Huawei Technologies Co., Limited

Fudan University

Sha Hu

Fredrik Rusek

Basuki Endah Priyanto

Gengshi Wu

Jianjun Chen

Shashi Kant

Yan Wu

Fener Chen

Dang Cheng

Wenquan Hu

Bengt Lindoff

Zedu Huang

Yongxia Lyu

Ge Meng

Chaitanya Tumula

Haihui Peng

Guanfeng Liang

Sergei Semenov

Dzevdan Kapetanovic

Neng Wang

Xiaohui Liu

Weiming Duan

Xiaoyan Bi

Basuki Endah Prianto

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.

Methods and devices for enhanced DAI

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.

Method of synthesizing (1S, 5R)-lactone

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.

Method and apparatus for interference estimation in wireless communication networks

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.

Methods and nodes in a wireless communication network

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.

Equalizing method in a receiver node of a wireless communication system

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.

Method for estimating covariance matrices and use thereof

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.

Methods and user equipment in a wireless communication network

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Lund, Sweden

Sha Hu