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:
Embodiments of the present invention disclose a human-computer interaction method of a user terminal, an apparatus, and a user terminal. The method includes: collecting entered fingerprint information; if target fingerprint information that matches the fingerprint information exists in stored preset fingerprint information, determining an application bound to the target fingerprint information; and displaying at least one application option included in the application. In the embodiments of the present invention, application option search efficiency can be improved.
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:
A receiving device including a receiver configured to receive a communication signal (CS) in a current time frame, and a processor configured to determine a set of candidate Control Channels (CCHs), determine a decoding order for the candidate CCHs in the set, decode at least one candidate CCH in the set according to the decoding order, compute a possible Radio Network Temporary Identifier (RNTI) for the decoded candidate CCH, compute a metric value (MV) for the decoded candidate CCH, the MV provides an indication when the decoded candidate CCH might be an actual CCH, determine when the decoded candidate CCH is an actual CCH based on the computed possible RNTI and the MV, derive control information (CI) from the decoded candidate CCH when the decoded candidate CCH is determined as an actual CCH, and cancel or suppress interference in the CS based on the derived CI.
Abstract:
A receiver and method applied to the receiver, for estimating a normalized frequency offset value ε between a transmitter and the receiver in a wireless communication system, based on Orthogonal Frequency Division Multiplexing (OFDM), where the method includes receiving a first pilot signal (yr1) and a second pilot signal (yr2), from the transmitter, determining a correlation model to be applied based on correlation among involved sub-carrier channels at the yr1 and the yr2, computing three complex values μ−1, μ0, and μ1, by a complex extension of a log-likelihood function (λ(ε)), based on the determined correlation model, and estimating the ε by finding a maximum value of a Karhunen-Loeve approximation of the λ(ε), based on the computed three complex values μ−1, μ0, and μ1.
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:
An operation method with fingerprint recognition, an apparatus, and a mobile terminal relate to the field of communications technologies, where the method includes obtaining a fingerprint event that is entered by a user, presenting at least one shortcut when the fingerprint event that is entered by the user matches a preset fingerprint event, obtaining an operation vector, where the operation vector is generated by operating at least one operation component of the mobile terminal by the user, running a first shortcut in the at least one shortcut according to the operation vector, and presenting a running result. Thereby reducing operation duration, and improving operation efficiency.
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.