Nec Corporation

Osaka University

The Doshisha

Takanobu Doi

Kazushi Muraoka

Naoto Ishii

Shinsuke Ibi

Takumi Takahashi

Seiichi Sampei

Jun Shikida

A base station, a method for a base station, and a program capable of appropriately selecting radio terminals for which spatial multiplexing is performed and an MCS, and thereby increasing throughput in multi-user MIMO are provided. A base stationaccording to the present disclosure includes: a correction parameter storage unitconfigured to store a plurality of correction parameters for each of a plurality of radio terminals, the plurality of correction parameters being provided for each of the radio terminals; a correction parameter selection unitconfigured to select a predetermined correction parameter from among the plurality of correction parameters based on a combination of radio terminalsthat are spatially multiplexed in the same radio resource; a correction value calculation unitconfigured to calculate a correction value of the radio terminalbased on the predetermined correction parameter.

Base station, method for base station, and computer readable medium

A wireless receiving apparatus generates an N'&#xd7;B&#x2032; weight matrix W whose columns are orthogonal to each other by decomposing an estimated N&#x2032;&#xd7;M&#x2032; channel matrix into the N&#x2032;&#xd7;B&#x2032; weight matrix W and a B&#x2032;&#xd7;M&#x2032; matrix containing two or more non-zero matrix elements in each column, where B&#x2032; is an integer less than or equal to N&#x2032;-1 and greater than or equal to M&#x2032;. Alternatively, the wireless receiving apparatus generates a combination of an N&#x2032;&#xd7;B&#x2032; sub-weight matrix Wand at least one second sub-weight matrix, where the product of the sub-weight matrix Wwith the at least one second sub-weight matrix is equal to the weight matrix W. The wireless receiving apparatus performs receive beamforming on received signals of N&#x2032; receiving antennas using the weight matrix W or the sub-weight matrix W. The wireless receiving apparatus then performs a BP algorithm using receive-beamformed signals.

Wireless receiving apparatus and method thereof

A method implemented in a computer system includes training a network, which is obtained by unfolding an iterative algorithm for demodulation or demodulation and decoding, using a machine learning technique with a loss function that takes into account non-Gaussianity of a log-likelihood ratio (LLR) distribution calculated from an output of the network. The method further includes producing a first set of learned parameters of that iterative algorithm.

Receiver apparatus, and method for producing parameters for demodulation

Growing community of inventors

Tokyo, Japan

Takanobu Doi