Electronics and Telecommunications Research Institute

Samsung Electronics Co., Ltd.

Yonsei University

Jae Kwon Kim

Young Jo Bang

Youn Ok Park

Kyung Yeol Sohn

Youn-Ok Park

Hoon Ki Lee

Hoon Do Heo

Jun-Woo Kim

Seung Jae Bahng

Hyun Myung Wu

Dae Ho Kim

Sung-hee Kim

Jong-Wook Park

Jung Pil Choi

Hyeong Sook Park

Eon Young Hong

Chang Wahn Yu

Jun Woo Kim

Young Ha Lee

Ju Hee Yun

Nu Li Byul Kim

Seungjae Bang

Nulibyul Kim

Yong-Jun 201-1203 Hyundai Home Town Kim

Hyo-Dae Kim

Eu-Gene Choi

Yu-Seong Jeon

Young-Mi 201-404 Hyundai 6-Cha 1-Park Kang

Provided is a method of determining a toggle sequence for error detection based on a soft decision value and a method and apparatus for determining an error pattern, and more particularly, to a method of determining an optimum toggle sequence and error pattern based on a soft decision value in order to allow for faster error (pattern) detection and correction. It is an object of the invention to implement low redundancy, less delay, and a receive-side error correction capability by combining advantages of the conventional ARQ scheme and the conventional FEC scheme using a soft decision reliability. For this purpose, according to a first embodiment of the present invention, in order to optimize the toggle sequence speed, there is provided a method of determining a toggle sequence such that bits are toggled sequentially in the order of a smaller sum of soft decision reliabilities to be toggled.

Method and device for determining toggle sequence and error pattern based on soft decision

Provided is a method for transmitting and receiving multi-input multi-output in a wireless backhaul network, including: selecting at least one pair of dual-polarized transmitting antennas to be activated among pairs of dual-polarized transmitting antennas of a transmitter; transmitting a signal through the selected pairs of dual-polarized transmitting antennas; and receiving, by pairs of dual-polarized receiving antennas of a receiver, the signal transmitted from the transmitter.

System for transmitting and receiving multi-input multi-output and method for transmitting and receiving multi-input multi-output using the same

A data processing method, an equalizer, and a receiver in a wireless communication system including a relay station are provided. The data processing method includes: receiving a base station signal from a base station; receiving a relay station signal from a relay station; determining a propagation delay between the base station signal and the relay station signal; generating an equalizing signal in which interference generated between the base station signal and the relay station signal is alleviated in consideration of the propagation delay; and recovering information bits transmitted by the base station from the equalizing signal. According to an exemplary embodiment of the present invention, it is possible to alleviate performance deterioration due to an interference problem generated in a relay system.

Data processing method, equalizer and receiver

A receiver in a multiple-input multiple-output (MIMO) system is provided. The receiver includes a channel estimator estimating a channel based on a receiving signal, a minimum mean square error (MMSE) based reciprocal log likelihood ratio (R-LLR) calculator connected with the channel estimator and calculating an R-LLR based on the receiving signal and the estimated channel, and a channel decoder connected with the MMSE based R-LLR calculator and decoding the channel and the receiving signal based on the calculated R-LLR, wherein the R-LLR is calculated based on the reciprocity.

Method and apparatus of detecting signal based on minimum mean square error in multiple input multiple output system

The present invention relates to a method of detecting a candidate vector and a method of detecting a transmission symbol using the same. According to an embodiment of the present invention, in a multiple input multiple output (MIMO) system using spatial multiplexing (SM), a receiver selects candidate vectors corresponding to a layer located at a last row among a plurality of rearranged layers, and sequentially ranks constellation dots of a next layer for each of the selected candidate vectors. Then, a plurality of arbitrary constellation dots are selected from the ranked constellation dots, accumulated costs of the arbitrary constellation dots are calculated, and a candidate vector is selected in correspondence with a constellation dot having a minimal accumulated cost. Then, a new arbitrary constellation dot is selected in place of the constellation dot selected as the candidate vector, an accumulated cost of the selected arbitrary constellation dot is compared with accumulated costs of the other arbitrary constellation dots, and another candidate vector is selected.

Method of selecting candidate vector and method of detecting transmission symbol

The present invention relates to a method of calculating a log-likelihood ratio and a method of detecting a transmission signal. According to the present invention, when a transmission symbol candidate vector is detected on the basis of a received signal, a threshold value and an ML metric of each transmission symbol candidate vector are calculated and the ML metric that is larger than the threshold value is updated by the threshold value. Further, a log-likelihood ratio of the transmission signal bit is calculated using the updated ML metric and the threshold value, and a transmission signal is detected using the log-likelihood ratio.

Method of calculating log-likelihood ratio and method of detecting transmission signal

Growing community of inventors

Wonju-si, South Korea

Jae Kwon Kim