of information bits (IB1) into a first number of modulated symbols (MS1) based on a predetermined probability distribution function, mapping a second set of information bits (IB2) into a first number of sign bits (SB1), multiplying the first number of modulated symbols (MS1) with the first number of sign bits (SB1) into a first number of signed modulated symbols (SMS1); modulating a third set of information bits (IB3) into a second number of modulated symbols (MS2) based on the predetermined probability distribution function, mapping a fourth set of information bits (IB4) into a second number of sign bits (SB2), multiplying the second number of modulated symbols (MS2) with the second number of sign bits (SB2) into a second number of signed modulated symbols (SMS2).

Abstract: A communication method includes: obtains a first DAI in a first downlink control channel associated with transmission of a first transport block, wherein the first DAI indicates a first scheduling assignment for the first transport block; obtains a second DAI in a second downlink control channel associated with transmission of a second transport block, wherein the second DAI indicates a second scheduling assignment for the second transport block; determines that at least one value of the second DAI is an assigned value identical to a value of the first DAI.

Abstract: A communication method includes: obtains a first DAI in a first downlink control channel associated with transmission of a first transport block, wherein the first DAI indicates a first scheduling assignment for the first transport block; obtains a second DAI in a second downlink control channel associated with transmission of a second transport block, wherein the second DAI indicates a second scheduling assignment for the second transport block; determines that at least one value of the second DAI is an assigned value identical to a value of the first DAI.

Abstract: Disclosed is a method of synthesizing a series of compounds with the structure of (1S, 5R)-lactone. In the method, under the catalysis of a chiral phosphonic acid, substituted bicyclo[3.2.0]-hept-2-en-6-one (II) as a substrate is reacted with hydrogen peroxide for enantioselective Baeyer-Villiger oxidation to produce a chiral lactone (I). This method involves mild reaction conditions, simple operation, quantitatively recyclable catalyst and high reaction selectivity and stereoselectivity, which is suitable for industrial production.

Abstract: An apparatus including a processor configured to receive a digital communication signal, wherein the digital communication signal includes a common reference signal and transmitted data. The processor determines a first interfering channel matrix for a first interfering cell based on a channel estimation of the common reference signal, and estimates a first power offset ratio and a first effective pre-coding matrix for the first interfering cell by evaluating a maximum likelihood metric, wherein the maximum likelihood metric is based on a first interfering channel correlation. The processor then reconstructs a channel covariance matrix based on the estimated first power offset ratio and the first effective pre-coding matrix and detects the transmitted data based on the reconstructed channel covariance matrix.

Abstract: An apparatus including a processor configured to receive a digital communication signal having a plurality of transmitted layers. The processor is configured to determine an estimated channel matrix based on the digital communication signal, determine a first estimated transmitted symbol vector and a mean square error matrix based on a linear analysis of the received digital communication signal. A first set of bit LLR are determined based on a LMMSE type detector and a second set of bit LLR are determined based on a novel simplified tree search process. The two sets of bit LLR are then combined and used to detect the data in the received communication signal. The simplified tree search process uses a specially formed channel shortening process to determine a set of shortened channel correlation matrices that allow the second set of bit LLR to be determined using an alternative marginalized tree search process.

Abstract: An apparatus including a processor configured to receive a digital communication signal, wherein the digital communication signal includes a common reference signal and transmitted data. The processor determines a first interfering channel matrix for a first interfering cell based on a channel estimation of the common reference signal, and estimates a first power offset ratio and a first effective pre-coding matrix for the first interfering cell by evaluating a maximum likelihood metric, wherein the maximum likelihood metric is based on a first interfering channel correlation. The processor then reconstructs a channel covariance matrix based on the estimated first power offset ratio and the first effective pre-coding matrix and detects the transmitted data based on the reconstructed channel covariance matrix.

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: 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 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 si

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: 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: 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 communicati

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: 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 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: 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 Generalised Expectation and maximisation, 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: An anti-counterfeiting electronic device includes a function component assigned with an identification code ID and a processor. The processor generates a random code K1 and transmits the random code K1 to the function component; the function component encrypts the random code K1 and the identification code ID to generate a key ID1. The processor further obtains the key ID1 from the function component and decrypts the key ID1 to generate an identification code ID2, and determines whether the identification code ID2 is the same as the ID and executes the system login command if the identification code ID2 is the same as the identification code ID. An anti-counterfeiting method is also provided.

Abstract: An electronic reader system includes an electronic book and a stylus. The electronic book includes a battery and a cover. The stylus includes a pen body for writing on the electronic book to input data or commands into the electronic book, and an illumination member detachably attached to the pen body. The illumination member can be detached from the pen body and attached onto the electronic book, receiving electrical power from the book as it does so, to illuminate the electronic book.