Chonnam National University

Hyeonsung Kim

Intae Hwang

Sangmi Moon

Provided are a deep learning-based beamforming communication system and method, wherein in an indoor environment using millimeter wave communication, in response to reference signals transmitted from a base station to at least one user terminal, reference signal received power and location information for each user terminal location are received from each user terminal and a fingerprint DB is constructed, and from the constructed fingerprint data, a user model is constructed on the basis of reference signal received power for each user terminal location and a blockage model is constructed on the basis of reference signal received power according to each blockage located between the base station and the user terminal. Location information and data traffic are received from the at least one user terminal, a beam index of the user terminal corresponding to the received data traffic is derived from a deep neural network, and a communication channel between the base station and a user is formed with the derived beam index, whereby reliability and a data transfer rate are improved in an indoor communication environment.

Deep learning-based beamforming communication system and method

A fingerprint-based beam interference cancellation system and a method thereof are proposed. A communication part receives location information and reference signal reception power which is strength of a received signal provided from each user terminal in response to a reference signal, a fingerprint DB construction part constructs a fingerprint database by receiving the reference signal reception power and the location information, a group-based fingerprint DB construction part constructs a group-based fingerprint database by grouping user terminals, aligning the remaining beams, generating group fingerprint data with the aligned beams, and using the generated group fingerprint data, a first beam interference cancellation part generates a beam set for each group from which beam interference within the group is cancelled, and a second beam interference cancellation part removes beams redundant between the groups and cancels intra-group and inter-group beam interference in millimeter wave communication, thereby improving reliability and data transfer rate.

Growing community of inventors

Jeollanam-do, South Korea

Hyeonsung Kim